A consistent and uniform set of identifiers and attributes that describe the core entities of the enterprise, and are used across multiple business processes.
Enterprise-Level Preparation for Master Data Management.pdfAmeliaWong21
Master Data Management (MDM) continues to play a foundational role in the Data Management Architecture of every 21st century enterprise. In a forward-looking organization, MDM is significant in the Enterprise Integration Hub.
Leading enterprise-scale big data business outcomesGuy Pearce
A talk specially prepared for McMaster University. There is more benefit to thinking about big data as a paradigm rather than as a technology, as it helps shape these projects in the context of resolving some of the enterprise's greatest challenges, including its competitive positioning. This approach integrates the operating model, the business model and the strategy in the solution, which improves the ability of the project to actually deliver its intended value. I support this position with a case study that created audited financial value for a major global bank.
Developing & Deploying Effective Data Governance FrameworkKannan Subbiah
This is the slide deck presented at the Customer Privacy and Data Protection India Summit 2019 held in Mumbai, India. The specific topics touched upon are the guiding principles, Aligning with Data Architecture, Data Quality & Compliance.
Enterprises are faced by information overload. Big data appears as an opportunity, but has no relevance until enterprises can put it in context of their activities, processes, and organizations, Applying MDM principles to Big Data is therefore an opportunity that enterprises should target.
This presentation covers the following topics :
- what is MDM and Information Management
- what is Big Data and what are the use cases
- why and how Big Data can take advantage of MDM ? why and how MDM can take advantage of Big Data ?
Enterprise-Level Preparation for Master Data Management.pdfAmeliaWong21
Master Data Management (MDM) continues to play a foundational role in the Data Management Architecture of every 21st century enterprise. In a forward-looking organization, MDM is significant in the Enterprise Integration Hub.
Leading enterprise-scale big data business outcomesGuy Pearce
A talk specially prepared for McMaster University. There is more benefit to thinking about big data as a paradigm rather than as a technology, as it helps shape these projects in the context of resolving some of the enterprise's greatest challenges, including its competitive positioning. This approach integrates the operating model, the business model and the strategy in the solution, which improves the ability of the project to actually deliver its intended value. I support this position with a case study that created audited financial value for a major global bank.
Developing & Deploying Effective Data Governance FrameworkKannan Subbiah
This is the slide deck presented at the Customer Privacy and Data Protection India Summit 2019 held in Mumbai, India. The specific topics touched upon are the guiding principles, Aligning with Data Architecture, Data Quality & Compliance.
Enterprises are faced by information overload. Big data appears as an opportunity, but has no relevance until enterprises can put it in context of their activities, processes, and organizations, Applying MDM principles to Big Data is therefore an opportunity that enterprises should target.
This presentation covers the following topics :
- what is MDM and Information Management
- what is Big Data and what are the use cases
- why and how Big Data can take advantage of MDM ? why and how MDM can take advantage of Big Data ?
The 6 Steps to Becoming a Top-Performing Organization in Managing IT OperationsOpsRamp
Join OpsRamp and Bojan Simic, Founder and Chief Analyst at The Digital Enterprise Journal, for an insightful discussion on how top-performing IT organizations have successfully redefined the role of IT operations, including:
- Deploying platforms for greater operational intelligence
- Modernizing IT incident management strategies
- Incorporating automation into everything ITOps
- Taking a customer-centric approach to managing IT
https://www.brighttalk.com/webcast/17791/378577?utm_source=OpsRamp&utm_medium=brighttalk&utm_campaign=378577
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
The article is intended as a quick overview of what effective master data management means in today’s business context in terms of risks, challenges and opportunities for companies and decision makers. The article is structured in two main areas, which cover in turn the importance of an effective master data
management implementation and the methodology to get there.
Master Data Management's Place in the Data Governance Landscape CCG
For many organizations, Master Data Management is a necessity to ensure consistency and accuracy of essential business entities. It further plays alongside data architecture, metadata management, data quality, security & privacy, and program management in the Data Governance ecosystem.
Join CCG's data governance subject matter experts as they overview the fundamentals of Master Data Management at our Atlanta-based Data Analytics Meetup. This event will discuss how to enable components of data governance within your organization and review how to best leverage Microsoft's SQL Server Master Data Services.
IT and business leaders must increase their efforts to evolve from traditional BI tools, that focus on descriptive analysis (what happened), to advanced analytical technologies, that can answer questions like “why did it happen”, “what will happen” and “what should I do”.
"While the basic analytical technologies provide a general summary of the data, advanced analytical technologies deliver deeper knowledge of information data and granular data.” - Alexander Linden, Gartner Research Director
The reward of a smarter decision making process, based on Data Intelligence, is a powerful driver to improve overall business performance.
Wiseminer is the only and most efficient end-to-end Data Intelligence software to help you make smarter decisions and drive business results.
Contact us: info@wiseminer.com
The C-level executives are puzzled and rightfully so, as to why MDM/CDI projects are so complex, time consuming and expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the current maturity level of MDM/CDI technologies. It is in this context that this presentation makes an attempt to provide a direction with TWENTY FIVE golden rules, distilled with years of experience to clear the path for any MDM/CDI implementation.
This presentation contains our view on how data can be Strategically managed and stewarded in an organization, and the categories where rules can be applied to facilitate that process.
Enterprise Data World Webinars: Master Data Management: Ensuring Value is Del...DATAVERSITY
Now that your organization has decided to move forward with Master Data Management (MDM), how do you make sure that you get the most value from your investment? In this webinar, we will cover the critical success factors of MDM that ensure your master data is used across the enterprise to drive business value. We cover:
· The key processes involved in mastering data
· Data Governance’s role in mastering data
· Leveraging data stewards to make your MDM program efficient
· How to extend MDM from one domain to multiple domains
· Ensuring MDM aligns to business goals and priorities
leewayhertz.com-AI in Master Data Management MDM Pioneering next-generation d...KristiLBurns
Master data refers to the critical, core data within an enterprise that is essential for conducting business operations and making informed decisions. This data encompasses vital information about the primary entities around which business transactions revolve and generally changes infrequently. Master data is not transactional but rather plays a key role in defining and guiding transactions.
Bridging the Gap Between Business Objectives and Data StrategyRNayak3
Explore the fundamental elements of a robust data strategy that aligns with business objectives, from defining goals to prioritizing data architecture.
As businesses generate and manage vast amounts of data, companies have more opportunities to gather data, incorporate insights into business strategy and continuously expand access to data across the organisation. Doing so effectively—leveraging data for strategic objectives—is often easier said
than done, however. This report, Transforming data into action: the business outlook for data governance, explores the business contributions of data governance at organisations globally and across industries, the challenges faced in creating useful data governance policies and the opportunities to improve such programmes.
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
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 ...
Today's Chief Data Officer: 3 Types of CDOs, Key Challenges, and Opportunitie...Scott Richardson
In this presentation we examine the 3 types of Chief Data Officers that are common in the industry today. We discuss their responsibilities, key challenges, and present ideas for having an meaningful impact. A great overview of the CDO role and how this executive position can contribute to the success of your business.
3 Strategies to drive more data driven outcomes in financial servicesTamrMarketing
What are the main obstacles in the way of successful digital transformations within large financial organizations?
Read the blog and watch the full webinar here >> https://www.tamr.com/blog/webinar-3-strategies-to-drive-more-data-driven-outcomes-in-financial-services/
This new document explores how Accenture can help financial services firms use a holistic data-centric approach to compliance and to respond to the requirements and challenges to the General Data Protection Regulation. Learn more: https://accntu.re/2uq8ANV
The 6 Steps to Becoming a Top-Performing Organization in Managing IT OperationsOpsRamp
Join OpsRamp and Bojan Simic, Founder and Chief Analyst at The Digital Enterprise Journal, for an insightful discussion on how top-performing IT organizations have successfully redefined the role of IT operations, including:
- Deploying platforms for greater operational intelligence
- Modernizing IT incident management strategies
- Incorporating automation into everything ITOps
- Taking a customer-centric approach to managing IT
https://www.brighttalk.com/webcast/17791/378577?utm_source=OpsRamp&utm_medium=brighttalk&utm_campaign=378577
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
The article is intended as a quick overview of what effective master data management means in today’s business context in terms of risks, challenges and opportunities for companies and decision makers. The article is structured in two main areas, which cover in turn the importance of an effective master data
management implementation and the methodology to get there.
Master Data Management's Place in the Data Governance Landscape CCG
For many organizations, Master Data Management is a necessity to ensure consistency and accuracy of essential business entities. It further plays alongside data architecture, metadata management, data quality, security & privacy, and program management in the Data Governance ecosystem.
Join CCG's data governance subject matter experts as they overview the fundamentals of Master Data Management at our Atlanta-based Data Analytics Meetup. This event will discuss how to enable components of data governance within your organization and review how to best leverage Microsoft's SQL Server Master Data Services.
IT and business leaders must increase their efforts to evolve from traditional BI tools, that focus on descriptive analysis (what happened), to advanced analytical technologies, that can answer questions like “why did it happen”, “what will happen” and “what should I do”.
"While the basic analytical technologies provide a general summary of the data, advanced analytical technologies deliver deeper knowledge of information data and granular data.” - Alexander Linden, Gartner Research Director
The reward of a smarter decision making process, based on Data Intelligence, is a powerful driver to improve overall business performance.
Wiseminer is the only and most efficient end-to-end Data Intelligence software to help you make smarter decisions and drive business results.
Contact us: info@wiseminer.com
The C-level executives are puzzled and rightfully so, as to why MDM/CDI projects are so complex, time consuming and expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the current maturity level of MDM/CDI technologies. It is in this context that this presentation makes an attempt to provide a direction with TWENTY FIVE golden rules, distilled with years of experience to clear the path for any MDM/CDI implementation.
This presentation contains our view on how data can be Strategically managed and stewarded in an organization, and the categories where rules can be applied to facilitate that process.
Enterprise Data World Webinars: Master Data Management: Ensuring Value is Del...DATAVERSITY
Now that your organization has decided to move forward with Master Data Management (MDM), how do you make sure that you get the most value from your investment? In this webinar, we will cover the critical success factors of MDM that ensure your master data is used across the enterprise to drive business value. We cover:
· The key processes involved in mastering data
· Data Governance’s role in mastering data
· Leveraging data stewards to make your MDM program efficient
· How to extend MDM from one domain to multiple domains
· Ensuring MDM aligns to business goals and priorities
leewayhertz.com-AI in Master Data Management MDM Pioneering next-generation d...KristiLBurns
Master data refers to the critical, core data within an enterprise that is essential for conducting business operations and making informed decisions. This data encompasses vital information about the primary entities around which business transactions revolve and generally changes infrequently. Master data is not transactional but rather plays a key role in defining and guiding transactions.
Bridging the Gap Between Business Objectives and Data StrategyRNayak3
Explore the fundamental elements of a robust data strategy that aligns with business objectives, from defining goals to prioritizing data architecture.
As businesses generate and manage vast amounts of data, companies have more opportunities to gather data, incorporate insights into business strategy and continuously expand access to data across the organisation. Doing so effectively—leveraging data for strategic objectives—is often easier said
than done, however. This report, Transforming data into action: the business outlook for data governance, explores the business contributions of data governance at organisations globally and across industries, the challenges faced in creating useful data governance policies and the opportunities to improve such programmes.
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
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 ...
Today's Chief Data Officer: 3 Types of CDOs, Key Challenges, and Opportunitie...Scott Richardson
In this presentation we examine the 3 types of Chief Data Officers that are common in the industry today. We discuss their responsibilities, key challenges, and present ideas for having an meaningful impact. A great overview of the CDO role and how this executive position can contribute to the success of your business.
3 Strategies to drive more data driven outcomes in financial servicesTamrMarketing
What are the main obstacles in the way of successful digital transformations within large financial organizations?
Read the blog and watch the full webinar here >> https://www.tamr.com/blog/webinar-3-strategies-to-drive-more-data-driven-outcomes-in-financial-services/
This new document explores how Accenture can help financial services firms use a holistic data-centric approach to compliance and to respond to the requirements and challenges to the General Data Protection Regulation. Learn more: https://accntu.re/2uq8ANV
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.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
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.
"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."
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
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.
Explore our most comprehensive guide on lookback analysis at SafePaaS, covering access governance and how it can transform modern ERP audits. Browse now!
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
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.
3. Enterprise Information Management is Never Information
Enterprise Information Management (EIM) is about
Providing business value
Managing information (EIM) to provide business value
Setting up a business and IT program to manage information
EIM is an integrative discipline for structuring, describing and governing information assets across
organizational and technological boundaries.
2
4. Enterprise Information Management and the Information-Related Disciplines
Sales
Customer
Service
CEO
Marketing
Finance
…can be used to monitor performance and make decisions?
Enterprise Information Management (EIM) is about how information gets from a multitude of
sources to a multitude of consumers in a relevant, timely and consumable way?
…includes large volumes, variety, or high velocity data? Big Data
…can be used to draw conclusions and make predictions?
…can be consistent across business units and across time?
…is it clean enough and good enough to use?
…no ambiguity on who is accountable for what?
…can be enriched and reused?
Master Data
Mgt (MDM)
Business
Intelligence (BI)
Business
Analytics (BA)
Data Quality
(DQ)
Information
Governance
Metadata
Management
Smart
Machines
3
7. Why MDM
Different Hymn Sheets
Operations Customer Service
Ops
Process
Sales
Process
Mfg.
Process
Ops
Data
Sales
Data
Mfg.
Data
Before …
OR?
… After
Ops
Process
Sales
Process
Mfg.
Process
Ops Sales Mfg.
MDM
One Hymn Sheet
Operations Customer Service
6
8. Some Definitions
Widely shared among
organizational/functional units
Consistent across viewpoints
Foundational and valuable to
the operation and the business
Stable over time
Are worth
managing
Can be managed
Master Data Management: Technology-enabled discipline in which business and
the IT organization work together to ensure the uniformity, accuracy, stewardship,
semantic consistency, and accountability of the enterprise's official, shared
master data assets.
7
Master Data: A consistent and uniform set of identifiers and attributes that
describe the core entities of the enterprise, and are used across multiple business
processes.
11. Enterprise Information Management Framework
…?
Content
Master
Data
Analytic
Data
Other
Data
Social
Data
Information Governa e
nc
Enab re
astructu
fr
ling In
Information e
Life Cycl
Organization and Roles
cs
ri
Met
Strategy
Vision
Master Data Management
10
12. MDM Vision and Strategy Critical Vector – Implementation Styles
Consolidation
Nonintrusive to the business
BI is the business platform
Any industry
BI strategy depended
No attempt to clean up
source
Coexistence
Largest change to
information infrastructure
Greatest need to mirror data
Global and local governance
Greatest risk over control,
security
Focused on shared services
Registry Low control, autonomous
environments
Nonintrusive to edge
applications
Emphasis is on remote data
and application-to-
application integration
Distributed governance
Faster to implement than
coexistence and centralized
Centralized
Largest change to
application infrastructure
Hugely invasive to the
business
Centralized governance
Greatest control over access,
security
Focus on common services
Downstream reporting or
analytics
Large-scale distributed
model
High-control, top-down
environments
11
13. MDM Information Governance
Information
Governance
What Decisions
Have to Be Made
Who Makes
the Decisions
How Are Decisions
Made
Establish
Policy
12
Assign
Responsibility
Encourage
and Enforce
Information Governance establishes decision rights, and
assigns authority for MDM
14. MDM Organization and Roles
Architecture
Executive
Stewardship
Management
EIM Leader
Management and
Administration
Group
IA
Governance
Group
Steering
Committee
Sponsor
Data
StewDaartdas
S
t
e
wDa
ar
td
as
Stewards
Data
SteB
w
D
u
a
a
s
rd
tia
n
sess
R
S
t
e
e
p
w
r
a
e
r
s
d
e
s
n
t
a
-
tives
EIM
Manager
Implementation
Design Group Integration Group Storage Group Delivery Group
Organization and Roles forms the group and organizational
structures to implement MDM
13
15. MDM Information Life Cycle
Information Life Cycle depicts the flow of information and
activities where MDM is focused
14
16. MDM Enabling Infrastructure
Hybrid
Transaction Content
Specialized Capabilities
Describe Organize Govern Implement
Information Semantic Styles
Manage Metadata
Common Capabilities
Integrate Share
Social Documents Transactional IT/OT Image Audio Text Video Mobile Search
Data Engine
Analytics
Enabling Infrastructure provides the technology
capabilities to implement the EIM
15
17. The Role of Metadata
Semantic
Syntactic
Contextual
Identification
Discovery
Origin
Authority
Usage
Security
Store
Access
Disposition
Transformation
Lineage
Data Quality
Trust
16
19. Strategic Dilemmas
The answer to all
strategic EIM-related
dilemmas is “both.”
There are NO RIGHT OR
WRONG answers in EIM,
and the most powerful
factor is the reallocation
of authority and
movement of money.
Ultimately, EIM requires a
POLITICAL POWER
SHIFT in the organization.
18
20. Tactical Dilemmas
The answer to all
implementation EIM-
related dilemmas is “it
depends.”
There are NO RIGHT OR
WRONG answers in EIM,
and the most powerful
factor are the priority and
needs of the client.
Ultimately, EIM requires a
DELIBERATE and
ARCHITECTED approach
in the organization.
Data Quality
Speed
Historical
Operational
Unstructured
Structured
Agility
19
Consistency
Data
21. Commercial v. Public Sector
Business Case Revenue and Cost Mission and Value
Scope Value Chain and Company State and City Level; Agency
Domain GL; Employee; Location; Customer GL; Employee; Citizen
Risk Tolerant Averse
Sharing Promoted Restricted or Temporary
Security Technical Enablement Physical Data Vaults
Authority Process and Technology Enforced Policy Driven
Topology Multiple Registry
20
22. Critical Success Factors
21
Clear Vision and Tight Scope – Determine what you really want to achieve and what you need to
govern
Strong Leadership and Sponsorship – Identify and secure a business sponsor to promote the effort
and ensure the business stakeholder participation
Consisted and Objective Semantics – Strive for the “single version of the facts” and not for the
“single version of the truth”
Stratify Scope – Manage Semantics, Syntactic, and Instances differently at different levels of scope
Comprehensive Viewpoint – Design the strategy and target state to play the tradeoff among
governance, organization, processes, and technical infrastructure
Clear Communications in Business Terms – Express what the stakeholder will get out of it in their
terms
Tight Stakeholder Collaboration – Establish a common work environment and a cross-business/IT
team with the business leading and IT enabling
Pragmatic Approach – Follow the money, do what you can and not what you want
Respect the Culture – Minimize impact
24. MDM Business Drivers
6%
11%
9%
9%
11%
11%
6%
14%
17%
11%
9%
11%
11%
11%
11%
14%
11%
3% 3%
3% 3%
0%
3% 6%
6%
9%
9%
11%
20%
11%
17%
Drive innovation
Improve supplier or partner relations
Reduce time to market
Improve compliance and risk management
Cut costs/improve margins
Enhance decision making
Drive revenue growth
Improve customer relations/service
Create internal/operational efficiencies
Improve business process outcomes
Improve business process agility
0% 5%
Ranked 1st
10% 15%
Ranked 2nd
20% 25% 30% 35% 40% 45% 50%
Ranked 3rd
23
25. MDM Adoption
Defining business case &
objectives
19%
Gathering policy,
regulation & compliance
requirements
6%
Vendor selection or RFP
20%
Finding internal resources
to guide & champion
project(s)
9%
Early stage
implementation: just
initiated
9%
Piloting or prototype
6%
Mid-stage
implementation: partially
complete
11%
Single domain has been
been implemented & now
working on other
domain(s)
6%
Current deployment is
fully operational (multi-
domain – one MDM
solution)
3%
Undergoing a redesign of
existing operations
11%
24
26. MDM Deployment
Custom built
(or plan to
build) our
own solution
6%
Built (or
plan to
build)
around a
purchased
MDM
component
(with or
without
other tools
like DQ, DI)
31%
Purchased
(or plan to
purchase) a
complete
MDM
technology
solution
26%
Purchased
or built
around
several
MDM
products
and/or
solution
17%
Subscription
or third-
party
solution
3%
Cloud-
based MDM
technology
6%
Don’t know
11% Users in IT
9%
Users in a
Shared
Service
reporting to
IT
3%
Users in a
Shared
Service
reporting to
the
business
11%
Shared
between IT
and
business
39%
Users in the
business
29%
Not yet fully
established
9%
25
Technology Solutions Stewardship Responsibility