Companies that are moving, or considering moving to S/4HANA to make business decisions that will achieve a real-time market, can only accomplish this if their data is accurate and up to date at the time of migration. Information Excellence gives your company the advantage of doing business in real time with centralized and correct data and master data, while other companies are making critical business decisions on outdated content.
strategic changes in infrastructure services Gartner I&OMalik BC
The document summarizes a presentation on strategic changes in outsourced infrastructure services and how to source them effectively. It discusses key trends like price reductions in data center outsourcing and increased focus on digital workplace services. It provides frameworks for analyzing an organization's service portfolio, selecting appropriate sourcing strategies, and improving vendor management to coordinate multiple providers. The presentation aims to help infrastructure leaders develop plans to reduce costs and drive digital productivity through outsourcing.
Sap increase your return on information by focusing on data governance - ma...Bertille Laudoux
This document discusses information governance and data quality. It begins by defining information governance as a discipline for overseeing enterprise information to improve business value. It then discusses why data quality is important, noting that poor data quality can lead to lower profits, poor customer relations, and low productivity. The document emphasizes that information governance is key to managing data quality and achieving business goals. It also provides an overview of SAP's solutions for information governance and data quality.
Slides: The Business Value of Data ModelingDATAVERSITY
With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves on the outside looking in, relegated to documentation "after the fact" rather than active participation where the true value is added. In order to participate fully, modelers must not only adapt to an Agile work style, but must also be able to communicate the business value of model driven development.
This session is based on a real case study in which data modeling was introduced part-way through a significant software development project that was quickly losing momentum due to high defect levels. Ron Huizenga will show the contrast in metrics and cost when utilizing skilled data modelers versus a development-only approach, with topics including:
Modeler participation in multiple Agile teams
Defect categories and impact
Measurement and analysis techniques
Remediation strategy
Breakthrough quality improvements
This "must see" session is not only for data modelers and architects, but also the decision makers for these initiatives, with information that is vital to modelers, IT executives and business sponsors. So bring your boss to the session!
.
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
The New Enterprise Blueprint featuring the Gartner Magic QuadrantLindaWatson19
Read how Solix Big Data Suite manages the entire data lifecycle without sacrificing governance, compliance, or performance. This newsletter can help you start the enterprise Hadoop journey without having to choose between operational efficiency and BI.
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
This document provides a summary of 19 vendor briefings from the 2016 Strata Conference in NYC. It includes 3-sentence summaries of presentations by Alation, AllSight, Alpine Data, Basho Technologies, Cambridge Semantics, Continuum Analytics, Dataiku, Dell EMC, GigaSpaces, Logtrust, MapR Technologies, Rocana, and SAP. Each summary highlights the vendor's solution, how it addresses key challenges identified in DEJ research, and a relevant quote from the presentation.
Data Quality Tools Market PPT 2021-26 | Enhancing Huge Growth and Latest Tren...IMARC Group
According to the latest report by IMARC Group,the global data quality tools market exhibited strong growth during 2015-2020.
Data quality tools are used for enhancing the quality of the data through various standardized processes for analyzing datasets and converting them into meaningful information by identifying, understanding and resolving the problems.
strategic changes in infrastructure services Gartner I&OMalik BC
The document summarizes a presentation on strategic changes in outsourced infrastructure services and how to source them effectively. It discusses key trends like price reductions in data center outsourcing and increased focus on digital workplace services. It provides frameworks for analyzing an organization's service portfolio, selecting appropriate sourcing strategies, and improving vendor management to coordinate multiple providers. The presentation aims to help infrastructure leaders develop plans to reduce costs and drive digital productivity through outsourcing.
Sap increase your return on information by focusing on data governance - ma...Bertille Laudoux
This document discusses information governance and data quality. It begins by defining information governance as a discipline for overseeing enterprise information to improve business value. It then discusses why data quality is important, noting that poor data quality can lead to lower profits, poor customer relations, and low productivity. The document emphasizes that information governance is key to managing data quality and achieving business goals. It also provides an overview of SAP's solutions for information governance and data quality.
Slides: The Business Value of Data ModelingDATAVERSITY
With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves on the outside looking in, relegated to documentation "after the fact" rather than active participation where the true value is added. In order to participate fully, modelers must not only adapt to an Agile work style, but must also be able to communicate the business value of model driven development.
This session is based on a real case study in which data modeling was introduced part-way through a significant software development project that was quickly losing momentum due to high defect levels. Ron Huizenga will show the contrast in metrics and cost when utilizing skilled data modelers versus a development-only approach, with topics including:
Modeler participation in multiple Agile teams
Defect categories and impact
Measurement and analysis techniques
Remediation strategy
Breakthrough quality improvements
This "must see" session is not only for data modelers and architects, but also the decision makers for these initiatives, with information that is vital to modelers, IT executives and business sponsors. So bring your boss to the session!
.
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
The New Enterprise Blueprint featuring the Gartner Magic QuadrantLindaWatson19
Read how Solix Big Data Suite manages the entire data lifecycle without sacrificing governance, compliance, or performance. This newsletter can help you start the enterprise Hadoop journey without having to choose between operational efficiency and BI.
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
This document provides a summary of 19 vendor briefings from the 2016 Strata Conference in NYC. It includes 3-sentence summaries of presentations by Alation, AllSight, Alpine Data, Basho Technologies, Cambridge Semantics, Continuum Analytics, Dataiku, Dell EMC, GigaSpaces, Logtrust, MapR Technologies, Rocana, and SAP. Each summary highlights the vendor's solution, how it addresses key challenges identified in DEJ research, and a relevant quote from the presentation.
Data Quality Tools Market PPT 2021-26 | Enhancing Huge Growth and Latest Tren...IMARC Group
According to the latest report by IMARC Group,the global data quality tools market exhibited strong growth during 2015-2020.
Data quality tools are used for enhancing the quality of the data through various standardized processes for analyzing datasets and converting them into meaningful information by identifying, understanding and resolving the problems.
Research study based on insights from more than 900 organizations. Includes analysis of 14 key areas for making IT Operations effective in Digital Economy
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
The document discusses various vendors that provide solutions to gain business insights from IT and digital performance monitoring data. It provides brief descriptions of each vendor's offerings, highlighting their capabilities for leveraging technical performance metrics and analytics to provide visibility into business metrics like revenue, customer experience, and operational efficiency. The vendors represent areas such as application performance monitoring, IT service management, digital experience monitoring, and security information management.
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
This document discusses foundational strategies for getting data to the cloud in a trusted manner. It emphasizes that trusted data requires visibility into all data, real-time data sharing across on-premises and cloud environments, and removing data silos. A strong data integration foundation enables centralized analytics, data discovery, data democratization with governance, and next-gen projects like AI/ML. Successful data integration requires understanding architectures, extracting the right legacy data, and scaling delivery as data volumes increase across cloud environments.
Top 4 Priorities in Building Insurance Data Governance Programs That WorkPrecisely
The document discusses building successful data governance programs that take a business-first approach. It recommends linking data governance to business goals, prioritizing critical data that drives key business metrics and outcomes, building engagement across operational, tactical, and strategic levels, and clearing a path for success by removing friction for stakeholders. Taking this approach can accelerate program roll-out by 18-40%, increase reinvestment likelihood by over 75%, and generate 2-7x greater ROI.
Optimize Business Intelligence Efforts With Embedded, Application-Driven Anal...SAP Analytics
Want to discover, procure, and provision business intelligence data more effectively? Forrester Consulting has a suggestion: embedded, application-driven analytics.
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Improve Your Data Quality & Eliminate DuplicatesData 8
Data8 provides data quality and duplicate detection solutions including Data8 DuplicareTM. A live demo will showcase how Data8 DuplicareTM helps improve data quality and eliminate duplicates in Microsoft Dynamics 365. The presentation will introduce the Data8 team, solutions, global clients, and processing volumes. It will also cover a demonstration of Data8 DuplicareTM capabilities for duplicate detection, merging records, and pricing models.
Data Integrity: The Baseline for InnovationPrecisely
This document discusses the importance of data integrity and governance. It begins by noting that data is fueling decision making and digital transformation. It then discusses how data integrity journeys are unique but driven by business needs. Ensuring data integrity provides many benefits like improved reporting, analytics and operational excellence. Effective data governance connects business value to critical data assets from an operational, tactical and strategic perspective. A key finding is that improving data quality is the leading benefit of data governance programs. The document argues that data governance and quality are symbiotic and help build trust in data, measure business value, and foster insights. It concludes by outlining the key steps in a journey to data integrity through modernization, governance, analytics and enrichment.
Users and customers don't just want products and services anymore - they also want the data and analytics that are under the hood! The good news is that delivering value with data is more achievable than ever before thanks to greater access to diverse data sources and the ability to process, blend, and refine data at unprecedented scale.
The document discusses a survey of 300 enterprise organizations about data ownership and big data initiatives. It finds that marketing and sales are most involved in purchase decisions, but sales, business development, and insights/analytics have the most influence. Most functions see their involvement peaking late in the purchase process. Organizations need strategies to align functional areas and determine influence. Data initiatives are being driven by needs for better analytics, marketing intelligence, and predictive capabilities rather than just data quality issues.
Engaging Your CFO in Business Analytics | Palestrante: Celso Chapinottesucesuminas
The document discusses the changing role of the CFO and importance of business analytics. It finds that CFO influence over IT investments is increasing as they seek to optimize performance and costs. Most CFOs believe IT should report to them. Business intelligence, analytics, and performance management are seen as top technology priorities and ways to address needs like measuring profitability and monitoring performance. The presentation recommends understanding the evolving CFO focus, enabling the CFO through technology, and improving the CFO-CIO relationship through communication and viewing projects as business rather than IT projects.
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
The document discusses how implementing a three step data governance plan including discover and cleanse data, organize and empower data stewards, and automate and enable trusted data can help businesses deliver trusted data at speed. It provides examples of how data governance addresses business drivers like improving productivity, managing risks, and enabling analytics. The document also presents use cases for data governance and a demo of how it works in action for a sports company.
HR Industry Spotlight: Oil & Gas. Proactively prepare for change and build a ...Nakisa
In an industry where competition for talent is high and attracting and retaining skilled workers is fundamental to business success, using an integrated organization and talent management solution is key. With the right processes and technology, you can reduce the risk and uncertainty of making critical enterprise and talent decisions by having accurate, real-time information at your finger-tips. Leveraging the simple user-interface and robust analytics, turn data into intelligence and gain confidence in the org and talent decisions you make for your enterprise.
These slides—based on the webinar featuring John L Myers, managing research director for data and analytics at leading IT analyst firm Enterprise Management Associates (EMA), and Neil Barton, chief technology officer at WhereScape—highlight how the world of streaming data pipelines and automation practices for analytical environments intersect to provide value to both business stakeholders and corporate technologists.
View these slides to learn about:
- Drivers behind the growth of streaming usage scenarios
- Challenges that streaming data presents
- Value of automation techniques and technologies
- Benefits of applying automation to streaming data pipelines
- How WhereScape® automation with Streaming can fast-track streaming data use in your data landscape
Sarah deLiefde, Practice Leader in Gartner's Supply Chain Research Group, held a webinar on how corporate changes will impact the Quality Role by 2020. Specifically, there are 8 trends shaping corporate functions:
Robert Winter - Enterprise Wide Information Logistics - Data Quality Summit 2008DataValueTalk
The document discusses the concept of information logistics (IL), which takes a managerial view of cross-unit data flows and synergies. It notes that while data warehousing and business intelligence focus on local utilization, IL focuses on exploiting synergies across units. IL aims to supply the right information with appropriate quality to cover all relevant demand. The document outlines challenges in IL operations management after 20 years of research and discusses the importance of quality management for IL.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
This document discusses the need for a customer 360 solution to provide a complete view of customer data across an organization. It describes how a customer 360 solution can integrate data from various sources to create a single customer profile with contact information, preferences, relationships and interactions. It provides an overview of the key components of a customer 360 reference architecture including data ingestion, governance, delivery and analytics capabilities. Finally, it demonstrates Informatica's customer 360 solution capabilities such as predefined customer data models, workflows, enrichment and integration with other master data domains.
Digital Transformation: Moving Beyond Enterprise Content Management to Conten...Zia Consulting
Recent technology acquisitions, enhanced user needs, new security risks, and varying governance requirements all contribute to the changing landscape of the enterprise content management (ECM) industry and the move toward complete content solutions. Most major corporations recognize that ECM tools can bring about substantial improvements in process efficiency, error reduction, and cost savings, but can be difficult to achieve with legacy systems and outdated methods.
As the complexity of content continues to grow, you need a modern content solution that can respond quickly. However, in this rapidly changing space, it can be hard to understand the available solutions and what to consider in the buying process. Join Zia Consulting, Ephesoft, and ASG Technologies for a discussion on transforming how your organization interacts with your information assets, covering topics such as:
Building business processes that work
Automating information governance
Integrating your content management system with other tools
How to drive actionable data intelligence
Cloud-first/hybrid approach
During this presentation, you will learn how our customers have made significant technology changes and advancements to revolutionize how they do business and manage information. You’ll also hear how we have built solutions that meet the needs of their business faster than ever before.
Research study based on insights from more than 900 organizations. Includes analysis of 14 key areas for making IT Operations effective in Digital Economy
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
The document discusses various vendors that provide solutions to gain business insights from IT and digital performance monitoring data. It provides brief descriptions of each vendor's offerings, highlighting their capabilities for leveraging technical performance metrics and analytics to provide visibility into business metrics like revenue, customer experience, and operational efficiency. The vendors represent areas such as application performance monitoring, IT service management, digital experience monitoring, and security information management.
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
This document discusses foundational strategies for getting data to the cloud in a trusted manner. It emphasizes that trusted data requires visibility into all data, real-time data sharing across on-premises and cloud environments, and removing data silos. A strong data integration foundation enables centralized analytics, data discovery, data democratization with governance, and next-gen projects like AI/ML. Successful data integration requires understanding architectures, extracting the right legacy data, and scaling delivery as data volumes increase across cloud environments.
Top 4 Priorities in Building Insurance Data Governance Programs That WorkPrecisely
The document discusses building successful data governance programs that take a business-first approach. It recommends linking data governance to business goals, prioritizing critical data that drives key business metrics and outcomes, building engagement across operational, tactical, and strategic levels, and clearing a path for success by removing friction for stakeholders. Taking this approach can accelerate program roll-out by 18-40%, increase reinvestment likelihood by over 75%, and generate 2-7x greater ROI.
Optimize Business Intelligence Efforts With Embedded, Application-Driven Anal...SAP Analytics
Want to discover, procure, and provision business intelligence data more effectively? Forrester Consulting has a suggestion: embedded, application-driven analytics.
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Improve Your Data Quality & Eliminate DuplicatesData 8
Data8 provides data quality and duplicate detection solutions including Data8 DuplicareTM. A live demo will showcase how Data8 DuplicareTM helps improve data quality and eliminate duplicates in Microsoft Dynamics 365. The presentation will introduce the Data8 team, solutions, global clients, and processing volumes. It will also cover a demonstration of Data8 DuplicareTM capabilities for duplicate detection, merging records, and pricing models.
Data Integrity: The Baseline for InnovationPrecisely
This document discusses the importance of data integrity and governance. It begins by noting that data is fueling decision making and digital transformation. It then discusses how data integrity journeys are unique but driven by business needs. Ensuring data integrity provides many benefits like improved reporting, analytics and operational excellence. Effective data governance connects business value to critical data assets from an operational, tactical and strategic perspective. A key finding is that improving data quality is the leading benefit of data governance programs. The document argues that data governance and quality are symbiotic and help build trust in data, measure business value, and foster insights. It concludes by outlining the key steps in a journey to data integrity through modernization, governance, analytics and enrichment.
Users and customers don't just want products and services anymore - they also want the data and analytics that are under the hood! The good news is that delivering value with data is more achievable than ever before thanks to greater access to diverse data sources and the ability to process, blend, and refine data at unprecedented scale.
The document discusses a survey of 300 enterprise organizations about data ownership and big data initiatives. It finds that marketing and sales are most involved in purchase decisions, but sales, business development, and insights/analytics have the most influence. Most functions see their involvement peaking late in the purchase process. Organizations need strategies to align functional areas and determine influence. Data initiatives are being driven by needs for better analytics, marketing intelligence, and predictive capabilities rather than just data quality issues.
Engaging Your CFO in Business Analytics | Palestrante: Celso Chapinottesucesuminas
The document discusses the changing role of the CFO and importance of business analytics. It finds that CFO influence over IT investments is increasing as they seek to optimize performance and costs. Most CFOs believe IT should report to them. Business intelligence, analytics, and performance management are seen as top technology priorities and ways to address needs like measuring profitability and monitoring performance. The presentation recommends understanding the evolving CFO focus, enabling the CFO through technology, and improving the CFO-CIO relationship through communication and viewing projects as business rather than IT projects.
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
The document discusses how implementing a three step data governance plan including discover and cleanse data, organize and empower data stewards, and automate and enable trusted data can help businesses deliver trusted data at speed. It provides examples of how data governance addresses business drivers like improving productivity, managing risks, and enabling analytics. The document also presents use cases for data governance and a demo of how it works in action for a sports company.
HR Industry Spotlight: Oil & Gas. Proactively prepare for change and build a ...Nakisa
In an industry where competition for talent is high and attracting and retaining skilled workers is fundamental to business success, using an integrated organization and talent management solution is key. With the right processes and technology, you can reduce the risk and uncertainty of making critical enterprise and talent decisions by having accurate, real-time information at your finger-tips. Leveraging the simple user-interface and robust analytics, turn data into intelligence and gain confidence in the org and talent decisions you make for your enterprise.
These slides—based on the webinar featuring John L Myers, managing research director for data and analytics at leading IT analyst firm Enterprise Management Associates (EMA), and Neil Barton, chief technology officer at WhereScape—highlight how the world of streaming data pipelines and automation practices for analytical environments intersect to provide value to both business stakeholders and corporate technologists.
View these slides to learn about:
- Drivers behind the growth of streaming usage scenarios
- Challenges that streaming data presents
- Value of automation techniques and technologies
- Benefits of applying automation to streaming data pipelines
- How WhereScape® automation with Streaming can fast-track streaming data use in your data landscape
Sarah deLiefde, Practice Leader in Gartner's Supply Chain Research Group, held a webinar on how corporate changes will impact the Quality Role by 2020. Specifically, there are 8 trends shaping corporate functions:
Robert Winter - Enterprise Wide Information Logistics - Data Quality Summit 2008DataValueTalk
The document discusses the concept of information logistics (IL), which takes a managerial view of cross-unit data flows and synergies. It notes that while data warehousing and business intelligence focus on local utilization, IL focuses on exploiting synergies across units. IL aims to supply the right information with appropriate quality to cover all relevant demand. The document outlines challenges in IL operations management after 20 years of research and discusses the importance of quality management for IL.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
This document discusses the need for a customer 360 solution to provide a complete view of customer data across an organization. It describes how a customer 360 solution can integrate data from various sources to create a single customer profile with contact information, preferences, relationships and interactions. It provides an overview of the key components of a customer 360 reference architecture including data ingestion, governance, delivery and analytics capabilities. Finally, it demonstrates Informatica's customer 360 solution capabilities such as predefined customer data models, workflows, enrichment and integration with other master data domains.
Digital Transformation: Moving Beyond Enterprise Content Management to Conten...Zia Consulting
Recent technology acquisitions, enhanced user needs, new security risks, and varying governance requirements all contribute to the changing landscape of the enterprise content management (ECM) industry and the move toward complete content solutions. Most major corporations recognize that ECM tools can bring about substantial improvements in process efficiency, error reduction, and cost savings, but can be difficult to achieve with legacy systems and outdated methods.
As the complexity of content continues to grow, you need a modern content solution that can respond quickly. However, in this rapidly changing space, it can be hard to understand the available solutions and what to consider in the buying process. Join Zia Consulting, Ephesoft, and ASG Technologies for a discussion on transforming how your organization interacts with your information assets, covering topics such as:
Building business processes that work
Automating information governance
Integrating your content management system with other tools
How to drive actionable data intelligence
Cloud-first/hybrid approach
During this presentation, you will learn how our customers have made significant technology changes and advancements to revolutionize how they do business and manage information. You’ll also hear how we have built solutions that meet the needs of their business faster than ever before.
Integration allows rapid business reconfiguration to create new business models and ecosystems while continually optimizing customer experience and business operations.
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITDenodo
Watch here: https://bit.ly/3iGMsH6
Today’s CIOs carry a paradoxical responsibility of balancing the yin and yang of the Business – IT interface. That is, "Backroom IT’s quest for Stability" with the “Frontline Business’ need for Agility".
A paradox that is no longer optional, but is essential. A paradox that defines the business competitiveness, business survival, and business sustainability. Also enables the visibility to the fuzzy future.
“Trusted Data Foundation with Data Virtualization” provides a powerful ammunition in the hands of the CIO, to effectively balance these Yin and Yang at the speed of the business. In a trusted, compliant, auditable, flexible and regulated fashion.
Find out more on how you can enhance the competitive edge for your business in the CIO special webinar from COMPEGENCE and DENODO.
Is your business ready for a Digital Transformation?Alex Novadnieks
The document discusses a benchmarking study on digital transformation maturity. It finds that organizations with higher digital maturity have significantly better financial performance. While most organizations see benefits like cost reduction from digital transformation, few have progressed beyond pilot initiatives. The document outlines 10 attributes of digital leaders, including predictive analytics, platforms, personalization and executive sponsorship. It urges all industries to take active steps to assess opportunities in digital transformation.
Capgemini’s Data WARP: Accelerate your Journey to InsightsCapgemini
More data, more insights. Data is at the center of change and business value! There is no limit to volume, structure of timing. But more data brings more challenges, like cost of storage, increased complexity of the data architecture and a lack of agility. Many organizations are still faced with scattered data lying in silos across the organization. They often lack a clear business case for funding a transform of their data landscape. Or they suffer from ineffective co-ordination of Data and analytics initiatives. Finally, the dependency on legacy systems for data processing and management is still high. Data WARP (Wide Angle Rationalization Program) helps organizations improve the performance of their data & insights architecture landscape, by providing key deliverables like rationalization designs, business cases and transformation roadmap.
Presented at Informatica World 2016 by Jorgen Heizenberg, CTO- Netherlands, Capgemini Insights & Data
Modern Data Challenges require Modern Graph TechnologyNeo4j
This session focuses on key data trends and challenges impacting enterprises. And, how graph technology is evolving to future-proof data strategy and architectures.
The SAP solutions for Enterprise Information Management (EIM) Overview presentation provides a comprehensive overview on the portfolio of EIM solutions.
This document discusses how Oracle Analytics can help companies gain competitive advantages through data-driven insights. It promotes Oracle Analytics as a solution that allows users to access and analyze data from multiple sources, gain predictive insights through machine learning and artificial intelligence, and empower business users to perform self-service analytics. Case studies are presented showing how Oracle customers in media/entertainment and consumer services have used Oracle Analytics to accelerate financial reporting, optimize operations through sales predictions, and free up time for more analysis.
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
This document discusses IBM's big data and analytics solutions. It describes big data as involving large volumes and varieties of data. The document outlines challenges of traditional IT systems and how new systems of engagement require massive scale, rapid insights, and data elasticity. It promotes investing in IBM's big data and analytics platform, which harnesses all data and analytics paradigms. The platform includes infrastructure, governance, ingestion, warehousing, and analytics capabilities. It is presented as helping organizations be more right more often by understanding what happened, learning from data, discovering current trends, deciding on actions, and predicting outcomes.
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
The document discusses a webinar by SAP and Ernst & Young on big data. It explores big data adoption trends, how organizations can leverage big data to improve business performance and manage risks, and common use cases across industries like retail, transportation, and government. The webinar provides guidance on how organizations can get started with big data initiatives by identifying executive sponsors, use cases, architectural gaps, and building a business case to justify investment.
Align Business Data & Analytics for Digital TransformationPerficient, Inc.
Your success in the digital world relies primarily on how well you manage and analyze the data coming from disparate internal systems and external channels. You need to understand how to innovate and leverage digital data to drive sales and productivity.
Existing principles driving traditional data architecture are inadequate to support the volume, variety, and velocity of this new data ecosystem. In these scenarios, information governance (master data management, metadata, data quality and data governance) becomes highly critical in terms of providing the context for operational, competitive and advanced analytics.
Companies require a data architecture and strategy that can support efficient digital transformation by unlocking the value in all data sources to provide mission-critical insights and informed decision-making.
Our experts covered:
-Five information management pillars necessary for digital transformation
-Stages of digital information maturity, reflecting the typical path of an organization implementing this new data ecosystem
-Issues, challenges, and approaches to governing this new architecture
[DSC Adria 23] Thomas Miebach A modern, business focused data strategy with C...DataScienceConferenc1
In this session we’ll highlight some key challenges with the “old” data world, and how to overcome them with a modern data strategy focused on the business outcomes. We’ll illustrate how Collibra fits into this strategy and how Collibra supports it.
Réinventez le Data Management avec la Data Virtualization de DenodoDenodo
Regardez la version complète du webinar à la demande ici: https://goo.gl/ZxRqmX
"D'ici à 2020, 50% des entreprises mettront en œuvre une forme de virtualisation des données comme une option pour l'intégration de données", selon le cabinet d’analystes Gartner. La virtualisation des données ou data virtualization est devenue une force motrice pour les entreprises pour la mise en œuvre d’une architecture de données d'entreprise agile, temps réel et flexible.
Au sommaire de ce webinar:
Denodo et son positionnement sur le marché de la Data Virtualization
Les principales fonctionnalités
Démo/vidéo
Les principaux cas d’usage. Présentation d'un cas client : comment Intel a repensé l’architecture de ses données avec la Data Virtualization
Les ressources
Questions/Réponses
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Context*
Generally, on weekends people tend to spend time with their family and friends and go for outings, parties, shopping, etc. which results in an increased number of vehicles and crowds on the roads.
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Observe the Difference in Differences between ‘year’ >= 2000 & ‘year’ <2000
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