This document summarizes key concepts from Chapter 2 of the textbook "IT for Management: On-Demand Strategies for Performance, Growth, and Sustainability". It discusses information systems, IT architecture, data governance, and cloud computing. Specifically, it defines data centers, cloud computing, virtualization, and different cloud service models. It also explains the benefits of technologies like virtualization, data virtualization, and software-defined data centers.
My keynote speech at the ISACA IIA Belgium software watch day in October 2014 in Brussels on the value of big data and data analytics for auditors and other assurance professionals
The document discusses an enterprise information management (EIM) framework and big data readiness assessment. It provides an overview of key components of an EIM framework, including data governance, data integration, data lifecycle management, and maturity assessments of EIM disciplines and enablers. It then describes a big data readiness assessment that helps organizations address questions around their need for and ability to exploit big data by determining which foundational EIM capabilities must be established and what aspects need improvement before embarking on a big data initiative.
Copyright Notice:
This presentation is prepared by Author for Perbanas Institute as a part of Author Lecture Series. It is to be used for educational and non-commercial purposes only and is not to be changed, altered, or used for any commercial endeavor without the express written permission from Author and/or Perbanas Institute. Appropriate legal action may be taken against any person, organization, or entity attempting to misrepresent, charge, or profit from the educational materials contained here.
Authors are allowed to use their own articles without seeking permission from any person, organization, or entity.
Big data refers to huge amounts of data from various sources that traditional data management systems cannot handle. It is characterized by volume, velocity, variety, and veracity. Handling big data requires expertise in security, management, and analytics. Data scientists use descriptive, diagnostic, predictive, and prescriptive analytics techniques on big data to create business insights and decisions using business intelligence tools. While big data offers opportunities, it also poses risks like bad data, security issues, and costs if not properly analyzed and managed.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
How Facility Controls Systems Present Cybersecurity Challenges - OSIsoftOSIsoft, LLC
As the need for facility equipment and asset data grows, serious cybersecurity risk are revealed, including inadequate security architecture, lack of process and controls the use of contractors and vendors. We need to be able to to identify risks and develop mitigation strategy. This presentation will provide insights, answers and tips. It will identify the value of IT/OT integration in solving facilities cybersecurity threats.
My keynote speech at the ISACA IIA Belgium software watch day in October 2014 in Brussels on the value of big data and data analytics for auditors and other assurance professionals
The document discusses an enterprise information management (EIM) framework and big data readiness assessment. It provides an overview of key components of an EIM framework, including data governance, data integration, data lifecycle management, and maturity assessments of EIM disciplines and enablers. It then describes a big data readiness assessment that helps organizations address questions around their need for and ability to exploit big data by determining which foundational EIM capabilities must be established and what aspects need improvement before embarking on a big data initiative.
Copyright Notice:
This presentation is prepared by Author for Perbanas Institute as a part of Author Lecture Series. It is to be used for educational and non-commercial purposes only and is not to be changed, altered, or used for any commercial endeavor without the express written permission from Author and/or Perbanas Institute. Appropriate legal action may be taken against any person, organization, or entity attempting to misrepresent, charge, or profit from the educational materials contained here.
Authors are allowed to use their own articles without seeking permission from any person, organization, or entity.
Big data refers to huge amounts of data from various sources that traditional data management systems cannot handle. It is characterized by volume, velocity, variety, and veracity. Handling big data requires expertise in security, management, and analytics. Data scientists use descriptive, diagnostic, predictive, and prescriptive analytics techniques on big data to create business insights and decisions using business intelligence tools. While big data offers opportunities, it also poses risks like bad data, security issues, and costs if not properly analyzed and managed.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
How Facility Controls Systems Present Cybersecurity Challenges - OSIsoftOSIsoft, LLC
As the need for facility equipment and asset data grows, serious cybersecurity risk are revealed, including inadequate security architecture, lack of process and controls the use of contractors and vendors. We need to be able to to identify risks and develop mitigation strategy. This presentation will provide insights, answers and tips. It will identify the value of IT/OT integration in solving facilities cybersecurity threats.
It implement-it-asset-management-executive-briefVisal Thach
IT asset management (ITAM)’s real value doesn’t emerge from compliance; it comes from strengthening other IT services.
Proactive asset management can prevent an audit from happening.
Treat ITAM like a process, not a project.
Impact and Result
Develop an IT asset management standard operating procedure.
Draft a list of technical requirements for an ITAM solution to help generate a shortlist.
Save thousands on lost or stagnant equipment and costly data breaches.
Improve other processes by leveraging IT asset data.
Understanding IT Strategy, Sourcing and Vendor RelationshipsGoutama Bachtiar
This document discusses IT strategy, sourcing, and vendor relationships. It covers key topics such as:
1. Aligning IT strategy with business strategy and exploring different IT governance models.
2. Examining IT operating plans and sourcing strategies, including discussions of outsourcing, offshoring, and the outsourcing lifecycle.
3. Important considerations for commencing relationships with IT vendors, including vendor selection, contracts, and financial stability.
The document discusses information governance, including its definition, why it is important, who is responsible, and how to implement it. Specifically, it notes that information governance aims to manage information at an enterprise level to support regulatory, risk, and operational requirements. It discusses building a valued information asset, reducing costs and increasing revenue, and optimizing resource use as benefits. Ownership resides with the business, with a governance unit providing authority and control. The "how" section outlines scoping information governance, moving from a current fragmented state to a future state of alignment. It provides examples of projects, maturity models, and next steps to implement information governance.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Business intelligence (BI) refers to technologies and systems used by enterprises to analyze operational data with business analytics tools and techniques to help corporate decision-making and governance. It involves gathering data from various sources, managing and storing that data in a data warehouse or data mart, and providing access to it for analysis.
The Gartner Group is an American research and advisory firm providing information to information technology and other industries. The group popularized the term "business intelligence" as an umbrella concept to describe methods and technologies to improve business decision making through fact-based support systems. They defined BI as consisting of two main environments - the data to information environment, where operational
Harley Davidson recognized the need to align IT with its business strategy for continued growth. It implemented an IT governance framework to unite management, IT, and audit functions while preserving company culture. The framework aligned IT decision making with business objectives, managed risks, and ensured IT resources supported business goals. This allowed Harley Davidson to sustain record growth for 20 consecutive years while effectively governing its increasing IT usage and investments.
Big Data - Bridging Technology and HumansMark Laurance
The document discusses big data and how organizations can leverage it. It defines big data and notes the rapid growth in data. It outlines five ways big data can create value for organizations, including making information more transparent and usable, improving performance through data collection, narrow customer segmentation, improved decision making, and better product development. The document also warns of a potential shortage of analytics talent as organizations seek to take advantage of big data.
This document discusses business analytics and data analytics capabilities. It covers key concepts like data warehouses, data marts, ETL processes, business intelligence, data mining techniques, and how organizations can use analytics to gain insights from data to support decision making and gain a competitive advantage. The document provides examples of how companies like IHG and retailers use analytics to improve operations and customer understanding.
PIS Lecture notes principal of information systemsShukraShukra
This document provides an overview of an introductory course on principles of information systems. It includes the course schedule, learning objectives, and definitions of key concepts like data, information, knowledge, systems, and information systems. The lecture schedule outlines 14 classes covering topics such as strategic information systems, knowledge management, enterprise resource planning, and decision making. Definitions provided help distinguish between data, information, and knowledge. Information systems are described as sets of components that collect, process, store, and disseminate data and information to meet objectives.
Encrypted Data Management With Deduplication In Cloud...Angie Jorgensen
The document discusses some disadvantages of Minitrex's current data management system and proposes solutions based on customer relationship management (CRM) theories. It finds that Minitrex's data is siloed across different departments, leading to issues like duplicate customer records and a lack of a holistic view of customers. It suggests integrating CRM across departments to get a unified view of customers. It also recommends utilizing CRM software to consolidate data to improve data quality, gain insights, and better manage customer relationships. Leadership support and an integrated, holistic approach are identified as important for effective use of CRM.
Based on research, Dennis Drogseth, VP of research at leading IT analyst firm Enterprise Management Associates (EMA), provides unique insights into how IT organizations are operationalizing their advanced IT analytics investments.
CHAPTER 10
INFORMATION GOVERNANCE
Information Governance and Information
Technology Functions
ITS 833
Dr. Mia Simmons
Chapter Overview
■ This chapter will cover pages 189-206 in
your book.
■ This chapter discusses how Information
Technology (IT) aligns directly with the
success of Information Governance.
2
What is Information Technology?
■ Information technology (IT) is a core function impacted by
information governance (IG) efforts.
– The IT side, shared responsibility for IG means the IT
department itself must take a closer look at IT processes
and activities with an eye to IG.
– A focus on improving IT efficiency, software development
processes, and data quality will help contribute to the
overall IG program effort
3
CIO & IT Leaders Key Focus Areas
■ Four IG areas for successful delivery of IG efforts:
1. Don’t focus on technology, focus on business impact
■ IT needs to become more business savvy, more businesslike, more
focused on delivering business benefits that can help the organization
to meet its business goals and achieve its business objectives.
2. Customize your IG approach for your specific business, folding in
any industry-specific best practices possible.
■ there are components that are common to all industries, but tailoring
your approach to your organization is the only way to deliver real
business value and results
3. Make the business case for IG by tying it to business objectives
■ The business case must be presented in order to gain executive
sponsorship, which is an essential component of any IG effort.
4. Standardize use of business terms
■ IG requires a cross-functional effort, so you must be speaking the
same language, which means the business terms you use in your
organization must be standardize
4
Data
Governance
■ Data is big, data is growing, data is
valuable, and the insights that can be
gained by analyzing clean, reliable data
with the latest analytic tools are a sort of
new currency.
■ focuses on information quality from the
ground up (at the lowest or root level), so
that subsequent reports, analyses and
conclusions are based on clean, reliable,
trusted data (or records) in database
tables
■ Data governance is a newer, hybrid
quality control discipline that includes
elements of data quality, data
management, IG policy development,
business process improvement, and
compliance and risk management.
■ Data governance with real-time analytics
and business intelligence (BI) software
not only can yield insights into significant
and emerging trends but also can provide
solid information for decision makers to
use in times of crisis—or opportunity.
5
Steps to Governing Data
Effectively
1. Recruit a strong executive sponsor.
2. Assess your current state
3. Set the ideal state vision and strategy.
4. Compute the value of your data.
5. Asses Risk
6. Implement a going-forward strategy
7. Assign accountabili.
CHAPTER 10
INFORMATION GOVERNANCE
Information Governance and Information
Technology Functions
ITS 833
Dr. Mia Simmons
Chapter Overview
■ This chapter will cover pages 189-206 in
your book.
■ This chapter discusses how Information
Technology (IT) aligns directly with the
success of Information Governance.
2
What is Information Technology?
■ Information technology (IT) is a core function impacted by
information governance (IG) efforts.
– The IT side, shared responsibility for IG means the IT
department itself must take a closer look at IT processes
and activities with an eye to IG.
– A focus on improving IT efficiency, software development
processes, and data quality will help contribute to the
overall IG program effort
3
CIO & IT Leaders Key Focus Areas
■ Four IG areas for successful delivery of IG efforts:
1. Don’t focus on technology, focus on business impact
■ IT needs to become more business savvy, more businesslike, more
focused on delivering business benefits that can help the organization
to meet its business goals and achieve its business objectives.
2. Customize your IG approach for your specific business, folding in
any industry-specific best practices possible.
■ there are components that are common to all industries, but tailoring
your approach to your organization is the only way to deliver real
business value and results
3. Make the business case for IG by tying it to business objectives
■ The business case must be presented in order to gain executive
sponsorship, which is an essential component of any IG effort.
4. Standardize use of business terms
■ IG requires a cross-functional effort, so you must be speaking the
same language, which means the business terms you use in your
organization must be standardize
4
Data
Governance
■ Data is big, data is growing, data is
valuable, and the insights that can be
gained by analyzing clean, reliable data
with the latest analytic tools are a sort of
new currency.
■ focuses on information quality from the
ground up (at the lowest or root level), so
that subsequent reports, analyses and
conclusions are based on clean, reliable,
trusted data (or records) in database
tables
■ Data governance is a newer, hybrid
quality control discipline that includes
elements of data quality, data
management, IG policy development,
business process improvement, and
compliance and risk management.
■ Data governance with real-time analytics
and business intelligence (BI) software
not only can yield insights into significant
and emerging trends but also can provide
solid information for decision makers to
use in times of crisis—or opportunity.
5
Steps to Governing Data
Effectively
1. Recruit a strong executive sponsor.
2. Assess your current state
3. Set the ideal state vision and strategy.
4. Compute the value of your data.
5. Asses Risk
6. Implement a going-forward strategy
7. Assign accountabili ...
The document discusses how the on-demand economy, propelled by smartphones and location-based services, has disrupted many markets through app-driven companies like Airbnb and Uber. It explains how digital business models focus on engaging customers digitally via websites, social media, and mobile apps to create value. Finally, it discusses how information technology careers remain in high demand due to the need for skills like data analytics, as businesses seek to leverage large datasets to gain customer insights and develop new products and services.
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
The document discusses learning objectives and foundational concepts for an introductory information systems course, including defining what a system and information system are, explaining why information systems are important for business, and providing examples of how businesses use information systems.
Tips --Break Down the Barriers to Better Data AnalyticsAbhishek Sood
1) Analytics executives face challenges in collecting, analyzing, and delivering insights from data due to a lack of skills, cultural barriers, IT backlogs, and productivity drains.
2) Legacy systems and complex analytics platforms also impede effective data use. Modular solutions that integrate with existing systems and empower self-service are recommended.
3) The document promotes the Statistica software as addressing these challenges through its ease of use, integration capabilities, and support for big data analytics.
This document discusses IT governance and provides an overview of key concepts. It defines IT governance as consisting of leadership, structures, and processes to ensure IT supports business strategies and objectives. The document outlines five areas of focus for IT governance: strategic alignment, value delivery, resource management, risk management, and performance measurement. It also discusses why IT governance is important, who benefits, common frameworks that can be used, as well as advantages and disadvantages.
Information systems involve organizational, management, and technology dimensions. Computer specialists understand technology but may lack business knowledge, so they should work as part of an interdisciplinary team. Information systems are essential in business today due to trends like globalization, the rise of knowledge economies, the transformation of business models, and the emergence of digital firms. An information system includes interrelated components for collecting, processing, storing, and sharing information to support decision making. It differs from a computer or program, which are technological components of an information system. Data becomes useful information after being processed into meaningful form.
For senior executives, successfully managing a major cyber attack relies on your ability to minimise operational downtime, revenue loss and reputational damage.
Indeed, the approach you take to recovery is the ultimate test for your Resilience, Business Continuity, Cyber Security and IT teams.
Our Cyber Recovery Wargame prepares your organisation to deliver an exceptional crisis response.
Event date: 19th June 2024, Tate Modern
This time, we're diving into the murky waters of the Fuxnet malware, a brainchild of the illustrious Blackjack hacking group.
Let's set the scene: Moscow, a city unsuspectingly going about its business, unaware that it's about to be the star of Blackjack's latest production. The method? Oh, nothing too fancy, just the classic "let's potentially disable sensor-gateways" move.
In a move of unparalleled transparency, Blackjack decides to broadcast their cyber conquests on ruexfil.com. Because nothing screams "covert operation" like a public display of your hacking prowess, complete with screenshots for the visually inclined.
Ah, but here's where the plot thickens: the initial claim of 2,659 sensor-gateways laid to waste? A slight exaggeration, it seems. The actual tally? A little over 500. It's akin to declaring world domination and then barely managing to annex your backyard.
For Blackjack, ever the dramatists, hint at a sequel, suggesting the JSON files were merely a teaser of the chaos yet to come. Because what's a cyberattack without a hint of sequel bait, teasing audiences with the promise of more digital destruction?
-------
This document presents a comprehensive analysis of the Fuxnet malware, attributed to the Blackjack hacking group, which has reportedly targeted infrastructure. The analysis delves into various aspects of the malware, including its technical specifications, impact on systems, defense mechanisms, propagation methods, targets, and the motivations behind its deployment. By examining these facets, the document aims to provide a detailed overview of Fuxnet's capabilities and its implications for cybersecurity.
The document offers a qualitative summary of the Fuxnet malware, based on the information publicly shared by the attackers and analyzed by cybersecurity experts. This analysis is invaluable for security professionals, IT specialists, and stakeholders in various industries, as it not only sheds light on the technical intricacies of a sophisticated cyber threat but also emphasizes the importance of robust cybersecurity measures in safeguarding critical infrastructure against emerging threats. Through this detailed examination, the document contributes to the broader understanding of cyber warfare tactics and enhances the preparedness of organizations to defend against similar attacks in the future.
It implement-it-asset-management-executive-briefVisal Thach
IT asset management (ITAM)’s real value doesn’t emerge from compliance; it comes from strengthening other IT services.
Proactive asset management can prevent an audit from happening.
Treat ITAM like a process, not a project.
Impact and Result
Develop an IT asset management standard operating procedure.
Draft a list of technical requirements for an ITAM solution to help generate a shortlist.
Save thousands on lost or stagnant equipment and costly data breaches.
Improve other processes by leveraging IT asset data.
Understanding IT Strategy, Sourcing and Vendor RelationshipsGoutama Bachtiar
This document discusses IT strategy, sourcing, and vendor relationships. It covers key topics such as:
1. Aligning IT strategy with business strategy and exploring different IT governance models.
2. Examining IT operating plans and sourcing strategies, including discussions of outsourcing, offshoring, and the outsourcing lifecycle.
3. Important considerations for commencing relationships with IT vendors, including vendor selection, contracts, and financial stability.
The document discusses information governance, including its definition, why it is important, who is responsible, and how to implement it. Specifically, it notes that information governance aims to manage information at an enterprise level to support regulatory, risk, and operational requirements. It discusses building a valued information asset, reducing costs and increasing revenue, and optimizing resource use as benefits. Ownership resides with the business, with a governance unit providing authority and control. The "how" section outlines scoping information governance, moving from a current fragmented state to a future state of alignment. It provides examples of projects, maturity models, and next steps to implement information governance.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Business intelligence (BI) refers to technologies and systems used by enterprises to analyze operational data with business analytics tools and techniques to help corporate decision-making and governance. It involves gathering data from various sources, managing and storing that data in a data warehouse or data mart, and providing access to it for analysis.
The Gartner Group is an American research and advisory firm providing information to information technology and other industries. The group popularized the term "business intelligence" as an umbrella concept to describe methods and technologies to improve business decision making through fact-based support systems. They defined BI as consisting of two main environments - the data to information environment, where operational
Harley Davidson recognized the need to align IT with its business strategy for continued growth. It implemented an IT governance framework to unite management, IT, and audit functions while preserving company culture. The framework aligned IT decision making with business objectives, managed risks, and ensured IT resources supported business goals. This allowed Harley Davidson to sustain record growth for 20 consecutive years while effectively governing its increasing IT usage and investments.
Big Data - Bridging Technology and HumansMark Laurance
The document discusses big data and how organizations can leverage it. It defines big data and notes the rapid growth in data. It outlines five ways big data can create value for organizations, including making information more transparent and usable, improving performance through data collection, narrow customer segmentation, improved decision making, and better product development. The document also warns of a potential shortage of analytics talent as organizations seek to take advantage of big data.
This document discusses business analytics and data analytics capabilities. It covers key concepts like data warehouses, data marts, ETL processes, business intelligence, data mining techniques, and how organizations can use analytics to gain insights from data to support decision making and gain a competitive advantage. The document provides examples of how companies like IHG and retailers use analytics to improve operations and customer understanding.
PIS Lecture notes principal of information systemsShukraShukra
This document provides an overview of an introductory course on principles of information systems. It includes the course schedule, learning objectives, and definitions of key concepts like data, information, knowledge, systems, and information systems. The lecture schedule outlines 14 classes covering topics such as strategic information systems, knowledge management, enterprise resource planning, and decision making. Definitions provided help distinguish between data, information, and knowledge. Information systems are described as sets of components that collect, process, store, and disseminate data and information to meet objectives.
Encrypted Data Management With Deduplication In Cloud...Angie Jorgensen
The document discusses some disadvantages of Minitrex's current data management system and proposes solutions based on customer relationship management (CRM) theories. It finds that Minitrex's data is siloed across different departments, leading to issues like duplicate customer records and a lack of a holistic view of customers. It suggests integrating CRM across departments to get a unified view of customers. It also recommends utilizing CRM software to consolidate data to improve data quality, gain insights, and better manage customer relationships. Leadership support and an integrated, holistic approach are identified as important for effective use of CRM.
Based on research, Dennis Drogseth, VP of research at leading IT analyst firm Enterprise Management Associates (EMA), provides unique insights into how IT organizations are operationalizing their advanced IT analytics investments.
CHAPTER 10
INFORMATION GOVERNANCE
Information Governance and Information
Technology Functions
ITS 833
Dr. Mia Simmons
Chapter Overview
■ This chapter will cover pages 189-206 in
your book.
■ This chapter discusses how Information
Technology (IT) aligns directly with the
success of Information Governance.
2
What is Information Technology?
■ Information technology (IT) is a core function impacted by
information governance (IG) efforts.
– The IT side, shared responsibility for IG means the IT
department itself must take a closer look at IT processes
and activities with an eye to IG.
– A focus on improving IT efficiency, software development
processes, and data quality will help contribute to the
overall IG program effort
3
CIO & IT Leaders Key Focus Areas
■ Four IG areas for successful delivery of IG efforts:
1. Don’t focus on technology, focus on business impact
■ IT needs to become more business savvy, more businesslike, more
focused on delivering business benefits that can help the organization
to meet its business goals and achieve its business objectives.
2. Customize your IG approach for your specific business, folding in
any industry-specific best practices possible.
■ there are components that are common to all industries, but tailoring
your approach to your organization is the only way to deliver real
business value and results
3. Make the business case for IG by tying it to business objectives
■ The business case must be presented in order to gain executive
sponsorship, which is an essential component of any IG effort.
4. Standardize use of business terms
■ IG requires a cross-functional effort, so you must be speaking the
same language, which means the business terms you use in your
organization must be standardize
4
Data
Governance
■ Data is big, data is growing, data is
valuable, and the insights that can be
gained by analyzing clean, reliable data
with the latest analytic tools are a sort of
new currency.
■ focuses on information quality from the
ground up (at the lowest or root level), so
that subsequent reports, analyses and
conclusions are based on clean, reliable,
trusted data (or records) in database
tables
■ Data governance is a newer, hybrid
quality control discipline that includes
elements of data quality, data
management, IG policy development,
business process improvement, and
compliance and risk management.
■ Data governance with real-time analytics
and business intelligence (BI) software
not only can yield insights into significant
and emerging trends but also can provide
solid information for decision makers to
use in times of crisis—or opportunity.
5
Steps to Governing Data
Effectively
1. Recruit a strong executive sponsor.
2. Assess your current state
3. Set the ideal state vision and strategy.
4. Compute the value of your data.
5. Asses Risk
6. Implement a going-forward strategy
7. Assign accountabili.
CHAPTER 10
INFORMATION GOVERNANCE
Information Governance and Information
Technology Functions
ITS 833
Dr. Mia Simmons
Chapter Overview
■ This chapter will cover pages 189-206 in
your book.
■ This chapter discusses how Information
Technology (IT) aligns directly with the
success of Information Governance.
2
What is Information Technology?
■ Information technology (IT) is a core function impacted by
information governance (IG) efforts.
– The IT side, shared responsibility for IG means the IT
department itself must take a closer look at IT processes
and activities with an eye to IG.
– A focus on improving IT efficiency, software development
processes, and data quality will help contribute to the
overall IG program effort
3
CIO & IT Leaders Key Focus Areas
■ Four IG areas for successful delivery of IG efforts:
1. Don’t focus on technology, focus on business impact
■ IT needs to become more business savvy, more businesslike, more
focused on delivering business benefits that can help the organization
to meet its business goals and achieve its business objectives.
2. Customize your IG approach for your specific business, folding in
any industry-specific best practices possible.
■ there are components that are common to all industries, but tailoring
your approach to your organization is the only way to deliver real
business value and results
3. Make the business case for IG by tying it to business objectives
■ The business case must be presented in order to gain executive
sponsorship, which is an essential component of any IG effort.
4. Standardize use of business terms
■ IG requires a cross-functional effort, so you must be speaking the
same language, which means the business terms you use in your
organization must be standardize
4
Data
Governance
■ Data is big, data is growing, data is
valuable, and the insights that can be
gained by analyzing clean, reliable data
with the latest analytic tools are a sort of
new currency.
■ focuses on information quality from the
ground up (at the lowest or root level), so
that subsequent reports, analyses and
conclusions are based on clean, reliable,
trusted data (or records) in database
tables
■ Data governance is a newer, hybrid
quality control discipline that includes
elements of data quality, data
management, IG policy development,
business process improvement, and
compliance and risk management.
■ Data governance with real-time analytics
and business intelligence (BI) software
not only can yield insights into significant
and emerging trends but also can provide
solid information for decision makers to
use in times of crisis—or opportunity.
5
Steps to Governing Data
Effectively
1. Recruit a strong executive sponsor.
2. Assess your current state
3. Set the ideal state vision and strategy.
4. Compute the value of your data.
5. Asses Risk
6. Implement a going-forward strategy
7. Assign accountabili ...
The document discusses how the on-demand economy, propelled by smartphones and location-based services, has disrupted many markets through app-driven companies like Airbnb and Uber. It explains how digital business models focus on engaging customers digitally via websites, social media, and mobile apps to create value. Finally, it discusses how information technology careers remain in high demand due to the need for skills like data analytics, as businesses seek to leverage large datasets to gain customer insights and develop new products and services.
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
The document discusses learning objectives and foundational concepts for an introductory information systems course, including defining what a system and information system are, explaining why information systems are important for business, and providing examples of how businesses use information systems.
Tips --Break Down the Barriers to Better Data AnalyticsAbhishek Sood
1) Analytics executives face challenges in collecting, analyzing, and delivering insights from data due to a lack of skills, cultural barriers, IT backlogs, and productivity drains.
2) Legacy systems and complex analytics platforms also impede effective data use. Modular solutions that integrate with existing systems and empower self-service are recommended.
3) The document promotes the Statistica software as addressing these challenges through its ease of use, integration capabilities, and support for big data analytics.
This document discusses IT governance and provides an overview of key concepts. It defines IT governance as consisting of leadership, structures, and processes to ensure IT supports business strategies and objectives. The document outlines five areas of focus for IT governance: strategic alignment, value delivery, resource management, risk management, and performance measurement. It also discusses why IT governance is important, who benefits, common frameworks that can be used, as well as advantages and disadvantages.
Information systems involve organizational, management, and technology dimensions. Computer specialists understand technology but may lack business knowledge, so they should work as part of an interdisciplinary team. Information systems are essential in business today due to trends like globalization, the rise of knowledge economies, the transformation of business models, and the emergence of digital firms. An information system includes interrelated components for collecting, processing, storing, and sharing information to support decision making. It differs from a computer or program, which are technological components of an information system. Data becomes useful information after being processed into meaningful form.
For senior executives, successfully managing a major cyber attack relies on your ability to minimise operational downtime, revenue loss and reputational damage.
Indeed, the approach you take to recovery is the ultimate test for your Resilience, Business Continuity, Cyber Security and IT teams.
Our Cyber Recovery Wargame prepares your organisation to deliver an exceptional crisis response.
Event date: 19th June 2024, Tate Modern
This time, we're diving into the murky waters of the Fuxnet malware, a brainchild of the illustrious Blackjack hacking group.
Let's set the scene: Moscow, a city unsuspectingly going about its business, unaware that it's about to be the star of Blackjack's latest production. The method? Oh, nothing too fancy, just the classic "let's potentially disable sensor-gateways" move.
In a move of unparalleled transparency, Blackjack decides to broadcast their cyber conquests on ruexfil.com. Because nothing screams "covert operation" like a public display of your hacking prowess, complete with screenshots for the visually inclined.
Ah, but here's where the plot thickens: the initial claim of 2,659 sensor-gateways laid to waste? A slight exaggeration, it seems. The actual tally? A little over 500. It's akin to declaring world domination and then barely managing to annex your backyard.
For Blackjack, ever the dramatists, hint at a sequel, suggesting the JSON files were merely a teaser of the chaos yet to come. Because what's a cyberattack without a hint of sequel bait, teasing audiences with the promise of more digital destruction?
-------
This document presents a comprehensive analysis of the Fuxnet malware, attributed to the Blackjack hacking group, which has reportedly targeted infrastructure. The analysis delves into various aspects of the malware, including its technical specifications, impact on systems, defense mechanisms, propagation methods, targets, and the motivations behind its deployment. By examining these facets, the document aims to provide a detailed overview of Fuxnet's capabilities and its implications for cybersecurity.
The document offers a qualitative summary of the Fuxnet malware, based on the information publicly shared by the attackers and analyzed by cybersecurity experts. This analysis is invaluable for security professionals, IT specialists, and stakeholders in various industries, as it not only sheds light on the technical intricacies of a sophisticated cyber threat but also emphasizes the importance of robust cybersecurity measures in safeguarding critical infrastructure against emerging threats. Through this detailed examination, the document contributes to the broader understanding of cyber warfare tactics and enhances the preparedness of organizations to defend against similar attacks in the future.
How to Optimize Call Monitoring: Automate QA and Elevate Customer ExperienceAggregage
The traditional method of manual call monitoring is no longer cutting it in today's fast-paced call center environment. Join this webinar where industry experts Angie Kronlage and April Wiita from Working Solutions will explore the power of automation to revolutionize outdated call review processes!
EverHost AI Review: Empowering Websites with Limitless Possibilities through ...SOFTTECHHUB
The success of an online business hinges on the performance and reliability of its website. As more and more entrepreneurs and small businesses venture into the virtual realm, the need for a robust and cost-effective hosting solution has become paramount. Enter EverHost AI, a revolutionary hosting platform that harnesses the power of "AMD EPYC™ CPUs" technology to provide a seamless and unparalleled web hosting experience.
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...AlexanderRichford
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
The "Zen" of Python Exemplars - OTel Community DayPaige Cruz
The Zen of Python states "There should be one-- and preferably only one --obvious way to do it." OpenTelemetry is the obvious choice for traces but bad news for Pythonistas when it comes to metrics because both Prometheus and OpenTelemetry offer compelling choices. Let's look at all of the ways you can tie metrics and traces together with exemplars whether you're working with OTel metrics, Prom metrics, Prom-turned-OTel metrics, or OTel-turned-Prom metrics!
Dev Dives: Mining your data with AI-powered Continuous DiscoveryUiPathCommunity
Want to learn how AI and Continuous Discovery can uncover impactful automation opportunities? Watch this webinar to find out more about UiPath Discovery products!
Watch this session and:
👉 See the power of UiPath Discovery products, including Process Mining, Task Mining, Communications Mining, and Automation Hub
👉 Watch the demo of how to leverage system data, desktop data, or unstructured communications data to gain deeper understanding of existing processes
👉 Learn how you can benefit from each of the discovery products as an Automation Developer
🗣 Speakers:
Jyoti Raghav, Principal Technical Enablement Engineer @UiPath
Anja le Clercq, Principal Technical Enablement Engineer @UiPath
⏩ Register for our upcoming Dev Dives July session: Boosting Tester Productivity with Coded Automation and Autopilot™
👉 Link: https://bit.ly/Dev_Dives_July
This session was streamed live on June 27, 2024.
Check out all our upcoming Dev Dives 2024 sessions at:
🚩 https://bit.ly/Dev_Dives_2024
Database Management Myths for DevelopersJohn Sterrett
Myths, Mistakes, and Lessons learned about Managing SQL Server databases. We also focus on automating and validating your critical database management tasks.
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ReversingLabs recently completed the largest migration in their history: migrating more than 300 TB of data, more than 400 services, and data models from their internally-developed key-value database to ScyllaDB seamlessly, and with ZERO downtime. Services using multiple tables — reading, writing, and deleting data, and even using transactions — needed to go through a fast and seamless switch. So how did they pull it off? Martina shares their strategy, including service migration, data modeling changes, the actual data migration, and how they addressed distributed locking.
In ScyllaDB 6.0, we complete the transition to strong consistency for all of the cluster metadata. In this session, Konstantin Osipov covers the improvements we introduce along the way for such features as CDC, authentication, service levels, Gossip, and others.
An Introduction to All Data Enterprise IntegrationSafe Software
Are you spending more time wrestling with your data than actually using it? You’re not alone. For many organizations, managing data from various sources can feel like an uphill battle. But what if you could turn that around and make your data work for you effortlessly? That’s where FME comes in.
We’ve designed FME to tackle these exact issues, transforming your data chaos into a streamlined, efficient process. Join us for an introduction to All Data Enterprise Integration and discover how FME can be your game-changer.
During this webinar, you’ll learn:
- Why Data Integration Matters: How FME can streamline your data process.
- The Role of Spatial Data: Why spatial data is crucial for your organization.
- Connecting & Viewing Data: See how FME connects to your data sources, with a flash demo to showcase.
- Transforming Your Data: Find out how FME can transform your data to fit your needs. We’ll bring this process to life with a demo leveraging both geometry and attribute validation.
- Automating Your Workflows: Learn how FME can save you time and money with automation.
Don’t miss this chance to learn how FME can bring your data integration strategy to life, making your workflows more efficient and saving you valuable time and resources. Join us and take the first step toward a more integrated, efficient, data-driven future!
MySQL InnoDB Storage Engine: Deep Dive - MydbopsMydbops
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• Instant ADD/DROP Columns: Say goodbye to costly table rebuilds! This presentation unveils how InnoDB now enables seamless addition and removal of columns without compromising data integrity or incurring downtime.
Key Learnings:
• Grasp the concept of REDO logs and their significance in InnoDB's transaction management.
• Discover the advantages of dynamic REDO log configuration and how to leverage it for optimal performance.
• Understand the inner workings of instant ADD/DROP columns and their impact on database operations.
• Gain valuable insights into the row versioning mechanism that empowers instant column modifications.
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The document discusses fundamentals of software testing including definitions of testing, why testing is necessary, seven testing principles, and the test process. It describes the test process as consisting of test planning, monitoring and control, analysis, design, implementation, execution, and completion. It also outlines the typical work products created during each phase of the test process.
Communications Mining Series - Zero to Hero - Session 2DianaGray10
This session is focused on setting up Project, Train Model and Refine Model in Communication Mining platform. We will understand data ingestion, various phases of Model training and best practices.
• Administration
• Manage Sources and Dataset
• Taxonomy
• Model Training
• Refining Models and using Validation
• Best practices
• Q/A
New ThousandEyes Product Features and Release Highlights: June 2024
ch02.pdf
1. IT for Management: On-Demand Strategies for
Performance, Growth, and Sustainability
Eleventh Edition
Turban, Pollard, Wood
Chapter 2
Information Systems, IT Architecture, Data
Governance, and Cloud Computing
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