Slides of the webinar presented July 10th. The audio can be accessed at : http://www.dataversity.net/webinar-increasing-business-data-analytics-maturity-2/
The Rise of People Management AnalyticsMario Faria
Data is now as integral to our 21st century economy as oil has been for many decades. With the power of data and analytics, several organizations are rethinking their business strategy completely.
However, when we look at data and analytics from an HR or people management perspective, there are some untapped opportunities to make data-driven decisions. What are some of these opportunities? Does a culture change need to happen to positively impact your company’s bottom-line?
This is the material I used at my session at the Great Place to Work Institute in Canada, on April 2015.
I discussed these questions and share case studies on how some organizations are now using their second most important asset (data) to manage their most important asset (people).
3 Steps to Becoming a Successful Chief Data OfficerMario Faria
Presentation delivered at the Enteprise Data Leadership Summit, in Chicago March-2014
Mario Faria, Head of Chief Data Officer, Inc., a consulting and advisory services company, based in Seattle, WA
Using Lean Principles to Manage the Data Value ChainMario Faria
Creating and managing a data office is not an easy task. The reasons for so many problems in streamlining a data strategy come from lack of data ownership, lack of a data roadmap and the data processes not clearly defined.
Using the Lean Principles that come from the Toyota Production System is one method that has been proved to be quite successful.
This session delivered for the Data Quality Pro Summit explores how it can be done.
Acting on Analytics - How to Build a Data-Driven Enterprise - Brighttalk webi...Mario Faria
Big Data and Analytics have become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. However, there is one component that can halt any initiative: YOUR COMPANY's ANALYTICS MATURITY.
How prepared is your company to implement and use the available data, the high end modeling techniques and the data as well as analytics expertise?
From what I have learned and experienced, companies are still not adequately prepared, hurting their ability to compete in the market.
This presentation will help executives and data professionals to understand the steps needed to create an analytics organization, and provide some real life examples on companies who succeeded and some who failed miserably.
The Chief Data Officer - quotes from data & analytics thought leadersMario Faria
Data & Analytics have become so important on how business are differentiating themselves in the marketplace. With the help from the most well recognized data leaders of our time, I have put together their thoughts in this material. By sharing our thinking, we want companies to understand what it takes to become a data-driven organization.
The Data Driven Business Attributes 2nd big data summit nov 2013Mario Faria
The document discusses the data driven business and importance of analytics. It notes that while data access is easy, transforming data into useful insights in a timely manner is challenging. The presentation emphasizes that people, processes, organizational change management, and data/technology architecture are key to achieving analytical success, not just tools and data alone. Analytics can help drive business maturity when the whole organization is aligned.
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
The Rise of People Management AnalyticsMario Faria
Data is now as integral to our 21st century economy as oil has been for many decades. With the power of data and analytics, several organizations are rethinking their business strategy completely.
However, when we look at data and analytics from an HR or people management perspective, there are some untapped opportunities to make data-driven decisions. What are some of these opportunities? Does a culture change need to happen to positively impact your company’s bottom-line?
This is the material I used at my session at the Great Place to Work Institute in Canada, on April 2015.
I discussed these questions and share case studies on how some organizations are now using their second most important asset (data) to manage their most important asset (people).
3 Steps to Becoming a Successful Chief Data OfficerMario Faria
Presentation delivered at the Enteprise Data Leadership Summit, in Chicago March-2014
Mario Faria, Head of Chief Data Officer, Inc., a consulting and advisory services company, based in Seattle, WA
Using Lean Principles to Manage the Data Value ChainMario Faria
Creating and managing a data office is not an easy task. The reasons for so many problems in streamlining a data strategy come from lack of data ownership, lack of a data roadmap and the data processes not clearly defined.
Using the Lean Principles that come from the Toyota Production System is one method that has been proved to be quite successful.
This session delivered for the Data Quality Pro Summit explores how it can be done.
Acting on Analytics - How to Build a Data-Driven Enterprise - Brighttalk webi...Mario Faria
Big Data and Analytics have become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. However, there is one component that can halt any initiative: YOUR COMPANY's ANALYTICS MATURITY.
How prepared is your company to implement and use the available data, the high end modeling techniques and the data as well as analytics expertise?
From what I have learned and experienced, companies are still not adequately prepared, hurting their ability to compete in the market.
This presentation will help executives and data professionals to understand the steps needed to create an analytics organization, and provide some real life examples on companies who succeeded and some who failed miserably.
The Chief Data Officer - quotes from data & analytics thought leadersMario Faria
Data & Analytics have become so important on how business are differentiating themselves in the marketplace. With the help from the most well recognized data leaders of our time, I have put together their thoughts in this material. By sharing our thinking, we want companies to understand what it takes to become a data-driven organization.
The Data Driven Business Attributes 2nd big data summit nov 2013Mario Faria
The document discusses the data driven business and importance of analytics. It notes that while data access is easy, transforming data into useful insights in a timely manner is challenging. The presentation emphasizes that people, processes, organizational change management, and data/technology architecture are key to achieving analytical success, not just tools and data alone. Analytics can help drive business maturity when the whole organization is aligned.
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
Como criar e gerenciar com sucesso uma organização de dadosDATAVERSITY
The document provides an overview of creating and managing a successful data organization. It discusses the evolution of business intelligence and big data, and some current issues organizations face with data management. It recommends establishing a chief data officer role to oversee the data value chain and foundations of the data team, including data strategy, governance, quality and more. This will help create a formal process to manage data and enable effective analytics.
In many organizations and functional areas, data has pulled even with money in terms of what makes the proverbial world go round. As businesses struggle to cope with the 21st century’s newfound data flood, it is more important than ever before to prioritize data as an asset that directly supports business imperatives. However, while organizations across most industries make some attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. Data Quality), the results of these efforts frequently fall far below expectations. At the root of many of these failures is poor organizational Data Management—which fortunately is a remediable problem.
This webinar will cover three lessons, each illustrated with examples, that will help you establish realistic goals and benchmarks for Data Management processes and communicate their value to both internal and external decision-makers:
How organizational thinking must change to include value-added Data Management practices
The importance of walking before you run with data-focused initiatives
Prioritizing specification and Data Governance over “silver bullet” analytical tools
Discuss foundational data-centric concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
Data Leadership - Stop Talking About Data and Start Making an Impact!DATAVERSITY
<!-- wp:paragraph -->
<p>For any organization to be successful, whatever we do with data must connect to meaningful business improvements—and those must be measured. If current data efforts lack results or accountability, then Data Leadership is our answer.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>But Data Leadership isn’t really about the data at all. What makes Data Leadership so powerful is its ability to completely transform organizations. Going beyond traditional data management and governance, Data Leadership builds momentum and delivers the change we’ve long known our businesses need. Data Leadership helps us overcome the lingering data challenges our legacy approaches never will.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>This webinar will cover the key concepts of Data Leadership, and what anybody can do to start making a bigger impact for their teams and businesses. Whether your role today is large or small, Data Leadership will be essential to your future data success! </p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Key Learnings Include:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>What Data Value really is, and why creating it is the goal of everything we do with data</li><li>Introduction to the Data Leadership Framework</li><li>Why Data Leadership is fundamentally about balance</li><li>How to immediately start making a Data Leadership impact in your organization</li></ul>
<!-- /wp:list -->
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Lead Your Data Revolution - How to Build a Foundation of Trust and Data Gover...DATAVERSITY
<!-- wp:paragraph -->
<p>Becoming a data-driven organization is something many companies aspire to, but few are able to obtain. Let’s face it: Data is confusing. It is complicated, dirty, and spread out all over a business. While companies are making big investments in Data Management projects, only a few are seeing the payoff. </p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>New research from Experian shows that despite many ongoing data initiatives, 69 percent of organizations struggle to be data-driven. The struggles are real. Companies face a large data debt, look at data projects through a siloed lens, and still have a large volume of inaccurate data. In fact, 65 percent report inaccurate data is undermining key initiatives. <br></p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>However, the tide is turning. Businesses are starting to adopt data enablement, or a practice of empowering a larger group of individuals within the business to understand and harness the power of data and analytics. Companies that empower wider data usage are better able to comply with regulations, improve decision-making, and, of course, deliver a superior customer experience. Are these the results you’re striving for? </p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Join us to uncover new research from more than 500 Data Management practitioners as we take a deep dive into:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>The top challenges in becoming a data-driven organization </li><li>Trends and the rise of data enablement </li><li>The profile of a mature organization </li><li>Tips for how you can adopt data enablement practices</li></ul>
<!-- /wp:list -->
Keys to Creating an Analytics-Driven CultureDATAVERSITY
Changing company culture takes time, energy and focus, as well as consistent reinforcement long after the breakrooms’ company culture posters start to fade. Creating an analytics-driven culture may be even harder to grow and sustain. Yet the rewards are vast for companies whose culture embodies an analytics-first mindset – and for those who use the derived insights to improve operational efficiency and decision-making, generate new revenue and prevent risk and fraud.
This webinar will offer advice and real-world examples on how to:
Develop and utilize an analytics-focused vision statement
Engage senior leaders to support analytics as a business problem-solver
Communication best practices to engage participants in the culture change
Use tried-and-tested best practices and approaches to build an analytics-driven culture
Startup and Growth companies that have unique and compelling product ideas still need to find a strategic pathway towards building that vision into a final product. Designing and building features is just part of the puzzle and fast iterations are only helpful if you are gaining real and useful learning from those releases. Data strategy ensures that each product feature released is backed by data to measure its impact and effectiveness.
Mario Faria presents on helping HR professionals understand big data. He discusses the current situation of data fragmentation and complexity in organizations. Some common problems are lack of data ownership and governance. Hiring data professionals is challenging due to the variety of roles and skills required. The solution is to establish a chief data officer role to manage the people, processes, technology and methodology for a successful data and analytics program. HR and business leaders need to work together to attract and retain top data talent to help their organizations leverage data as a strategic asset.
Data Governance — Aligning Technical and Business ApproachesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, data governance consists of committee meetings and stewardship roles. To others, it focuses on technical data management and controls. Holistic data governance combines both of these aspects, and a robust data architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning data architecture & data governance for business and IT success.
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
Data governance exercises authority and control over the management of your mission critical assets and guides how all other data management functions are performed. When selling data governance to organizational management, it is useful to concentrate on the specifics that motivate the initiative. This means developing a specific vocabulary and set of narratives to facilitate understanding of the business objectives and imperatives that demand governance. This webinar also provides you with an understanding of what data governance functions are required and how they fit with other data management disciplines. Understanding these governance aspects is necessary to eliminate the ambiguity that often surrounds effective data governance and stewardship programs. The goal of governance is to manage the data that supports organizational strategy.
Takeaways:
•Understanding why data governance can be tricky for most organizations
•Steps for improving data governance within your organization
•Guiding principles & lessons learned
•Understanding foundational data governance concepts based on the DAMA DMBOK
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
Much like project team management and home improvement, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, Data Governance directs how all other Data Management functions are performed, meaning that much of your Data Management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective Data Management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management disciplines, and why Data Governance can be tricky for many organizations
Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
Provide direction for selling Data Governance to organizational management as a specifically motivated initiative
Discuss foundational Data Governance concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
The global pandemic returned digital transformation to the spotlight. The lockdown put every digital business model to the test. Some organizations proved agile and resilient, but most were sent back to the drawing board to reconstruct their digital and analytic foundations.
In response, the modern C-Suite is now being tightly knit into one digital whole, connected by a web of data and analytics.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA)-- outline the priorities of digital transformation in the modern C-Suite.
DataEd Slides: Getting Started with Data StewardshipDATAVERSITY
Getting Started with Data Stewardship focuses on defining data stewardship, explaining its importance, and providing guidance on how to implement it. Key points include: defining data stewardship terminology which is not widely known; noting the lack of agreed upon definitions and architectural context has led to confusion between IT, data, and business; and emphasizing that data strategy can provide focus for stewardship efforts by reducing redundant, obsolete, and trivial data. The presentation aims to explain why data stewardship is needed, how it relates to governance, and when to consider it in the software development lifecycle.
Increasing Your Business Data and Analytics MaturityDATAVERSITY
For a few years now, companies of all sizes have been looking at data as a lever to increase revenues, reduce costs or improve efficiency. However, we believe the power of using data as a strategic asset is still in its early stages. One of the main reasons for that is business leaders still do not understand that the data & analytics maturity should be seen as a long time journey and an evolving enterprise learning. This webinar will present some key points on how data management leaders can succeed in their mission by sharing some practical experiences.
2011 digital trends webinar presentationEconsultancy
The document outlines 7 digital trends for 2011, including joined-up marketing, organizational changes to adapt to digital, the rise of social media as a business and customer service tool, content marketing, the value of customer data analytics, the comeback of display advertising, and increased focus on localisation and location-based targeting. It provides examples and statistics on each trend and recommends related reports for further reading.
DataEd Slides: Data Governance StrategiesDATAVERSITY
Much like project management and home improvements, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance can be explained as “managing data with guidance.” In general, the perceived utility of these programs increases with the specificity of desired data and processing improvements. Whether restarting or starting your Data Governance programs, it is critical to be guided by a periodically revised Data Strategy that links support for organizational strategy to specific operational data improvements. Understanding these and other aspects of governance is necessary to eliminate the ambiguity that often surrounds the implementation of effective Data Management and stewardship programs.
This webinar will:
- Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management practice areas, and why Data Governance has been tricky for many organizations
- Illustrate the utility of a detailed focus and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
- Provide direction for selling Data Governance to organizational management as a specifically motivated initiative.
Learning Objectives:
- Reorient the focus of Data Governance to an improvable process
- Recognize guiding principles and lessons learned
- Understand foundational Data Governance concepts based on the DAMA DMBOK
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
This whitepaper discusses holistic data governance and provides a framework for organizations to establish effective data governance. It argues that data governance should be treated as a core business function, rather than an IT project, in order to optimize value from data assets. The framework outlines 10 facets of data governance, including vision/business case, people, tools/architecture, policies, organizational alignment, measurement, change management, dependent processes, program management and defined processes. It also defines levels of data governance maturity from initial/ad hoc to optimized/function in order to help organizations assess their current state and develop a roadmap.
This document summarizes a webinar series on business critical metadata presented by Concept Searching. The series includes webinars on applying metadata at various organizations. It outlines the benefits of automated classification for improving search, compliance, and productivity. It also discusses challenges organizations face with metadata, including inconsistent tagging. The document recommends augmenting SharePoint with third-party applications to generate intelligent metadata for governance goals across platforms.
First San Francisco Partners provides data governance and data management consulting services to help companies improve decision-making, operational efficiency, and business growth. They employ agile approaches to deliver faster results and reduce costs. Their services include data governance strategy, assessments, workshops, and master data management implementations. They help organizations of all sizes address data management challenges.
Data Governance & Data Architecture - Alignment and SynergiesDATAVERSITY
The definition of Data Governance can vary depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both aspects, and a robust Data Architecture can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.
Como criar e gerenciar com sucesso uma organização de dadosDATAVERSITY
The document provides an overview of creating and managing a successful data organization. It discusses the evolution of business intelligence and big data, and some current issues organizations face with data management. It recommends establishing a chief data officer role to oversee the data value chain and foundations of the data team, including data strategy, governance, quality and more. This will help create a formal process to manage data and enable effective analytics.
In many organizations and functional areas, data has pulled even with money in terms of what makes the proverbial world go round. As businesses struggle to cope with the 21st century’s newfound data flood, it is more important than ever before to prioritize data as an asset that directly supports business imperatives. However, while organizations across most industries make some attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. Data Quality), the results of these efforts frequently fall far below expectations. At the root of many of these failures is poor organizational Data Management—which fortunately is a remediable problem.
This webinar will cover three lessons, each illustrated with examples, that will help you establish realistic goals and benchmarks for Data Management processes and communicate their value to both internal and external decision-makers:
How organizational thinking must change to include value-added Data Management practices
The importance of walking before you run with data-focused initiatives
Prioritizing specification and Data Governance over “silver bullet” analytical tools
Discuss foundational data-centric concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
Data Leadership - Stop Talking About Data and Start Making an Impact!DATAVERSITY
<!-- wp:paragraph -->
<p>For any organization to be successful, whatever we do with data must connect to meaningful business improvements—and those must be measured. If current data efforts lack results or accountability, then Data Leadership is our answer.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>But Data Leadership isn’t really about the data at all. What makes Data Leadership so powerful is its ability to completely transform organizations. Going beyond traditional data management and governance, Data Leadership builds momentum and delivers the change we’ve long known our businesses need. Data Leadership helps us overcome the lingering data challenges our legacy approaches never will.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>This webinar will cover the key concepts of Data Leadership, and what anybody can do to start making a bigger impact for their teams and businesses. Whether your role today is large or small, Data Leadership will be essential to your future data success! </p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Key Learnings Include:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>What Data Value really is, and why creating it is the goal of everything we do with data</li><li>Introduction to the Data Leadership Framework</li><li>Why Data Leadership is fundamentally about balance</li><li>How to immediately start making a Data Leadership impact in your organization</li></ul>
<!-- /wp:list -->
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Lead Your Data Revolution - How to Build a Foundation of Trust and Data Gover...DATAVERSITY
<!-- wp:paragraph -->
<p>Becoming a data-driven organization is something many companies aspire to, but few are able to obtain. Let’s face it: Data is confusing. It is complicated, dirty, and spread out all over a business. While companies are making big investments in Data Management projects, only a few are seeing the payoff. </p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>New research from Experian shows that despite many ongoing data initiatives, 69 percent of organizations struggle to be data-driven. The struggles are real. Companies face a large data debt, look at data projects through a siloed lens, and still have a large volume of inaccurate data. In fact, 65 percent report inaccurate data is undermining key initiatives. <br></p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>However, the tide is turning. Businesses are starting to adopt data enablement, or a practice of empowering a larger group of individuals within the business to understand and harness the power of data and analytics. Companies that empower wider data usage are better able to comply with regulations, improve decision-making, and, of course, deliver a superior customer experience. Are these the results you’re striving for? </p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Join us to uncover new research from more than 500 Data Management practitioners as we take a deep dive into:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>The top challenges in becoming a data-driven organization </li><li>Trends and the rise of data enablement </li><li>The profile of a mature organization </li><li>Tips for how you can adopt data enablement practices</li></ul>
<!-- /wp:list -->
Keys to Creating an Analytics-Driven CultureDATAVERSITY
Changing company culture takes time, energy and focus, as well as consistent reinforcement long after the breakrooms’ company culture posters start to fade. Creating an analytics-driven culture may be even harder to grow and sustain. Yet the rewards are vast for companies whose culture embodies an analytics-first mindset – and for those who use the derived insights to improve operational efficiency and decision-making, generate new revenue and prevent risk and fraud.
This webinar will offer advice and real-world examples on how to:
Develop and utilize an analytics-focused vision statement
Engage senior leaders to support analytics as a business problem-solver
Communication best practices to engage participants in the culture change
Use tried-and-tested best practices and approaches to build an analytics-driven culture
Startup and Growth companies that have unique and compelling product ideas still need to find a strategic pathway towards building that vision into a final product. Designing and building features is just part of the puzzle and fast iterations are only helpful if you are gaining real and useful learning from those releases. Data strategy ensures that each product feature released is backed by data to measure its impact and effectiveness.
Mario Faria presents on helping HR professionals understand big data. He discusses the current situation of data fragmentation and complexity in organizations. Some common problems are lack of data ownership and governance. Hiring data professionals is challenging due to the variety of roles and skills required. The solution is to establish a chief data officer role to manage the people, processes, technology and methodology for a successful data and analytics program. HR and business leaders need to work together to attract and retain top data talent to help their organizations leverage data as a strategic asset.
Data Governance — Aligning Technical and Business ApproachesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, data governance consists of committee meetings and stewardship roles. To others, it focuses on technical data management and controls. Holistic data governance combines both of these aspects, and a robust data architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning data architecture & data governance for business and IT success.
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
Data governance exercises authority and control over the management of your mission critical assets and guides how all other data management functions are performed. When selling data governance to organizational management, it is useful to concentrate on the specifics that motivate the initiative. This means developing a specific vocabulary and set of narratives to facilitate understanding of the business objectives and imperatives that demand governance. This webinar also provides you with an understanding of what data governance functions are required and how they fit with other data management disciplines. Understanding these governance aspects is necessary to eliminate the ambiguity that often surrounds effective data governance and stewardship programs. The goal of governance is to manage the data that supports organizational strategy.
Takeaways:
•Understanding why data governance can be tricky for most organizations
•Steps for improving data governance within your organization
•Guiding principles & lessons learned
•Understanding foundational data governance concepts based on the DAMA DMBOK
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
Much like project team management and home improvement, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, Data Governance directs how all other Data Management functions are performed, meaning that much of your Data Management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective Data Management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management disciplines, and why Data Governance can be tricky for many organizations
Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
Provide direction for selling Data Governance to organizational management as a specifically motivated initiative
Discuss foundational Data Governance concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
The global pandemic returned digital transformation to the spotlight. The lockdown put every digital business model to the test. Some organizations proved agile and resilient, but most were sent back to the drawing board to reconstruct their digital and analytic foundations.
In response, the modern C-Suite is now being tightly knit into one digital whole, connected by a web of data and analytics.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA)-- outline the priorities of digital transformation in the modern C-Suite.
DataEd Slides: Getting Started with Data StewardshipDATAVERSITY
Getting Started with Data Stewardship focuses on defining data stewardship, explaining its importance, and providing guidance on how to implement it. Key points include: defining data stewardship terminology which is not widely known; noting the lack of agreed upon definitions and architectural context has led to confusion between IT, data, and business; and emphasizing that data strategy can provide focus for stewardship efforts by reducing redundant, obsolete, and trivial data. The presentation aims to explain why data stewardship is needed, how it relates to governance, and when to consider it in the software development lifecycle.
Increasing Your Business Data and Analytics MaturityDATAVERSITY
For a few years now, companies of all sizes have been looking at data as a lever to increase revenues, reduce costs or improve efficiency. However, we believe the power of using data as a strategic asset is still in its early stages. One of the main reasons for that is business leaders still do not understand that the data & analytics maturity should be seen as a long time journey and an evolving enterprise learning. This webinar will present some key points on how data management leaders can succeed in their mission by sharing some practical experiences.
2011 digital trends webinar presentationEconsultancy
The document outlines 7 digital trends for 2011, including joined-up marketing, organizational changes to adapt to digital, the rise of social media as a business and customer service tool, content marketing, the value of customer data analytics, the comeback of display advertising, and increased focus on localisation and location-based targeting. It provides examples and statistics on each trend and recommends related reports for further reading.
DataEd Slides: Data Governance StrategiesDATAVERSITY
Much like project management and home improvements, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance can be explained as “managing data with guidance.” In general, the perceived utility of these programs increases with the specificity of desired data and processing improvements. Whether restarting or starting your Data Governance programs, it is critical to be guided by a periodically revised Data Strategy that links support for organizational strategy to specific operational data improvements. Understanding these and other aspects of governance is necessary to eliminate the ambiguity that often surrounds the implementation of effective Data Management and stewardship programs.
This webinar will:
- Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management practice areas, and why Data Governance has been tricky for many organizations
- Illustrate the utility of a detailed focus and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
- Provide direction for selling Data Governance to organizational management as a specifically motivated initiative.
Learning Objectives:
- Reorient the focus of Data Governance to an improvable process
- Recognize guiding principles and lessons learned
- Understand foundational Data Governance concepts based on the DAMA DMBOK
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
This whitepaper discusses holistic data governance and provides a framework for organizations to establish effective data governance. It argues that data governance should be treated as a core business function, rather than an IT project, in order to optimize value from data assets. The framework outlines 10 facets of data governance, including vision/business case, people, tools/architecture, policies, organizational alignment, measurement, change management, dependent processes, program management and defined processes. It also defines levels of data governance maturity from initial/ad hoc to optimized/function in order to help organizations assess their current state and develop a roadmap.
This document summarizes a webinar series on business critical metadata presented by Concept Searching. The series includes webinars on applying metadata at various organizations. It outlines the benefits of automated classification for improving search, compliance, and productivity. It also discusses challenges organizations face with metadata, including inconsistent tagging. The document recommends augmenting SharePoint with third-party applications to generate intelligent metadata for governance goals across platforms.
First San Francisco Partners provides data governance and data management consulting services to help companies improve decision-making, operational efficiency, and business growth. They employ agile approaches to deliver faster results and reduce costs. Their services include data governance strategy, assessments, workshops, and master data management implementations. They help organizations of all sizes address data management challenges.
Data Governance & Data Architecture - Alignment and SynergiesDATAVERSITY
The definition of Data Governance can vary depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both aspects, and a robust Data Architecture can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.
The Digital Group’s Enterprise Transformation Consulting ServicesThe Digital Group
To modernize your IT portfolio, The Digital Group uses a proven IT transformation life cycle model to help you define, govern, execute, and sustain a tailored transformation road map.
Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.
Data-Ed Webinar: Data Quality EngineeringDATAVERSITY
Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.
Takeaways:
Understanding foundational data quality concepts based on the DAMA DMBOK
Utilizing data quality engineering in support of business strategy
Data Quality guiding principles & best practices
Steps for improving data quality at your organization
The Business Value of Metadata for Data GovernanceRoland Bullivant
In today’s digital economy, data drives the core processes that deliver profitability and growth - from marketing, to finance, to sales, supply chain, and more. It is also likely that for many large organizations much of their key data is retained in application packages from SAP, Oracle, Microsoft, Salesforce and others. In order to ensure that their foundational data infrastructure runs smoothly, most organizations have adopted a data governance initiative. These typically focus on the people and processes around managing data and information. Without an actionable link to the physical systems that run key business processes, however, governance programs can often lack the ‘teeth’ to effectively implement business change.
Metadata management is a process that can link business processes and drivers with the technical applications that support them. This makes data governance actionable and relevant in today’s fast-paced and results-driven business environment. One of the challenges facing data governance teams however, is the variety in format, accessibility and complexity of metadata across the organization’s systems.
Adopting a Process-Driven Approach to Master Data ManagementSoftware AG
What is a lasting solution to the sea of errors, headaches, and losses caused by inconsistent and inaccurate master data such as customer and product records? This is the data that your business counts on to operate business processes and make decisions. But this data is often incomplete or in conflict because it resides in multiple IT systems. Master Data Management (MDM)'s programs are the solution to this problem, but these programs can fail without the investment and involvement of business managers.
Listen to Rob Karel, Forrester analyst, and Jignesh Shah from Software AG to learn about a new, process-driven approach to MDM and why it is a win-win for both business and IT managers.
Visit us at http://www.softwareag.com Become part of our growing community: Facebook: http://www.facebook.com/softwareag Twitter: http://www.twitter.com/softwareag LinkedIn: http://www.linkedin.com/company/software-ag YouTube: http://www.youtube.com/softwareag
This is a slide deck that was assembled as a result of months of Project work at a Global Multinational. Collaboration with some incredibly smart people resulted in content that I wish I had come across prior to having to have assembled this.
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.
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, customer centricity, 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.
Real-World Data Governance: Gaining Leadership Support For Data GovernancePrecisely
A commonly used best practice associated with standing up Data Governance programs is that “senior leadership support, sponsor, and understand Data Governance” and the activities and resources associated with governing data. The question becomes, “How do we get leadership’s support when it is possible that they have heard it all before?”
Join Bob Seiner as he covers a topic that is important to organizations gaining leadership support for the first time, and organizations with established Data Governance programs that need to sustain leadership support. Bob will share proven techniques to learn the issues and opportunities that can be addressed through formal governance and the potential introduction of data policy and strategy.
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...Grid Dynamics
Organizations need to tap into the huge potential of their vast volumes of data, but a use case tactical approach is not going to work. Instead, they need to work in the definition of a data strategy linked to the most relevant goals for the enterprise.
Data-Ed Online Webinar: Business Value from MDMDATAVERSITY
This presentation provides you with an understanding of the goals of reference and master data management (MDM), including establishing and implementing authoritative data sources, establishing and implementing more effective means of delivery data to various business processes, as well as increasing the quality of information used in organizational analytical functions (such as BI). You will understand the parallel importance of incorporating data quality engineering into the planning of reference and MDM.
Takeaways:
What is reference and MDM?
Why are reference and MDM important?
Reference and MDM Frameworks
Guiding principles & best practices
This presentation provides you with an understanding of the goals of reference and master data management (MDM), including establishing and implementing authoritative data sources, establishing and implementing more effective means of delivery data to various business processes, as well as increasing the quality of information used in organizational analytical functions (such as BI). You will understand the parallel importance of incorporating data quality engineering into the planning of reference and MDM.
Check out more of our Data-Ed webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
This document discusses implementing a non-invasive enterprise data governance program. It begins by outlining some common data challenges around data quality, variety, and volume. It then proposes formalizing existing informal governance by putting structure around current practices to improve data risk management, quality, and coordination. The solution involves taking a non-invasive approach and not spending a lot of money. Several frameworks and models are presented for implementing an effective yet lightweight data governance program, including an Enterprise Information Management framework and an Enterprise Data Strategy and Design framework.
Trends in Enterprise Advanced AnalyticsDATAVERSITY
This document summarizes trends in enterprise analytics presented by William McKnight. It discusses the increasing importance of data and analytics for businesses. Key trends include greater use of data lakes, multi-cloud strategies, master data management, data virtualization, graph databases, stream processing, self-service analytics, and the rise of roles like Chief Data Officer. Data science and analytics skills will become more operational. Selection of big data platforms will consider factors like SQL support, data size, and workload complexity. Overall, data maturity correlates strongly with business success and organizations must continually advance to remain competitive.
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
Data Governance: From speed dating to lifelong partnershipPrecisely
Data Governance, like a relationship, requires a strong foundation and commitment to make it work. This presentation explores the main reasons why Data Governance initiatives fail and the key components that are necessary to build a sustainable program with long-term engagement within your organisation. Learn about the Data Integrity Framework, data governance tools, and how to establish a structured decision tree to drive prioritisation.
The document outlines several upcoming workshops hosted by CCG, an analytics consulting firm, including:
- An Analytics in a Day workshop focusing on Synapse on March 16th and April 20th.
- An Introduction to Machine Learning workshop on March 23rd.
- A Data Modernization workshop on March 30th.
- A Data Governance workshop with CCG and Profisee on May 4th focusing on leveraging MDM within data governance.
More details and registration information can be found on ccganalytics.com/events. The document encourages following CCG on LinkedIn for event updates.
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
Similar to Increasing Your Business Data & Analytics Maturity (20)
The Chief Data Officer Golden Rules to Data Quality and Data Governance SuccessMario Faria
This document summarizes a webinar presented by Mario Faria on establishing successful data quality and governance programs. Faria outlines five "golden rules" for chief data officers: 1) understand why quality and governance matters to the business, 2) define a strategic vision and plan, 3) select a strong leader, 4) secure necessary investments and budget, and 5) consistently deliver results. He emphasizes the importance of a customer-focused mindset for quality and seeing governance as a process for decision making. Faria also discusses establishing baselines, adopting agile methodologies, celebrating successes, and adapting quickly. The webinar provides best practices for CDOs implementing quality and governance programs.
Offshore Analytics - material from the Big Data Analytics Conference held by ...Mario Faria
This document provides an overview of offshore analytics from Mario Faria, Chief Data Officer at ServiceSource. It discusses several large companies that perform analytics offshore, such as eBay and Wunderman. It also profiles some startup analytics companies that operate offshore, such as Trendwise Analytics in India and ScaleStation with offices in India and Serbia. Finally, it outlines some lessons learned about managing offshore analytics programs.
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The document discusses building an organization driven by data. It outlines Mario Faria's background and experience in data and analytics. It then covers topics like the increasing availability of data, roles in data-driven organizations, data science, machine learning, analytics, and how to promote business maturity through analytics. The key takeaways are that data is now widely available, humans are social, mobile is more than phones, and companies should start their analytics journey to leverage data and thrive in the future.
Does your organization need a Chief Data Officer (CDO) ?Mario Faria
A question that will have one answer : it depends ! It depends on your company maturity level and how upper management will support it. This is material I presented at meeting organized by PointB, an strategic consulting company for the data leaders of the Seattle area in Aug-2013
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O documento descreve a carreira de Richard Wang, o primeiro General de Dados do mundo, e como ele inspirou a criação do cargo de Chief Data Officer (CDO). O autor, Mario Faria, foi o primeiro CDO da América Latina. O texto explica que o papel do CDO é trazer uma cultura baseada em dados para as organizações e gerar valor através da melhoria da qualidade e do uso estratégico dos dados.
Chief Data & Analytics Officer - who are these new kids on the C-Suite block ?Mario Faria
The document discusses the roles of Chief Data Officer, Chief Analytics Officer, and Lead Data Scientist. It describes how these roles lead culture change to create data-driven organizations by managing the data life cycle, including acquisition, analytics, governance, quality, technology, and budget. These roles leverage an organization's data assets to support business strategy and are responsible for enterprise-wide data administration. The document also provides an overview of the responsibilities and skills needed to succeed in these data leadership positions.
2nd Big Data Business Forum Nov 13th to 15th, 2013 in San FranciscoMario Faria
The 2nd Big Data Business Forum will happen from November 13th to 15th, 2013 in San Francisco. This is one of the top data and analytics conferences of the year.
A Morte do CIO - artigo Information Management - Maio 2013Mario Faria
O modelo atual de TI das empresas não funciona na realidade atual de mercado. O artigo mostra um caso real onde a área de negócio conseguiu o que precisava pagando menos e com prazo mais realista que utilizando a área de TI da empresa
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Helping Compliance Cross the Data Chasm - Webinar for the Compliance Week Magazine, March 27st, 2013
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Speaker:
Mario Faria, Data Strategy Advisor - Boa Vista
Moderator:
Joe McCafferty, Executive Editor, Compliance Week
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Redes Sociales y Tecnología: como el CIO debe estar preparadoMario Faria
Redes Sociales y Tecnología: como el CIO debe estar preparado - presentación hecha en Buenos Aires, SimpoCIO, Nov-2011. ¿ Un protagonista o un empiecillo a lo cambio?
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Palestra proferida durante o Ecommerce Brasil, no evento sobre Planejamento para o Natal 2011 em São Paulo, onde abordei como o varejo pode evitar perdas de vendas, desde que utilize processos e requisitos clara para comprar sua infra-estrutura de tecnologia
A apresentação discute a evolução da sociedade de agrícola para industrial e da era da informação, com mudanças nas formas de organização social e econômica. Também aborda como a economia digital alterou paradigmas sobre preços e valor da informação, e como as redes sociais e efeitos de rede transformaram modelos de negócios.
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2. Mario Faria
2
The Presenters
Mario is one of the first Chief Data Officers in the world,
leading teams focused in Data Monetization, Data Quality, Data
Governance, Operations, Architecture and Analytics. Currently
he is the head of CDO, Inc, advising companies to cross the
"data & analytics chasm".
Luisa is a technology executive with proven
success directing high profile programs.
Experienced in Data Management and Enterprise
Architecture, CRM, and Advanced Metadata
Repository. She joined Microsoft in 2007 and
currently works in the Microsoft IT department as
an Enterprise Architect.
3. Mario Faria
3
Increasing Your Business
Data & Analytics Maturity
Mario Faria
mario.faria@cdo-inc.com
@mariofaria
http://www.cdo-inc.com/
5. Mario Faria
5
“The balance of power in the 21st
century is influenced by the ability
to leverage information assets” –
Gwen Thomas, CEO of The Data
Governance Institute
9. Mario Faria
9
Data & Analytics is about
• People
• Technology
• Processes
• Modeling
• Analytics
• Communication
• Decisions
• Actions
A data-driven culture is a disruptive factor for
entire industries
11. How
to
promote
Business
Maturity
through
Data
&
Analy8cs
?
12. Mario Faria
12
Is it possible to promote Business Maturity using
Analytics, or is it the other way around?
• Your company must have some Business Maturity to take a step and
start using Analytics.
• When you if take the path of using the right people, good technology,
proven methodologies and changing the current processes, you will gain
more Business Maturity.
• After you have gained more Business Maturity, naturally you will start to
evolve to more complex Analytics usage
• It is a self-promoting system following exactly the Deming PDCA method
13. Mario Faria
13
A data & analytics team is
responsible for transforming
data assets into competitive
insights, that will drive
business decisions and
actions, using people,
processes and technologies
14. Mario Faria
14
Managing Data & Analytics Teams
• Focus on the execution
• Well-defined and realistic
scope
• Put all activities on the
schedule
• Budget control
15.
Data
&
Analy8cs
is
quite
easy
Changing
behavior
and
culture
is
extremely
hard
to
achieve
18. Sample - Data Management Maturity Summary
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Data Management Strategy
Communications
Data Management Function
Funding Model
Business Case
Governance Management
Business Glossary
Metadata Management
Data Requirements
Data Lifecycle Management
Provider Management
Architectural Approach
Architectural StandardsData Management Platform
Data Integration
Historical Data
Data Quality Strategy
Data Profiling
Data Quality Assessment
Data Cleansing
Configuration Management
Measurement and Analysis
Process Management
Process Quality Assurance
Risk Management
Data Strategy Data Operations Data Platform Data Governance Data Quality Supporting Processes
20. Strategic
Enterprise
Architecture
Microso'
IT
Data
Management
Maturity
Data
to
match
the
business
velocity
and
accelerate
the
organiza:on’s
evolu:on
towards
Real-‐Time
Enterprise!
Luisa Recalcati
Enterprise Architect
9/4/2013
21. Strategic Enterprise
Architecture
§ Microsoft IT Transformation to Real-Time
§ The Microsoft IT Landscape
§ Integrated Data Management (IDM) Initiative
§ IDM Goals and Objectives
§ IDM Results and Recommendations
§ Recommendations and Implementation
[ 21 ]
Agenda
22. Strategic Enterprise
Architecture
Business Processes
People
Information
Technology
[ 22 ]
The Real Time Enterprise
Processes achieve business
results
People make decisions
Technology speeds the delivery
of information
Decisions are driven by
Information
Virtually everything in business today is an undifferentiated
commodity, except how a company manages its information.
How you manage information determines whether you win or
lose.
– Bill Gates
24. Strategic Enterprise
Architecture[ 24 ]
Microsoft IT Transformation and Data Management (IDM)
Matching the Business Velocity
Enable a fast and consistent view of service, product and
operational data across the business
ü Generate Integrated Data Management Capability Strategy
ü Design Integrated Data Management Operating Model,
Standards, & Tools
ü Drive Integrated Adoption and Measure Impact
25. [ 25 ]
Establishing a Common Data Management
Language
CMMI Data Management Maturity Model
26. Strategic Enterprise
Architecture[ 26 ]
Timeline for Integrated Data Management Project
In partnership with the CMMI Institute
Internal and external assessments leveraged our subject matter experts
while providing an objective, outside-in view
DMM Available
Internal Assessment
Assessment Validation
Internal
Recommendations
CMMI Assessment
CMMI
Recommendations
Capability Enablement Plan
CMMI/Microsoft IT
July 2012 Sept-Dec 2012 Nov. 2012 Jan-Mar 2013 Mar-Apr 2013 May 2013
27. Strategic Enterprise
Architecture
Performed
Managed
Defined
Measured
Op:mized
Level
1
Ad-hoc processes. Emphasis on data repair . Transitory improvements.
Formalized processes. Infrastructure supports at business
unit level. Clearly defined roles and responsibilities.
Established processes, improved over time. Tailored
to meet specific needs predictably and consistently.
Established metrics. Variance management across the
process lifecycle.
Processes are improved on a continuous basis and
advocated at the executive management level.
Level
2
Level
3
Level
4
Level
5
[ 27 ]
Maturity Levels Related to Real Time Data
Batch
Enabling Capabilities
Real –Time
Competitive Advantage
Velocity
Operational
Effectiveness
28. Strategic Enterprise
Architecture[ 28 ]
Success of the Assessment Through Collaboration
Business and IT Cross-Functional Team
ü Business priorities
ü Pain points
ü 26 CMMI Institute
Recommendations
Operations
Sales,
Marketing,
Services
Microsoft IT
Business
Units
29. Strategic Enterprise
Architecture
Data
Management
Operations
Platform &
Architecture
Data
Quality
Data
Governance
Data
Management
Strategy
[ 29 ]
CMMI Assessment Recommendations
• Unified effort to maximize data
sharing and quality
• Monitor and measure adherence
to data standards
• Top-down approach to
prioritization
• Up-stream error prevention
• Common Data Definitions
• Leverage best practices for
data archival and retention
• Maximize shared services
utilization
• Map key business processes
to data
• Leverage Meta Data
repository
• Integrate data governance
structures
• Prioritize policies, processes,
standards, to support corporate
initiatives
30. Strategic Enterprise
Architecture[ 30 ]
Accelerating Data Management at Microsoft
Create Enterprise Data Management
Board
Scorecard Data Management
Capability improvements
Enterprise-wide Data Management
Program and Strategy
Prioritize Data Management
initiatives in alignment with the
business priorities.
Reduce cost of Data Repair and
invest in Quality at the source
Audit Data Quality for a small but
critical data set across multiple data
stores
Strategies Expected Results
Build on Strengths!
31. Strategic Enterprise
Architecture[ 31 ]
Capability Enablement Plan
Strategy
Quality
Implementation
Governance
Shared Vision focused on
core data that meets
business objectives
Redesign and implement
Business Process with standard
data controls
Baseline core data quality in
terms of business value
Data Governance Structure
for Core Data
32. Strategic Enterprise
Architecture[ 32 ]
Data Management Board – Unifying Governance
Capability
Management
Steer Co
Business
Enablement
Steer Co
Enterprise
Data Model
Steer Co
Data Quality
Steer Co
Data Management Board
EDM Governance &
Management
Enhancement DM
Capabilities
Operational Data Issues
& Data Certification
Business Demand,
Strategy, and Issues
Aligning IT to Business Strategy requires
coordinated processes through tiers of IT governance
scope
Collaboration
33. Strategic Enterprise
Architecture
§ In the world of Devices and Services, Data Management is a pillar of effectiveness
§ DMM is a key framework tool to facilitate the Real-Time Data Management journey
§ Active participation of cross-functional teams from Business and IT is key for success
§ Employee education on the importance of data and the impact of data management is a
good investment
§ Build on Strengths!
[ 33 ]
Key Lessons
Microso'
IT
Annual
Report
may
be
found
at:
hIp://wwwppe/enterprise/microso'-‐it/reports-‐2014/
data/default.html?page=1#Sid=PJbKXa0iTv9