Ideal Marketing Solutions provides a business intelligence solution that helps companies access critical performance data to improve efficiency and competitiveness. The solution allows mid-sized businesses to access advanced analytics tools previously only affordable for large companies. It provides real-time access to data and customizable reporting and analytics to help executives make evidence-based decisions. The agile, web-based platform delivers actionable intelligence to the right people at the right time to optimize processes and strategies.
Smart and proactive decision making is not only an advantage but a key to success of any business. This requires quantitative insights into various business operations and influences. The recent advancements in technology and a significant reduction in data storage costs have given rise to vast and versatile sources of data that provide a wealth of such insights. Harnessing them to accelerate and optimize your business is cardinal for keeping up with the emerging trends.
This document discusses business intelligence (BI) in financial institutions. It defines BI as gathering meaningful information to help with analysis and conclusions. An ideal BI system gives employees easy access to needed information and the ability to analyze and share it. The document contrasts traditional reporting with BI and analytic applications. It also discusses identifying BI opportunities by evaluating where it could improve decision making. The benefits of BI include improved operational and strategic decisions from timely information. The document outlines the layers of a BI infrastructure from operational data to delivering intelligence to users.
TRED is a company focused on improving revenue productivity and margins through analytics. Their platform combines internal performance data with customer experience data. The platform provides a single view of customers, analyzes resource activity and performance, provides revenue insights and analytics including forecasts and pipelines, and analyzes customer trust and advocacy. The platform is designed to help organizations improve the productivity and effectiveness of their revenue generation functions by providing data-driven insights. It captures data automatically from any source and provides customizable reports and apps to analyze performance, focus efforts, and coach teams. The goal is to help users do things right and do the right things to optimize business practices, resource utilization, and revenue growth.
Digitization affects almost everything in today's organizations, which makes capturing its benefits uniquely complex. However
1. Getting the engine in place to digitize at scale is uniquely complex as digital touches so many parts of an organization requiring unprecedented coordination of
People,
Processes, and
Technologies.
2. A strategy to increase revenue which generates the most value requires
A clear vision and plan for how to capture that value, and
Technologies and tools to digitize interactions with customers.
New capabilities and teams to manage and coordinate the delivery of those journeys across the organization.
3. With the average corporate life span falling for more than half a century(Standard & Poor’s data show it was 61 years in 1958, 25 years in 1980, and just 18 years in 2011) digitization is placing unprecedented pressure on organizations to evolve. That means digitally driven business model is crucial to survival.
This document discusses business analytics, including its importance, components, and implementation. Key points:
- Business analytics discovers insights from integrated data to help businesses make better decisions. It converts data to useful information.
- Analytics provides high visibility, competitive advantage, faster decisions, and operational efficiencies that lead to high returns on investment.
- The reference architecture has three layers - data, analytics access, and delivery. It supports historical, current, and predictive analytics across structured and unstructured data sources.
DatKnoSys provides business analytics services including customer intelligence, marketing analytics, risk analysis, web analytics, and social media analytics. They help companies make better business decisions by merging internal company data with external market data. Their value proposition is that they are experts in data integration and analysis who can provide clients a clear overview of what is happening in their business and sector, along with actionable recommendations.
The six-step guide outlines how to break through the analytics barrier and fully realize the benefits of analytics programs. The six steps are: 1) define customer experience outcomes, 2) integrate a big data infrastructure, 3) rethink the customer journey, 4) enhance insights with digital data and processes, 5) construct solutions from the customer perspective, and 6) test and measure for outcomes. Following these steps helps move analytics initiatives beyond operational reporting to enabling predictive insights that improve the customer experience.
Smart and proactive decision making is not only an advantage but a key to success of any business. This requires quantitative insights into various business operations and influences. The recent advancements in technology and a significant reduction in data storage costs have given rise to vast and versatile sources of data that provide a wealth of such insights. Harnessing them to accelerate and optimize your business is cardinal for keeping up with the emerging trends.
This document discusses business intelligence (BI) in financial institutions. It defines BI as gathering meaningful information to help with analysis and conclusions. An ideal BI system gives employees easy access to needed information and the ability to analyze and share it. The document contrasts traditional reporting with BI and analytic applications. It also discusses identifying BI opportunities by evaluating where it could improve decision making. The benefits of BI include improved operational and strategic decisions from timely information. The document outlines the layers of a BI infrastructure from operational data to delivering intelligence to users.
TRED is a company focused on improving revenue productivity and margins through analytics. Their platform combines internal performance data with customer experience data. The platform provides a single view of customers, analyzes resource activity and performance, provides revenue insights and analytics including forecasts and pipelines, and analyzes customer trust and advocacy. The platform is designed to help organizations improve the productivity and effectiveness of their revenue generation functions by providing data-driven insights. It captures data automatically from any source and provides customizable reports and apps to analyze performance, focus efforts, and coach teams. The goal is to help users do things right and do the right things to optimize business practices, resource utilization, and revenue growth.
Digitization affects almost everything in today's organizations, which makes capturing its benefits uniquely complex. However
1. Getting the engine in place to digitize at scale is uniquely complex as digital touches so many parts of an organization requiring unprecedented coordination of
People,
Processes, and
Technologies.
2. A strategy to increase revenue which generates the most value requires
A clear vision and plan for how to capture that value, and
Technologies and tools to digitize interactions with customers.
New capabilities and teams to manage and coordinate the delivery of those journeys across the organization.
3. With the average corporate life span falling for more than half a century(Standard & Poor’s data show it was 61 years in 1958, 25 years in 1980, and just 18 years in 2011) digitization is placing unprecedented pressure on organizations to evolve. That means digitally driven business model is crucial to survival.
This document discusses business analytics, including its importance, components, and implementation. Key points:
- Business analytics discovers insights from integrated data to help businesses make better decisions. It converts data to useful information.
- Analytics provides high visibility, competitive advantage, faster decisions, and operational efficiencies that lead to high returns on investment.
- The reference architecture has three layers - data, analytics access, and delivery. It supports historical, current, and predictive analytics across structured and unstructured data sources.
DatKnoSys provides business analytics services including customer intelligence, marketing analytics, risk analysis, web analytics, and social media analytics. They help companies make better business decisions by merging internal company data with external market data. Their value proposition is that they are experts in data integration and analysis who can provide clients a clear overview of what is happening in their business and sector, along with actionable recommendations.
The six-step guide outlines how to break through the analytics barrier and fully realize the benefits of analytics programs. The six steps are: 1) define customer experience outcomes, 2) integrate a big data infrastructure, 3) rethink the customer journey, 4) enhance insights with digital data and processes, 5) construct solutions from the customer perspective, and 6) test and measure for outcomes. Following these steps helps move analytics initiatives beyond operational reporting to enabling predictive insights that improve the customer experience.
The document discusses how organizations during the Dot Com era either succeeded or failed based on their ability to turn data into actionable business intelligence and performance management. It emphasizes that data alone is worthless, but data transformed into knowledge through performance management reports and metrics can guide strategic decision making. The document provides tips for organizations to harness historical performance data and metrics to create predictive exception-based reports, balance short and long-term goals, align individual and company objectives, and leverage technology to empower employees with relevant data and knowledge.
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
Investment banks recognize the need to digitize in order to generate new revenue sources but face challenges in defining digital strategies. The document discusses four key challenges investment banks face in becoming digital businesses: 1) Enabling seamless collaboration through tools like Salesforce Chatter. 2) Providing faster data and insights to clients through real-time risk analysis. 3) Creating a unified view of collateral management across business units. 4) Strengthening security measures like active defense as digital transformation increases risks. The document argues investment in areas like analytics, mobility, cloud computing, and security are required for investment banks to deliver rich digital experiences and remain competitive.
The document summarizes the services offered by Pharmaceutical Insights, LLC, a strategic performance consultancy. It provides analytics, expertise in predictive behavior, and strategic planning services to pharmaceutical companies. It helps clients identify the right strategic questions to ask, incorporates important market parameters into business modeling, and leverages deep industry knowledge to produce forecasts. The consultancy aims to provide actionable insights, challenge clients' thinking, and help them achieve strong competitive advantages and business success.
Recently, Oracle and Accenture polled some 200 CFOs and senior finance executives about
their strategies for improving the management reporting process. More than a third—41%— said selecting the right analytics tools and technologies was their top concern.
- Customer data management is important to understand customers better and improve service, but traditional data management tools create siloed and inconsistent data.
- NexJ Customer Data Management provides an "Enterprise Customer View" that integrates customer data from multiple sources to create a holistic understanding of each customer.
- This unified view of customer data can be used across an organization to drive digital transformation initiatives, enhance customer insights, and meet compliance requirements.
Driving Value Through Data Analytics: The Path from Raw Data to Informational...Cognizant
As organizations gather and process colossal amounts of data, analytics is essential for operational and strategic excellence. We offer a guide to the phases of the data analytics journey, from descriptive to diagnostic to predictive to prescriptive, covering intentions, tools and people considerations.
This document discusses how business intelligence (BI) can help hospitality companies by integrating information. BI involves analyzing data that companies already collect on customers, operations, and competitors to provide insights. It allows companies to quickly address problems, take advantage of opportunities, and improve operations. While BI can boost profits and efficiency, hospitality companies face challenges in implementing it like dispersed data sources and a need to integrate systems. The document describes how one hotel franchise works with Cognizant to develop data cleansing processes to ensure accurate information for effective BI.
This document discusses analytics-based enterprise performance management. It begins with an introduction of Gary Cokins, who founded Analytics-Based Performance Management LLC. The document then provides an agenda for the discussion, covering topics like the need for enterprise performance management, business intelligence and analytics, fact-based managerial accounting, and accelerating adoption of these tools. It argues that integrating multiple methodologies with business analytics can help achieve strategy and make better decisions.
Business intelligence and IT governance are increasingly important for modern businesses. Business intelligence involves collecting and analyzing large amounts of data to help businesses make better decisions. It has evolved from early attempts by businesses to understand their own information and markets. Modern business intelligence utilizes tools like dashboards, scorecards, and data warehouses. IT governance ensures that business and IT strategies are aligned and that information technology supports business objectives. Business intelligence 2.0 takes analysis a step further by enabling more interactive and flexible analysis of both structured and unstructured data.
Broken links: Why analytics investments have yet to pay off, sponsored by ZS, draws on the survey findings, interviews with senior corporate executives and desk research to explore the current state of sales and marketing analytics.
Organizations use a combination of tools and policies to track procurement costs, but spend analytics software provides a more strategic approach. Spend analytics software aggregates data from various systems to analyze purchasing patterns and identify cost savings opportunities. It also enhances traditional cost tracking by adding important operational and supplier context. Vendors are expanding performance management solutions to include spend analytics applications that support both cost management and strategic decision making for procurement.
As it incorporates a gamut of functions from business activity monitoring to performance management and business planning, business intelligence attracts a growing number of companies who earlier specialized in individual functions
This document discusses how business leaders must be able to access and analyze internal business data quickly to gain insights that support better decision-making. It states that data alone does not create impacts; data must be analyzed and visualized to derive insights. When organizations align their resources and processes around these fact-based insights, they can respond to the market effectively and profitably. The document introduces the "House in Order" process which helps companies obtain rapid, actionable insights from their internal data to improve performance.
MindStream Analytics is a leading consulting firm focused on helping clients improve business understanding and decision making. With years of experience in the analytics and Business Performance Management area, MindStream offers services ranging from software selection and implementation to best practices for financial planning.
The document discusses key performance indicators (KPIs) for public sector organizations. It defines KPIs as measures that monitor how well policy objectives are being met and that are aligned to an organization's strategy. The document outlines best practices for setting KPIs, including establishing a clear strategic vision, implementing supporting data infrastructure, and cascading strategic measures throughout the organization. It also discusses effective communication of KPIs and using visual tools and a performance culture to gain staff buy-in. Analytics can help identify the most impactful KPIs and factors outside an organization's control. Overall, the document provides guidance to public sector managers on developing meaningful KPIs to improve performance and accountability.
In an era of Big Data organizations are looking to use analytic insight to improve
their business. Rapidly changing competitive landscapes and the need to evaluate and
adopt new business models is pushing organizations to become more adaptive. How
can these imperatives be reflected in the way we build systems? In response to these imperatives, organizations are increasingly buying or building a new class of systems - Decision Management Systems. Decision Management Systems leverage the growing power of predictive analytics to create agile, analytic and adaptive processes and systems.
Leading enterprise-scale big data business outcomesGuy Pearce
A talk specially prepared for McMaster University. There is more benefit to thinking about big data as a paradigm rather than as a technology, as it helps shape these projects in the context of resolving some of the enterprise's greatest challenges, including its competitive positioning. This approach integrates the operating model, the business model and the strategy in the solution, which improves the ability of the project to actually deliver its intended value. I support this position with a case study that created audited financial value for a major global bank.
How to Leverage the Power of Data Analytics in Sales?Shaily Shah
Data is the DNA behind the robust analytics and insights supporting modern organizations to recognize new products, determine how to serve customers better, and enhance operational efficiencies.
This document discusses Enterprise Performance Management (EPM) analytics and was presented by Gary Cokins. It provides an agenda that covers what EPM is, what business analytics is, eight pressures that have increased interest in EPM, and how EPM can act as a value multiplier through integration. Some of the pressures discussed include executives' frustration with strategy failure, increased accountability, and the need for more rapid decision making. The presentation argues that EPM and business analytics can help address these pressures by providing insights, solving problems, and enabling better and quicker decisions.
Children participated in the East Longmeadow Library's summer reading program called "Dream Big, Read!" where they earned tickets for reading books and visiting the library to do arts and crafts and play games. The program encouraged children from birth to 8th grade to read lots over the summer break through fun activities and incentives to help prevent the "summer slide" in reading skills. Participants thanked the library for a wonderful summer reading program.
The document discusses how organizations during the Dot Com era either succeeded or failed based on their ability to turn data into actionable business intelligence and performance management. It emphasizes that data alone is worthless, but data transformed into knowledge through performance management reports and metrics can guide strategic decision making. The document provides tips for organizations to harness historical performance data and metrics to create predictive exception-based reports, balance short and long-term goals, align individual and company objectives, and leverage technology to empower employees with relevant data and knowledge.
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
Investment banks recognize the need to digitize in order to generate new revenue sources but face challenges in defining digital strategies. The document discusses four key challenges investment banks face in becoming digital businesses: 1) Enabling seamless collaboration through tools like Salesforce Chatter. 2) Providing faster data and insights to clients through real-time risk analysis. 3) Creating a unified view of collateral management across business units. 4) Strengthening security measures like active defense as digital transformation increases risks. The document argues investment in areas like analytics, mobility, cloud computing, and security are required for investment banks to deliver rich digital experiences and remain competitive.
The document summarizes the services offered by Pharmaceutical Insights, LLC, a strategic performance consultancy. It provides analytics, expertise in predictive behavior, and strategic planning services to pharmaceutical companies. It helps clients identify the right strategic questions to ask, incorporates important market parameters into business modeling, and leverages deep industry knowledge to produce forecasts. The consultancy aims to provide actionable insights, challenge clients' thinking, and help them achieve strong competitive advantages and business success.
Recently, Oracle and Accenture polled some 200 CFOs and senior finance executives about
their strategies for improving the management reporting process. More than a third—41%— said selecting the right analytics tools and technologies was their top concern.
- Customer data management is important to understand customers better and improve service, but traditional data management tools create siloed and inconsistent data.
- NexJ Customer Data Management provides an "Enterprise Customer View" that integrates customer data from multiple sources to create a holistic understanding of each customer.
- This unified view of customer data can be used across an organization to drive digital transformation initiatives, enhance customer insights, and meet compliance requirements.
Driving Value Through Data Analytics: The Path from Raw Data to Informational...Cognizant
As organizations gather and process colossal amounts of data, analytics is essential for operational and strategic excellence. We offer a guide to the phases of the data analytics journey, from descriptive to diagnostic to predictive to prescriptive, covering intentions, tools and people considerations.
This document discusses how business intelligence (BI) can help hospitality companies by integrating information. BI involves analyzing data that companies already collect on customers, operations, and competitors to provide insights. It allows companies to quickly address problems, take advantage of opportunities, and improve operations. While BI can boost profits and efficiency, hospitality companies face challenges in implementing it like dispersed data sources and a need to integrate systems. The document describes how one hotel franchise works with Cognizant to develop data cleansing processes to ensure accurate information for effective BI.
This document discusses analytics-based enterprise performance management. It begins with an introduction of Gary Cokins, who founded Analytics-Based Performance Management LLC. The document then provides an agenda for the discussion, covering topics like the need for enterprise performance management, business intelligence and analytics, fact-based managerial accounting, and accelerating adoption of these tools. It argues that integrating multiple methodologies with business analytics can help achieve strategy and make better decisions.
Business intelligence and IT governance are increasingly important for modern businesses. Business intelligence involves collecting and analyzing large amounts of data to help businesses make better decisions. It has evolved from early attempts by businesses to understand their own information and markets. Modern business intelligence utilizes tools like dashboards, scorecards, and data warehouses. IT governance ensures that business and IT strategies are aligned and that information technology supports business objectives. Business intelligence 2.0 takes analysis a step further by enabling more interactive and flexible analysis of both structured and unstructured data.
Broken links: Why analytics investments have yet to pay off, sponsored by ZS, draws on the survey findings, interviews with senior corporate executives and desk research to explore the current state of sales and marketing analytics.
Organizations use a combination of tools and policies to track procurement costs, but spend analytics software provides a more strategic approach. Spend analytics software aggregates data from various systems to analyze purchasing patterns and identify cost savings opportunities. It also enhances traditional cost tracking by adding important operational and supplier context. Vendors are expanding performance management solutions to include spend analytics applications that support both cost management and strategic decision making for procurement.
As it incorporates a gamut of functions from business activity monitoring to performance management and business planning, business intelligence attracts a growing number of companies who earlier specialized in individual functions
This document discusses how business leaders must be able to access and analyze internal business data quickly to gain insights that support better decision-making. It states that data alone does not create impacts; data must be analyzed and visualized to derive insights. When organizations align their resources and processes around these fact-based insights, they can respond to the market effectively and profitably. The document introduces the "House in Order" process which helps companies obtain rapid, actionable insights from their internal data to improve performance.
MindStream Analytics is a leading consulting firm focused on helping clients improve business understanding and decision making. With years of experience in the analytics and Business Performance Management area, MindStream offers services ranging from software selection and implementation to best practices for financial planning.
The document discusses key performance indicators (KPIs) for public sector organizations. It defines KPIs as measures that monitor how well policy objectives are being met and that are aligned to an organization's strategy. The document outlines best practices for setting KPIs, including establishing a clear strategic vision, implementing supporting data infrastructure, and cascading strategic measures throughout the organization. It also discusses effective communication of KPIs and using visual tools and a performance culture to gain staff buy-in. Analytics can help identify the most impactful KPIs and factors outside an organization's control. Overall, the document provides guidance to public sector managers on developing meaningful KPIs to improve performance and accountability.
In an era of Big Data organizations are looking to use analytic insight to improve
their business. Rapidly changing competitive landscapes and the need to evaluate and
adopt new business models is pushing organizations to become more adaptive. How
can these imperatives be reflected in the way we build systems? In response to these imperatives, organizations are increasingly buying or building a new class of systems - Decision Management Systems. Decision Management Systems leverage the growing power of predictive analytics to create agile, analytic and adaptive processes and systems.
Leading enterprise-scale big data business outcomesGuy Pearce
A talk specially prepared for McMaster University. There is more benefit to thinking about big data as a paradigm rather than as a technology, as it helps shape these projects in the context of resolving some of the enterprise's greatest challenges, including its competitive positioning. This approach integrates the operating model, the business model and the strategy in the solution, which improves the ability of the project to actually deliver its intended value. I support this position with a case study that created audited financial value for a major global bank.
How to Leverage the Power of Data Analytics in Sales?Shaily Shah
Data is the DNA behind the robust analytics and insights supporting modern organizations to recognize new products, determine how to serve customers better, and enhance operational efficiencies.
This document discusses Enterprise Performance Management (EPM) analytics and was presented by Gary Cokins. It provides an agenda that covers what EPM is, what business analytics is, eight pressures that have increased interest in EPM, and how EPM can act as a value multiplier through integration. Some of the pressures discussed include executives' frustration with strategy failure, increased accountability, and the need for more rapid decision making. The presentation argues that EPM and business analytics can help address these pressures by providing insights, solving problems, and enabling better and quicker decisions.
Children participated in the East Longmeadow Library's summer reading program called "Dream Big, Read!" where they earned tickets for reading books and visiting the library to do arts and crafts and play games. The program encouraged children from birth to 8th grade to read lots over the summer break through fun activities and incentives to help prevent the "summer slide" in reading skills. Participants thanked the library for a wonderful summer reading program.
Electricity - physical world - unit plan for 5-7 year oldsRuth Lemon
This document outlines a unit plan for teaching electricity concepts to students in levels 1 and 2. Over the course of 8-9 weeks, students will learn about what electricity is, how it produces light, heat, sound and movement, and that everyday appliances use and are connected to electricity from the mains. Students will explore open and closed circuits, and learn that some materials conduct electricity while others do not. They will learn how to use electricity safely and how to apply their new knowledge to solve problems, such as creating motorized toys. A variety of activities using online simulations, experiments, and discussions are provided to help students achieve the learning goals.
El documento presenta los resultados de una evaluación del desarrollo de un niño. Se evalúan diversas áreas como la comunicación, habilidades motrices finas y gruesas, lenguaje, habilidades socio-emocionales y cognitivas. Los resultados muestran que el niño ha alcanzado hitos importantes como caminar solo, seguir instrucciones básicas y jugar de manera simbólica.
Este documento describe métodos para determinar la edad gestacional en recién nacidos. Explica que el método más preciso es la ecografía prenatal, pero que también existen métodos clínicos posteriores al nacimiento como los desarrollados por Ballard y Capurro que evalúan características físicas y neurológicas asignando puntajes para calcular la edad gestacional. Finalmente, concluye que estos métodos clínicos son confiables, poco errores, inocuos, económicos y no requieren de aparatología
Aca f16 actividades - plan de apoyo apa grado 9venos 2015jolehidy6
This document provides instructions for a student assignment in English for the second period. It states that the assignment covers competencies and topics from the second period. It lists the name and subject of the teacher and the year and grade. It provides details on submission such as the due dates of August 10th to 14th and dates for presentations. It also lists activities for students such as completing the assignment step by step and presenting their notebook.
Critical Mass bike demonstrations in Budapest started as a way to advocate for more bike-friendly streets and policies. Organizers found that having a large, peaceful group of cyclists could draw attention to their cause. They reached out to politicians, the media, and various communities to build popularity for their movement. Over time, the goal expanded from advocacy to actual integration of bicycles into the city's transportation system. This resulted in new bike lanes and infrastructure being built, showing that by growing their numbers and coalition, Critical Mass achieved real changes for cycling in Budapest.
This document provides information on forming verbs in the simple present tense in English. It discusses three main rules:
1. For verbs ending in y before a consonant, change the y to i and add -es (e.g. study - studies).
2. For verbs ending in certain letters (-ss, -sh, -ch, -x, -o), add -es to the base form (e.g. kiss - kisses).
3. For other verbs, just add -s to the base form (e.g. play - plays).
It then provides examples of verbs conjugated in the affirmative, negative, and interrogative forms in the simple present tense.
Connie talbot i have a dream+ani (nx power-lite)VarganeAnny
This short document contains an email address but no other text or context. It does not provide enough information to generate a multi-sentence summary.
Evaluacón ILE Introduction to the course - Preliminarsmirquint2002
This document discusses evaluation and assessment in language teaching. It defines evaluation as making value judgments about education in a systematic way using clear criteria. Assessment refers to collecting data to understand performance and determine if teaching goals were achieved. There are different types of evaluation (formative, summative, congruent) and assessment (formal, informal, self/peer) that can be used for various purposes by teachers, administrators, researchers and policymakers. The document also covers test design principles, formats, and analysis.
Tim works as a customer service representative for a bank in Sacramento, California. He gets up at 6am each workday and drives to work, arriving at 8am. During the day, he helps bank customers over the phone by answering questions about their accounts. To verify identities, he asks callers for their birthdate, last 4 digits of their social security number, and address. If incorrect information is provided, he asks them to call back with the right details. Tim is said to be polite and friendly to all customers.
Gabriela and Irati's aunt has two jobs, working as a teacher in Zuaza and as a renovator in Barcelona. She wears a uniform and works different shifts on different days.
Ohiane's aunt is an ambulance driver who helps people and wears a uniform, but is not a police officer.
Puri is the teacher of the class project and works at their school, wearing a white gown and working from half past nine to five o' clock.
Markel and Joseba discuss that a firefighter in their town works at the fire station, wears special clothes, works every day helping people and animals, drives a special fire truck, and fights flames.
Natalia
This document discusses cancer survivorship and living well with cancer. It defines a cancer survivor as anyone who has been diagnosed with cancer and their family/caregivers. The number of cancer survivors is increasing due to earlier detection, aging populations, and more effective treatments. After treatment ends, survivors can feel abandoned and fear recurrence. New guidelines focus on care plans, screening, coordination, education, and symptom management to help survivors live well. Barriers include a focus on curing disease rather than healing and clear communication. A partnership model where patients set goals and professionals offer options can help maximize wellness.
This document discusses how business intelligence can benefit financial institutions. It defines business intelligence and describes how it involves collecting and analyzing data to improve business decisions. It then provides examples of how business intelligence can help various parts of the financial industry, including retail banking, insurance, and investment banking, by identifying profitable customers, optimizing marketing, reducing costs and risks, and improving customer service.
Data discovery, channeling data, data visualization, and problem-solving; our experts are ready to help any businesses who need assistance on big data.
The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...Balaji Venkat Chellam Iyer
Published in 2013, this White Paper discusses how the finance function would evolve with the combined forces of Big Data and Analytics and the levers that could help catalyze the change and has drawn upon the Global Trend Study conducted by Tata Consultancy Services (TCS) on how companies were investing in Big Data and deriving returns from it.
Data analysts and data scientists are becoming commonplace in most businesses nowadays and employing them on a full-time basis creates a severe financial burden to the management; this is where HLB HAMT and their data analysis professionals step in.
Most of the businesses are sitting on various types of data, which they are assessing during their business operations. But most of the time, the available data is not effectively organized or consolidated to analyze and interpret.
Enterprise Information Management Strategy - a proven approachSam Thomsett
Access a proven approach to Enterprise Information Management Strategy - providing a framework for Digital Transformation - by a leader in Information Management Consulting - Entity Group
This document provides an overview of EOH Enterprise Applications and SAP Services. It discusses the need for business transformation in order to adapt to changing business landscapes. Key trends driving this change include big data, enterprise mobility, cloud computing, and the internet of everything. The document outlines EOH's approach to helping clients bridge the strategy to execution gap through a three phase methodology of plan, build, and run. This includes gaining insights, improving efficiencies, and ensuring flexibility. The ultimate goal is to turn clients' strategies into meaningful actions through business transformation.
As the world moves closer to an age of automation, data is having a significant influence on our professional lives. Numerous businesses are handling with the data, algorithms and Artificial Intelligence (AI) to boost their operational efficiency.
Business Intelligence is an umbrella term that combines architectures, applications, and databases. It enables the real-time, interactive access, analysis, and manipulation of information, which provides the business community with easy access to business data. By giving this valuable insight, BI helps decision-makers make more informed decisions and supplies end-users with critical business information on their customers or partners, including information on behaviours and trends.”
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
Business analytics uses data to help organizations make better decisions and craft business strategies. As companies generate vast amounts of data, there is a need for professionals with data analysis skills. Leading companies are using analytics not just to improve operations but launch new business models. While some industries and digital natives have captured opportunities, much potential value from analytics remains untapped, especially in manufacturing, healthcare, and the public sector. For companies to succeed in an increasingly data-driven world, analytics must be incorporated strategically and supported by the right talent, processes, and infrastructure.
This document discusses key factors for successful business intelligence (BI) solutions. It outlines that smart companies use BI to gain insights and competitive advantages. BI solutions transform raw data into valuable information and knowledge through extraction, integration, analysis and feedback loops. The document then discusses various aspects of establishing successful BI solutions, including having executive sponsorship, aligning business and IT, prioritizing projects, and building an organizational culture that values data-driven decision making.
Acquire Grow & Retain customers - The business imperative for Big DataIBM Software India
The emergence of Big Data and Analytics has changed the way marketing decisions are made. Marketing has moved away from traditional ‘generalisation’ practices such as customer segmentation, geographical targeting etc. and is focussing more on the individual – the ‘Chief Executive Customer’.
The document discusses the rise of prescriptive analytics and its importance. Prescriptive analytics provides recommendations on what actions companies should take based on insights generated from descriptive and predictive analytics. It uses optimization and simulation algorithms to find solutions and recommend actions. There is high demand for prescriptive analytics as it allows companies to take quick actions based on data instead of just analyzing past data. The document then provides examples of industries using prescriptive analytics like oil and gas to optimize fracking and healthcare to improve facilities and reduce costs.
Business intelligence (BI) provides employees with information to make better business decisions. By giving employees access to strategic information from across the organization through a single access point, they can improve the quality of their decisions. This leads to lower costs through improved operational efficiency, reduced inventory costs, and leveraging existing IT investments. Revenue can also be increased by negotiating better contracts and identifying the most profitable customers and products. Overall, BI empowers employees and creates an agile organization that can more effectively meet business objectives.
Business analytics is the process of using statistical methods and technologies to analyze historical business data in order to gain insights and improve strategic decision making. It helps businesses increase profits, market share, and shareholder returns. Business analytics focuses on developing new understandings of past business performance through continuous data exploration and analysis. The results of business analytics can be used directly for decision making or to drive automated decisions.
The best preforming companies know they have to translate the abstract into concrete every day principles relying on their own uniquely developed talent and competencies. These organisations design and build their own specific skills to set them apart from competitors. They then bring those capabilities to scale.
1. 1 | P a g e 1 0 0 0 C r e e k s i d e P l a z a , G a h a n n a , O H , U S A ( 6 1 4 ) 4 9 3 - 6 0 7 2
In today's economic climate, many businesses find themselves looking for new ways to improve their
current business processes, keep ahead of the competition, and grow revenue. The technology that
Ideal Marketing Solutions, Inc. provides is poised to provide powerful insights into the metrics behind
business performance, helping companies become more efficient and competitive, by making critical
performance data and information become accessible to decision-makers throughout the corporation
without the large investment in technology and additional headcount on businesses.
Fortunately, Ideal Marketing Solutions recognized the need and associated value of creating an agile,
end-to-end business intelligence solution and making it an integral component of process design. We
introduced a holistic approach for process-driven business intelligence in a web-based platform –
producing a no-footprint solution to our clients as software installation/deployment will not be
necessary.
In Columbus’ Business First Journal, a Columbus, OH business publication, data analytics expert Mr. Abiy
Selassie, founder of Ideal Marketing Solutions was quoted, “large companies have long had the
advantage of being able to afford the use of large expansive Business Intelligence software to analyze
and deliver to executives assisting in timely business decisions. Equipped with a sizeable marketing staff,
data analysts create models to identify risks and opportunities, find potential customers and
communicate with them in a targeted manner. Now, the ability to offer that same expertise and
advanced technology is available to mid-sized businesses as well as all companies operating in new and
emerging economies around the world for fraction of the cost and time.”
Mr. Selassie asks Senior Executives who still rely on intuitive-based marketing, utilizing rigid software as
well as inefficient reporting systems to consider engaging the power of Business Intelligence; including
real-time data access, reporting, and analytics in order to improve business performance. “Executives
who are implementing analytics are creating rigorous structure in their companies in order to create
“information-based strategies” and make “evidence-based” decisions. These executives understand that
a lack of investment in analytics can leave their company without the critical fact-based data they must
have in order to stay competitive and grow their business.”
To utilize Business Intelligence means to stay on the leading edge. Mr. Lee Levenson, Director, Sales &
Marketing at IMS, says: “Today, when software development is often considered expensive, time
consuming and very rigid, we are able to offer a much faster, cost-effective, and flexible solution that
involves absolutely cutting-edge technology. Our solutions are agile and adaptable to business
requirements on-the-fly. They’re web-based, therefore, there’s absolutely no foot-print for the client, and
are customizable to a company’s individual needs. The flexible BI that we provide also allows clients to
create and manipulate data in order to review their performance metrics from multiple perspectives, and
generate “what-if” scenarios to see how different strategies will impact their business. And, since our
solutions are data-driven versus schema driven, we can not only handle complex data structures, but
create and deliver solutions to our clients within days or weeks instead of months or years.”
Enterprise Business Intelligence: The Ideal Solution
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To become and stay competitive in today’s business environment, businesses must make effective use
of increasingly sophisticated Business Intelligence (BI) tools to better understand constantly changing
market trends and customer needs, uncover new business opportunities, identify risks, and continually
optimize operational efficiency. And since we understand that volume, complexity of data and
transactions grow exponentially, we made sure that our business solutions are both intuitive and
scalable.
In essence, we satisfy our clients’ desire to integrate actionable intelligence in a pervasive manner into
both the strategic and the operational processes across the management hierarchy. Mr. Selassie says,
“and whether this means notifying senior management of emerging revenue opportunities, providing
real-time insight into corporate performance indicators, or hourly realignment of field repair team
schedules to best address customer service outages, the ability to accumulate, transform, and analyze
information to provide rapid, trustworthy analyses to the right people at the right time will add
significant benefits to growth and competitiveness”.
Delivering Actionable Intelligence
When massive amounts of unfiltered data are channeled across the organization, users can easily
become overwhelmed and end up into “analysis paralysis” – resulting in the delay of decision-making.
Ideal Marketing Solutions’ BI systems can help alleviate this information overload by throttling back to
filter out the specific information necessary to optimally drive the decision process and allow specific
actions to be taken.
So by delivering trustworthy actionable intelligence to the right people at the right time, short-circuiting
analysis paralysis, we help managers make rational and confident decisions.
At one end of the continuum, we will help review overall company performance as we find alternatives
to adjust corporate strategy for long-term value generation. At the other end, operational activities are
improved with specific pieces of intelligence that can adjust and optimize activities in real time. Through
our BI solution, actionable intelligence is set to inform both strategic and operational processes, and its
pervasive user-role based delivery to staff members up and down the “org chart” can facilitate a
transition from reacting to what has happened in the past to better predict the optimal choices for the
future.
Strategies that Drive Organizational Optimization
Ideal Marketing Solutions’ interactive reporting within a longitudinal context allows clients to see what
happens real-time as well as review business trends over time. Our data organization along different
quantitative and qualitative hierarchical dimensions such as location, organization, customer profile,
product categories, among many others, lets clients slice and dice the data to look for explicit business
opportunities or process improvements. Interactive environments such as dashboards and mash-ups
facilitate informed strategic decisions.
Upon making adjustments to the strategic direction, the incorporation of real-time delivery of key
performance metrics allows our clients and their senior stakeholders to review the impact and results of
those strategic decisions within a rapid turnaround time, thereby increasing agility, reducing risk, and
allowing the companies to quickly respond to emerging business opportunities. More pointedly, gaining
a deeper insight into how the organization works (or doesn’t work!) can inform your strategists to make
significant changes to the way the company does business.
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Integrating Analytics and Operations
Actually, the results of Ideal Marketing Solutions’ predictive analytics formulated as actionable
intelligence can be integrated directly into operational processes even without the awareness of
business consumers. For example, merging the results of our predictive analytics with customer profiles
empowers decision-makers at all levels of the organization to recognize and react rapidly to emerging
opportunities, such as real-time adjustments to call-center scripts, or rerouting of product deliveries
based on real-time warehouse and stock room inventory data, point-of-sales data, or even traffic or
weather data.
Industry Examples
How can our BI solutions help your business?
With real-time actionable information at your fingertips, the possibilities are endless.
We’ll discuss some benefits from BI reporting and analytics associated with the specific industries, such
as these “vertical” examples:
Health Care – Monitoring business process performance permeates all aspects of quality of
care. For example, understanding why some practitioners are more successful at treating certain
conditions can lead to improved quality of care. Analytics can help to discover the factors that
contribute to success of one approach over others, and see whether those successes are
dependent on variables within the control of the practitioner or factors outside their control.
Improved diagnostic approaches can reduce the demand for high-cost diagnostic resources such
as imaging machinery, and better treatments can reduce the duration of patient stays, freeing
up beds, improving throughput, and enabling more efficient bed utilization.
Logistics/Supply Chain – Integrated analysis for transportation and logistics management sheds
insight into evaluation of many aspects of an efficient supply chain. For example, business
intelligence is used to analyze usage patterns for particular products based on a series of
geographic, demographic, and psychographic dimensions. Predictability becomes the magic
word – knowing what types of individuals in which types of areas account for purchases of the
range of products over particular time periods can help in more accurately predicting (and
therefore meeting) demand. As a result, the manufacturer can route the right amounts of
products to reduce or eliminate out-of-stocks. At the same time, understanding demand by
region over different time periods leads to more accurate planning of delivery packaging,
methods, and scheduling. One can map the sales of products in relation to distance from the
origination point; if sales are lower in some locations than others, it may indicate a failure in the
supply chain that can be reviewed and potentially remediated in real time.
Retail – The large volume of point of sales data makes it a ripe resource for analysis, and retail
establishments are always looking for ways to optimize their product placement to increase
sales while reducing overhead to increase their margins, especially when market baskets can be
directly tied to individuals via affinity cards. Understanding the relationship between a brick and
mortar store location and the types of people that live within the surrounding area helps the
store managers with their selection of products for store assortment. Strategic product
placement (such as middle shelf or end-cap) can be reserved for those items that drive
profitability, and this can be based on a combination of product sales by customer segment
coupled with maps of customer travel patterns through the store.
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Financial Services/Insurance – In both insurance and banking, identifying risks and managing
exposure are critical to improved profitability. Banks providing a collection of financial services
develop precise models associated with customer activities and profiles that identify additional
risk variables. For example, analyzing large populations of credit card purchases in relation to
mortgage failures may show increased default risk for individuals. In turn, recognizing behaviors
that are indicative of default risk may help the bank anticipate default events and reach out to
those individuals with alternate products that keep them in their homes, reduce the risk of
default, and improve predictability of the loan’s cash flow over long periods of time.
Manufacturing -Plant performance analysis is critical to maintaining predictable and reliable
productivity; tracking production line performance, machinery downtime, production quality,
work in progress, safety incidents, and delivering measurements of operational performance
indicators along the management escalation chain so that adverse events can be addressed
within the proper context within a reasonable timeframe.
Hospitality – Hotel chains assess customer profiles and related travel patterns, and know that
certain customers may be dividing their annual “night allocation” among the competitors. By
analyzing customer travel preferences and preferred locations, the company may present
incentive offers through the loyalty program to capture more of that customer’s night
allocation.
Our solutions range from real-time web-based delivery of key business performance indicators (KPI) to
exploring opportunities for optimizing the way companies are run or improving interactions with
customers and other business partners.
As our clients strive to satisfy the needs of their customers, the BI we provide based on advanced
analytics and statistical modeling will help management identify new trends, understand variables,
predict outcomes and make the right decisions while also supporting internal activities associated with
staff management and productivity, spend analysis, asset management, project management, etc.
Consider these examples:
Spend Analysis – Including the collection, standardization, and categorization of product
purchase and supplier data to reduce costs, improve the predictability of high-value supply
chains, identify fraud, and improve efficiency.
Customer Profiling – This includes customer analytics that encompass the continuous
refinement of individual customer profiles that incorporate demographic, psychographic, and
behavioral data about each individual to support segmented and micromarketing along
numerous relevant taxonomies.
Product Price Modeling – This is used to analyze price points looking for the sweet spot that will
encourage the largest number of customers while maximizing profitability.
Targeted Marketing – Given a set of customer preferences augment a marketing campaign to
target small clusters of customers that share profiles. In fact, laser-style marketing focused
directly at individuals as a byproduct of customer analytics.
Customer Satisfaction – One of the benefits of integrated customer profile is the ability to
provide customer information to frontline representatives. This improves the representative’s
ability to deal with the customer and expedite problem resolutions.
Customer Lifetime Value – How do you determine who your best customers are? Customer
lifetime analytics compute the lifetime value of a customer as a measure of a customer’s
profitability over the lifetime of the relationship, incorporating the costs associated with
managing that relationship as well as the revenues expected from that customer.
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Why We Use Pervasive Analytics?
What you will soon realize by utilizing Ideal Marketing Solutions’ BI tools and techniques within your
organization is that by collecting and organizing numerous (and diverse) data sets, we support both
management and decision making at operational, tactical, and strategic levels. Through data collection,
aggregation, analysis, and presentation, actionable intelligence can be delivered to best serve a wide
range of users. Ideal Marketing Solutions can help organize data warehousing programs to allow users
to extract actionable knowledge from the corporate information asset and rapidly realize business value.
Our clients’ ability to integrate relevant information within the immediate operational context becomes
the differentiating factor. For example, our real-time actionable intelligence can provide specific
alternatives to the sales person talking to a specific customer based on that customer’s interaction
history in ways that best serve the customer while simultaneously optimizing corporate profits.
Maximizing overall benefit to all of the parties involved ultimately improves sales, increases customer
and employee satisfaction, and improves response rate while reducing the cost of goods sold – a true
win-win-win for everyone.
Ideal Marketing Solutions’ wide range analytical capabilities all help suggest answers to a series of
increasingly valuable questions:
What? – Our pre-defined reports will provide answer to operational managers, detailing what has
happened within the organization and various ways of slicing and dicing the results of those queries to
understand basic characteristics of business activity (e.g., counts, sums, frequencies, locations, etc.).Our
BI reporting provides 20/20 hindsight – it tells you what has happened, provide aggregate data about
what has happened, and even direct individuals with specific actions in reaction to what has happened.
Why? – More comprehensive ad hoc querying coupled with review of measurements and metrics within
a time series enables more focused review. Drilling down through reported dimensions lets the our
clients get specific answers to more pointed questions, such as the sources of any reported issues, or
comparing specific performance across relevant dimensions.
What if? – More advanced statistical analysis, data mining models, and forecasting models allow clients
to consider how different actions and decisions might have impacted the results, enabling new ideas for
improving the business.
What next? – By evaluating the different options within forecasting, planning, and predictive models,
senior strategists can weigh the possibilities and make strategic decisions.
How? – By considering approaches to organizational performance optimization, your C-level managers
can adapt business strategies that change the way the organization does business.
Information analysis makes it possible to answer these questions. Improved decision-making processes
depend on supporting business intelligence and analytic capabilities that increase in complexity and
value across a broad spectrum for delivering actionable knowledge.
With our interactive analytical tools, our clients gain more insight into the mechanics of optimization.
Coupled with our statistical analysis, we will help them isolate the root causes of any reported issues as
well as provide forecasting capabilities.
Predictive models that capture past patterns help in projecting “what-if” scenarios that guide tactics and
strategy towards organizational high performance.
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Understanding the Technology Considerations
Delivering the right information to the right people at the right time is the culmination of best practices
in data management and organization. Combined with a technical infrastructure designed to direct
many steady channels of data into a high performance analysis platform, we can deliver trustworthy
results in real time. We concentrate on three areas of technology:
Continuous synchronization of data from multiple sources to provide a coherent and consistent
view;
Cohesive information integration allowing for massive amounts of high quality data to be
harmonized and aligned to enable effective analysis; and a
Comprehensive set of analytics services that reduce or even eliminate the need to be a power
user to derive benefit from actionable intelligence.
Through our pervasive BI and analytics we maintain a high degree of data synchrony to:
Reduce or eliminate data latency;
Maintain coherence of the data being used for analysis across the enterprise;
Provide timely and current information; and
Provide consistent, deterministic results to similar requests.
Analytics Services
Ideal Marketing Solutions’ range of analytics services supports a variety of data consumers across the
organization:
Reporting and Ad Hoc Querying – Standard, static reports derived from user specifications provide a
consistent view of particular aspects of the business, generated in batch and typically delivered on a
scheduled basis through a custom web portal. Our interactive reporting options will allow you to slice
and dice the queried data for additional insight.
Scorecards and Dashboards – Scorecards and dashboards customize an up-to-date presentation of
summarized performance metrics, allowing continuous monitoring throughout the day. Our
pervasive delivery mechanisms can push dashboards to a large variety of channels, ranging from the
web browser-based format to hand held mobile devices (see Fig.1 and Fig.2)
Fig.1. Interactive Dashboards: Actionable information at your finger tips
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Mash-ups – The mash-up takes the dashboard to the next level, allowing the knowledge consumers
themselves the ability to identify their own combination of analytics and reports with external data
streams, news feeds, social networks, and other web 2.0 resources in a visualization framework that
specifically suits their own business needs and objectives. The mash-up framework provides the
“glue” for integrating data streams and business intelligence with interactive business applications.
Cloud Computing – We believe Cloud computing opens up a way of accessing a bigger number of
consumers for companies in emerging markets and small to mid-size businesses anywhere. It is the
cheapest, most effective and fastest way for them to catch up. We provide this technology to satisfy
our customers’ needs for real-time data (including to connected devices), the adoption of service-
oriented architectures and Web2.0 applications, such as mash-ups, open collaboration, social net-
working and mobile commerce. With our Cloud computing services, our customers avoid major
expenditure of owning physical servers and software or the responsibility of data back-ups or
consistent maintenance of security patches.
Alerting – Our cutting-edge analytical and process-driven BI solution enables you to define the
people or processes that should be notified when certain results or thresholds have been met. The
alerts are sent out using SMS text, e-mail, etc. to create real-time operational business intelligence.
Multidimensional Analysis and Online Analytical Processing (OLAP) – Our multidimensional
analytics helps users “slice and dice” relationships between different variables (within their own
hierarchies), such as “What are corporate revenues by time?”, or “What is the availability of products
by supplier by location?” OLAP lets our clients drill up and down along the hierarchies in the different
dimensions to uncover dependent relationships that are hidden within the hierarchies.
Fig.2. Critical business data delivered on Smart Phones
Recommendations for Addressing the Challenges
When considering all these challenges together, we observe a common thread emerging: inefficiencies
introduced due to the piecemeal accumulation of technology components from a multitude of sources
ultimately degrading the organization’s ability to deliver actionable intelligence to the appropriate
individuals at the necessary times, especially as the demand for analytics increases, whether that is due
to increased embedded operational intelligence, larger data volumes, increased numbers of users,
(more likely) a combination of these demands. We also understand that software-based BI has shown to
have huge limitations in adaptability to current business needs which brings with it cost and time
burdens that severely handicap an organizations ability to stay on the cutting edge.
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Ideal Marketing Solutions’ complete BI suite of tools that support the entire organization’s reporting and
analytics needs addresses your challenges:
End-to-end solution – Equipped with IMS’ agile and well-designed BI architecture, our experts
can articulate a strategy for meeting your business needs with a comprehensive solution in
which all the components are designed to fit together.
Flexibility and Extensibility – Ideal Marketing Solutions’ BI can provide greater flexibility,
especially when upgrades and releases can be synchronized in a way that ensures that
functional improvements are not artificially limited by product versioning. In addition, the
customer can introduce functionality as needed by deploying new upgrades or modules in lock-
step with the strategic program plan.
Data quality – Standardizing the data validation, cleansing, and enhancement tools and the way
those tools are used provides a predictable level of consistency of enterprise data from its initial
entry (or creation) to the numerous downstream consumers.
Time to value – Our agile business intelligence solution will reduce systemic complexity by
unifying the complete solution platform and simplifying the acquisition process and, reducing
the resource requirements for implementation, training, and deployment, thereby accelerating
the time to value.
Performance and scalability – Ideal Marketing Solutions’ end-to-end web-based solution is
designed to run on top of any hardware or software platforms. What that means is that there is
no need to install/deploy software. Our cloud computing environment handles burdens, such as
workload management, task and process scheduling, load balancing, parallel I/O channels, or
high availability – so your organization doesn’t have to.
Mr. Abiy Selassie, founder of Ideal Marketing Solution, Inc. has over seventeen years of experience in
financial institutions, consumer marketing and retailing with Fortune 500 companies including: Lands’
End, Victoria Secret's Direct, J.P. Morgan Chase, and Everett Mutual Bank. He specializes in marketing
strategy, channel strategy, brand development, client relationship management, and has built advanced
forecasting as well as cutting-edge Business Intelligence solutions for leading companies.
Mr. Selassie is also a participating consulting expert in the Consumer Goods & Services Council with
Gerson Lehrman Group (GLG), a leading business consultancy group helping companies from a wide
array of industries and investment firms learn more about current business issues by arranging
interactions with members of the GLG Councils, a network of academics, scientists, industry
practitioners and experts, and other professionals worldwide.