This presentation explains Information Governance. Learn what it takes to improve the value of information, manage information risks, and reduce information costs.
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
Learning Objectives:
- Understand the business need for a data governance framework
- Learn why embedded data quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data driven culture
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
Learning Objectives:
- Understand the business need for a data governance framework
- Learn why embedded data quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data driven culture
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
The Role of Data Governance in a Data StrategyDATAVERSITY
A Data Strategy is a plan for moving an organization towards a more data-driven culture. A Data Strategy is often viewed as a technical exercise. A modern and comprehensive Data Strategy addresses more than just the data; it is a roadmap that defines people, process, and technology. The people aspect includes governance, the execution and enforcement of authority, and formalization of accountability over the management of the data.
In this RWDG webinar, Bob Seiner will share where Data Governance fits into an effective Data Strategy. As part of the strategy, the program must focus on the governance of people, process, and technology fixated on treating and leveraging data as a valued asset. Join us to learn about the role of Data Governance in a Data Strategy.
Bob will address the following in this webinar:
- A structure for delivery of a Data Strategy
- How to address people, process, and technology in a Data Strategy
- Why Data Governance is an important piece of a Data Strategy
- How to include Data Governance in the structure of the policy
- Examples of how governance has been included in a Data Strategy
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
This introduction to data governance presentation covers the inter-related DM foundational disciplines (Data Integration / DWH, Business Intelligence and Data Governance). Some of the pitfalls and success factors for data governance.
• IM Foundational Disciplines
• Cross-functional Workflow Exchange
• Key Objectives of the Data Governance Framework
• Components of a Data Governance Framework
• Key Roles in Data Governance
• Data Governance Committee (DGC)
• 4 Data Governance Policy Areas
• 3 Challenges to Implementing Data Governance
• Data Governance Success Factors
How to Implement Data Governance Best PracticeDATAVERSITY
Data Governance Best Practice is defined as basis and guidelines for suggested governing activities. Organizations define best practices to be used as a point of comparison when determining their readiness, willingness and actions necessary to put a Data Governance program in place. But what are the best practices and how can they be implemented? This webinar will address these questions and more.
In this RWDG webinar, Bob Seiner will talk about how to create, validate, assess and implement Data Governance Best Practice with immediate impact on present and future Data Governance activities. The result of a Best Practice assessment is a thorough actionable plan focused on demonstrating value from your Data Governance program.This webinar will cover:
• Two Criteria for Data Governance Best Practice Development
• How to Assess against Best Practice to Build Program Success
• Examples of Industry Selected DG Best Practice
• How to Communicate DG Best Practice in a Non-Threatening Way
• How to Build DG Best Practice into Daily Operations
DAS Slides: Data Quality Best PracticesDATAVERSITY
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Advanced Analytics Governance - Effective Model Management and StewardshipDATAVERSITY
There’s been a shift toward digital business transformation with growing use of a broad spectrum of analytical capabilities (descriptive, diagnostic, predictive, prescriptive) to drive decision-making. Having a framework and overarching strategy for analytics governance is essential for data-driven organizations. Today’s advanced analytics and Business Intelligence (BI) professionals understand driving successful governance is critical for developing consistent, trusted, transparent, and effectively utilized analytics.
Join this webinar to learn best practices and vetted approaches for how to:
Ensure analytics governance is integrated with existing Data Governance processes, policies, operating model management, and Data Stewardship
Adapt governance best practices for different analytics use cases
Confirm alignment of your analytics and BI strategy with critical business objectives
Balance the rewards of digital technology and applied analytics with the compliance risks of new ethical rules, standards, and regulations
Driving Data Intelligence in the Supply Chain Through the Data Catalog at TJXDATAVERSITY
Roles and responsibilities are a critical component of every Data Governance program. Building a set of roles that are practical and that will not interfere with people’s “day jobs” is an important consideration that will influence how well your program is adopted. This tutorial focuses on sharing a proven model guaranteed to represent your organization.
Join Bob Seiner for this lively webinar where he will dissect a complete Operating Model of Roles and Responsibilities that encompasses all levels of the organization. Seiner will detail the roles and describe the most effective way to associate people with the roles. You will walk out of this webinar with a model to apply to your organization.
In this session Bob will share:
- The five levels of Data Governance roles
- A proven Operating Model of Roles and Responsibilities
- How to customize the model to meet your requirements
- Setting appropriate role expectations
- How to operationalize the roles and demonstrate value
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
Introduction to DCAM, the Data Management Capability Assessment ModelElement22
DCAM is a model to assess data management capability within the financial industry. It was created by the EDM Council. This presentation provides an overview of DCAM and how financial institutions leverage DCAM to improve or establish their data management programs and meet regulatory requirements such as BCBS 239.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
ITS 833 – INFORMATION GOVERNANCEChapter 1 – The Onslaught of.docxvrickens
ITS 833 – INFORMATION GOVERNANCE
Chapter 1 – The Onslaught of Big Data and Information Governance Imperative
Dr. Omar Mohamed
Copyright Omar Mohamed 2019
1
1
CHAPTER GOALS AND OBJECTIVES
Define or identify what is meant by “Big Data”
What is the practical effects and problems associated with Big Data
Solution
to the Big Data problem
Defining Information Governance (“IG”)
Why we do not incorporate IG into everyday business
Advantage of IG
Effects of not incorporating IG
General approach to implementing IG
Copyright Omar Mohamed 2019
2
2
What is “Big Data”?
It is a business asset capable of being leveraged.
“High-volume, high-velocity and high-variety information that demands cost-effective innovative forms of information processing for enhanced insight and decision making”
A combination of both structured and unstructured data that is so massive that it cannot be processed using today’s database tools and analytical software techniques.
Copyright Omar Mohamed 2019
3
3
What is the practical effect of “Big Data”?
Whether or not a business enterprise will be able to sustain a competitive advantage will depend on the business’ ability to manipulate the large amount of data in a way that it to differentiate itself.
Estimates are that 90% of the data existing today was created over the pat two years.
Big Data and related technology and services are projected to grow at a compound annual rate of approximately 27% - leading to new opportunities for data mining and business intelligence.
Copyright Omar Mohamed 2019
4
4
Issues Related to Big Data
Expense –Only about 25% of data stored has real business value, 5% more is required to be maintained for legal reasons, 1% retained due to litigation hold, leaving about 69% with no real value.
A great deal of irrelevant information
Increased storage costs
System failures
Legal costs
Conversion costs
Copyright Omar Mohamed 2019
5
5
SOLUTION TO BIG DATA PROBLEMS?
Information Governance
Rigid
Enforced
Creates a smaller “information footprint”
Allows business to more easily find what they need and derive business value from it
Copyright Omar Mohamed 2019
6
6
So…What is “Information Governance”?
It is discipline that emerged out of necessity…
Subset of corporate governance
Merged from records management, content management, information technology, data governance, information security, data privacy, risk management, litigation readiness, regulatory compliance, data preservation and business intelligence
It is the way by which an organization manages the totality of its information
A strategic framework composed of standards, processes, roles, and metrics that hold organizations and individuals accountable to create, organize, secure, maintain, use and dispose of information in ways that align with and contribute to the organizations goals. (Association of Records Management and Administrators)Glossary of Records and Information Management Terms, 4th Ed., 2012, TR 22-201 ...
Information Governance, Managing Data To Lower Risk and Costs, and E-Discover...David Kearney
Information governance, records and information management, and data disposition policies are ways to help lower costs and mitigate risks for organizations. Policies and procedures to actively manage data are not just an IT "problem," they're a collaborative business initiative that is a must in today's "big data" environment. With electronic discovery rules, government regulations and the Sarbanes-Oxley Act, all organizations must proactively take steps to manage their data with well-governed processes and controls, or be willing to face the risks and costs that come along with keeping everything. Organizations must know what information they have, where it is located, the duration data must be retained and what information would be needed when responding to an event.
There have been numerous instances of severe legal penalties for organizations that did not have an electronic data strategy, tools, processes and controls to locate and understand their own data. In addition, the risks of unmanaged data include skyrocketing infrastructure and personnel costs and an increase in attorney time to manage massive amounts of data when a litigation event occurs.
Information governance is needed much like any business continuity and disaster recovery plans, but with an understanding of data: where data are located, how data are managed, event response, and regular testing of processes and procedures for preparedness.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
The Role of Data Governance in a Data StrategyDATAVERSITY
A Data Strategy is a plan for moving an organization towards a more data-driven culture. A Data Strategy is often viewed as a technical exercise. A modern and comprehensive Data Strategy addresses more than just the data; it is a roadmap that defines people, process, and technology. The people aspect includes governance, the execution and enforcement of authority, and formalization of accountability over the management of the data.
In this RWDG webinar, Bob Seiner will share where Data Governance fits into an effective Data Strategy. As part of the strategy, the program must focus on the governance of people, process, and technology fixated on treating and leveraging data as a valued asset. Join us to learn about the role of Data Governance in a Data Strategy.
Bob will address the following in this webinar:
- A structure for delivery of a Data Strategy
- How to address people, process, and technology in a Data Strategy
- Why Data Governance is an important piece of a Data Strategy
- How to include Data Governance in the structure of the policy
- Examples of how governance has been included in a Data Strategy
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
This introduction to data governance presentation covers the inter-related DM foundational disciplines (Data Integration / DWH, Business Intelligence and Data Governance). Some of the pitfalls and success factors for data governance.
• IM Foundational Disciplines
• Cross-functional Workflow Exchange
• Key Objectives of the Data Governance Framework
• Components of a Data Governance Framework
• Key Roles in Data Governance
• Data Governance Committee (DGC)
• 4 Data Governance Policy Areas
• 3 Challenges to Implementing Data Governance
• Data Governance Success Factors
How to Implement Data Governance Best PracticeDATAVERSITY
Data Governance Best Practice is defined as basis and guidelines for suggested governing activities. Organizations define best practices to be used as a point of comparison when determining their readiness, willingness and actions necessary to put a Data Governance program in place. But what are the best practices and how can they be implemented? This webinar will address these questions and more.
In this RWDG webinar, Bob Seiner will talk about how to create, validate, assess and implement Data Governance Best Practice with immediate impact on present and future Data Governance activities. The result of a Best Practice assessment is a thorough actionable plan focused on demonstrating value from your Data Governance program.This webinar will cover:
• Two Criteria for Data Governance Best Practice Development
• How to Assess against Best Practice to Build Program Success
• Examples of Industry Selected DG Best Practice
• How to Communicate DG Best Practice in a Non-Threatening Way
• How to Build DG Best Practice into Daily Operations
DAS Slides: Data Quality Best PracticesDATAVERSITY
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Advanced Analytics Governance - Effective Model Management and StewardshipDATAVERSITY
There’s been a shift toward digital business transformation with growing use of a broad spectrum of analytical capabilities (descriptive, diagnostic, predictive, prescriptive) to drive decision-making. Having a framework and overarching strategy for analytics governance is essential for data-driven organizations. Today’s advanced analytics and Business Intelligence (BI) professionals understand driving successful governance is critical for developing consistent, trusted, transparent, and effectively utilized analytics.
Join this webinar to learn best practices and vetted approaches for how to:
Ensure analytics governance is integrated with existing Data Governance processes, policies, operating model management, and Data Stewardship
Adapt governance best practices for different analytics use cases
Confirm alignment of your analytics and BI strategy with critical business objectives
Balance the rewards of digital technology and applied analytics with the compliance risks of new ethical rules, standards, and regulations
Driving Data Intelligence in the Supply Chain Through the Data Catalog at TJXDATAVERSITY
Roles and responsibilities are a critical component of every Data Governance program. Building a set of roles that are practical and that will not interfere with people’s “day jobs” is an important consideration that will influence how well your program is adopted. This tutorial focuses on sharing a proven model guaranteed to represent your organization.
Join Bob Seiner for this lively webinar where he will dissect a complete Operating Model of Roles and Responsibilities that encompasses all levels of the organization. Seiner will detail the roles and describe the most effective way to associate people with the roles. You will walk out of this webinar with a model to apply to your organization.
In this session Bob will share:
- The five levels of Data Governance roles
- A proven Operating Model of Roles and Responsibilities
- How to customize the model to meet your requirements
- Setting appropriate role expectations
- How to operationalize the roles and demonstrate value
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
Introduction to DCAM, the Data Management Capability Assessment ModelElement22
DCAM is a model to assess data management capability within the financial industry. It was created by the EDM Council. This presentation provides an overview of DCAM and how financial institutions leverage DCAM to improve or establish their data management programs and meet regulatory requirements such as BCBS 239.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
ITS 833 – INFORMATION GOVERNANCEChapter 1 – The Onslaught of.docxvrickens
ITS 833 – INFORMATION GOVERNANCE
Chapter 1 – The Onslaught of Big Data and Information Governance Imperative
Dr. Omar Mohamed
Copyright Omar Mohamed 2019
1
1
CHAPTER GOALS AND OBJECTIVES
Define or identify what is meant by “Big Data”
What is the practical effects and problems associated with Big Data
Solution
to the Big Data problem
Defining Information Governance (“IG”)
Why we do not incorporate IG into everyday business
Advantage of IG
Effects of not incorporating IG
General approach to implementing IG
Copyright Omar Mohamed 2019
2
2
What is “Big Data”?
It is a business asset capable of being leveraged.
“High-volume, high-velocity and high-variety information that demands cost-effective innovative forms of information processing for enhanced insight and decision making”
A combination of both structured and unstructured data that is so massive that it cannot be processed using today’s database tools and analytical software techniques.
Copyright Omar Mohamed 2019
3
3
What is the practical effect of “Big Data”?
Whether or not a business enterprise will be able to sustain a competitive advantage will depend on the business’ ability to manipulate the large amount of data in a way that it to differentiate itself.
Estimates are that 90% of the data existing today was created over the pat two years.
Big Data and related technology and services are projected to grow at a compound annual rate of approximately 27% - leading to new opportunities for data mining and business intelligence.
Copyright Omar Mohamed 2019
4
4
Issues Related to Big Data
Expense –Only about 25% of data stored has real business value, 5% more is required to be maintained for legal reasons, 1% retained due to litigation hold, leaving about 69% with no real value.
A great deal of irrelevant information
Increased storage costs
System failures
Legal costs
Conversion costs
Copyright Omar Mohamed 2019
5
5
SOLUTION TO BIG DATA PROBLEMS?
Information Governance
Rigid
Enforced
Creates a smaller “information footprint”
Allows business to more easily find what they need and derive business value from it
Copyright Omar Mohamed 2019
6
6
So…What is “Information Governance”?
It is discipline that emerged out of necessity…
Subset of corporate governance
Merged from records management, content management, information technology, data governance, information security, data privacy, risk management, litigation readiness, regulatory compliance, data preservation and business intelligence
It is the way by which an organization manages the totality of its information
A strategic framework composed of standards, processes, roles, and metrics that hold organizations and individuals accountable to create, organize, secure, maintain, use and dispose of information in ways that align with and contribute to the organizations goals. (Association of Records Management and Administrators)Glossary of Records and Information Management Terms, 4th Ed., 2012, TR 22-201 ...
Information Governance, Managing Data To Lower Risk and Costs, and E-Discover...David Kearney
Information governance, records and information management, and data disposition policies are ways to help lower costs and mitigate risks for organizations. Policies and procedures to actively manage data are not just an IT "problem," they're a collaborative business initiative that is a must in today's "big data" environment. With electronic discovery rules, government regulations and the Sarbanes-Oxley Act, all organizations must proactively take steps to manage their data with well-governed processes and controls, or be willing to face the risks and costs that come along with keeping everything. Organizations must know what information they have, where it is located, the duration data must be retained and what information would be needed when responding to an event.
There have been numerous instances of severe legal penalties for organizations that did not have an electronic data strategy, tools, processes and controls to locate and understand their own data. In addition, the risks of unmanaged data include skyrocketing infrastructure and personnel costs and an increase in attorney time to manage massive amounts of data when a litigation event occurs.
Information governance is needed much like any business continuity and disaster recovery plans, but with an understanding of data: where data are located, how data are managed, event response, and regular testing of processes and procedures for preparedness.
ITS 833 – INFORMATION GOVERNANCEChapter 2 – Information Go.docxvrickens
ITS 833 – INFORMATION
GOVERNANCE
Chapter 2 – Information Governance, IT Governance, Data Governance: What’s the Difference?
Copyright Omar Mohamed 2019
1
1
CHAPTER GOALS AND OBJECTIVES
Distinguish between Data Governance, Information Governance and Information Technology Governance and be able to define or explain each
How to increase the likelihood of success of a data governance program
Identify IT Governance Frameworks
Identify the impact of a successful IG program
Copyright Omar Mohamed 2019
2
What is “Data Governance”?
Includes processes and controls to ensure that information at the data level – raw data- is true, accurate and unique.
Involves data cleansing and de-duplication
Focus is on information quality
Hybrid quality control discipline
Data quality
Data management
IG policy development
Business process improvement
Compliance
Risk Management
Copyright Omar Mohamed 2019
3
3
How can you improve data governance success ?
Identify a measurable impact
Assign accountability for data quality to a business unit
Recognize the uniqueness of data as an asset
Forget the past-use a forward going strategy
Management the Change
Copyright Omar Mohamed 2019
4
WHAT IS INFORMATION TECHNOLOGY GOVERNANCE?
Primary way that stakeholders can ensure that investments in IT create business value and contribute to business objectives
Function to improve IT performance and deliver optimum business value and ensure regulatory compliance
Focus is on making IT efficient and effective
Copyright Omar Mohamed 2019
5
5
IT Governance Framework(s)
CobiT® - Control Objective for Information and Related Technology
ValIT®
ITIL
ISO/IEC38500:2008
Copyright Omar Mohamed 2019
6
6
CobIT®
Three Basic Organizational Levels/Responsibilities
Board of Directors and Executive Management
IT and Business Management
Line-Level Governance
Divided into four (4) IT Domains
Plan and Organize
Acquire and Implement
Deliver and Support
Monitor and Evaluate
Includes 34 processes and 210 Control Objectives
ISO 17799
Compatible with IT Infrastructure Library (ITIL)
Process oriented IT governance framework
Codeveloped by IT Governance Institute and ISACA
Focus on:
Business Risks
Control Requirements
Compliance
Technical Issues
Under continuous refinement
Copyright Omar Mohamed 2019
7
ValIT®
Value Oriented Framework
Compatible and complimentary with CobiT®
Focus is on leveraging IT investments for maximum value
40 Essential Management Practices (same as CobiT® control objectives)
Supports three processes:
Value Governance
Portfolio Management
Investment Management
Copyright Omar Mohamed 2019
8
8
ITIL – Information Technology Infrastructure Library
Process Oriented
Developed in United Kingdom
Applicable to both public and private sector
Most widely accepted approach to IT service management in the world
Focus is on providing guidance to organizations on how to use IT as a tool to facilitate business change, transformation and growth
Foundation for ISO/IEC ...
This session described changes to the AIIM CIP program, reviewed the outline of the 2016 CIP exam, described how to participate in the beta program, and how to register for, prepare for, and maintain the CIP through CEUs.
Content analytics is using rules, mathematical, statistical, and semantic models to automate how content is captured, analyzed, and governed over its lifecycle
Artificial Intelligence - intersection with compliance. How AI principles work with compliance principles around data protection. AI and Compliance. AI - SYSC 13.7 - FCA Compliance. AI and regulation. AI and FCA regulation. AI and ICO regulation.
Preparing for GDPR: General Data Protection Regulation - Stakeholder Presenta...Qualsys Ltd
Preparing for the new General Data Protection Regulation? Here is a presentation to help you to engage your employees with their new information security requirements. In this ppt presentation, you will find out: why GDPR, steps to manage compliance, important information security facts and some of the key articles.
Bridging the Gap between Privacy and Security: Using Technology to Manage Com...IBM Security
Data breach and Cybersecurity incident reporting regulations are becoming more widespread. The introduction of GDPR in May 2018, with its 72-hour reporting requirement, resulted in organizations having to review their incident response processes and more regional and industry-specific regulations are being introduced all the time. Security Operations and Privacy teams need to be aligned to meet these new requirements. Technology such as Security Orchestration and Automation is also being adopted to collaborate on the investigation and remediation of security incidents.
This webinar, hosted by Privacy experts from Ovum and IBM, will look at how technology can close the gap between Privacy and Security to reduce the time to contain incidents and maintain compliance with complex breach laws.
View the recording: https://event.on24.com/wcc/r/1930112/BE462033358FFF36C4B27F76C9755753?partnerref=LI
IT Governance and Compliance: Its Importance and the Best Practices to Follow...GrapesTech Solutions
With new technology coming in every day, the need for IT governance and compliance is essential. IT governance and compliance are not only necessary for consumers but also for businesses. A strong IT governance plan can help add immense value to your business.
Many businesses are not aware of the importance of IT governance and Its Compliance. Hence it is important first to understand IT Governance and the Compliance Standards.
Explore the Significance of IT Governance and Compliance in 2024. Explore best practices for effective management, ensuring security, and meeting regulatory standards in the dynamic IT landscape.
[Webinar Slides] Data Explosion in Your Organization? Harness It with a Compr...AIIM International
Check out these webinar slides to learn the latest ways Office 365 is providing the tools to develop and implement a modern records management strategy to take charge of the data explosion.
Want to follow along with the webinar replay? Download it here for FREE: https://info.aiim.org/data-explosion-in-your-organization-harness-it-with-a-comprehensive-records-management-strategy
We are seeing a massive change in how organizations identify, procure, and implement solutions. This changes the role of the B2B sales rep. Learn how to be ready for the change.
Smartphones are changing customer and staff behavior. Information needs to be aware from everywhere, at anytime, and from any device. But don't do random acts of mobile - consider instead the strategic role of mobile for your staff and customers.
Riding the wave of socal media to grow your businessAtle Skjekkeland
This presentation will guide you through some tips and tricks for engaging in the social media world, with the intention of growing your business, not just sharing your photos and what you ate last night.
This presentation describes how you can use social technologies to transform key business processes, but also required governance to reduce risks. For more information www.aiim.org
Become a Certified Information Professional (CIP), AIIM's newly-launched certification. Earning this designation demonstrates your ability to solve an organization's existing information-related problems as well as plan for the future.
This presentation provides you with an overview of how to implement Electronic Records Management (ERM) according to ISO15489. The slides are from AIIM's ERM Specialist and Master Certificate Programs. For more information visit www.aiim.org/training
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
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Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
https://viralsocialtrends.com/vat-registration-outlined-in-uae/
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
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What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
You should also try to outline a model for information governance. There are many governance models out there, and this shows the IBM Data Governance Council Maturity Model.Pick the ideal, target governance model for your organizationIdentify aspects of governance that will provide immediate value We will, in the other modules of this governance course, cover this in more detail.