Data Governance 8 Steps to Success

Size: px
Start display at page:

Download "Data Governance 8 Steps to Success"

Transcription

1 Data Governance 8 Steps to Success Anne Marie Smith, Ph.D. Principal Consultant alabamayankeesystems.com 1

2 Instructor Background Internationally recognized expert and speaker in the fields of enterprise information management, data modeling, meta data management and data warehousing, one of the top industry experts in data governance and information management strategy and planning Published numerous articles that have been featured in some of the industry s most prestigious magazines and newsletters Contributing author to the DAMA Data Management Body of Knowledge (DAMA-DMBoK ) Contributing columnist The Data Administration Newsletter Has taught at several institutions of higher learning including LaSalle University Holds certifications in CDMP / CBIP and has earned a Ph.D. in Management Information Systems 2

3 Agenda Mission and goals of data governance Importance of business-driven data governance Essential components of governance programs Data stewardship roles in data governance models Importance of data governance office to successful implementation Fundamentals of implementation Challenges to successful data governance and how to overcome them Conclusion, resources for additional study

4 Introduction to Data Governance 4

5 What is Data Governance? Data governance is the practice of making strategic and effective decisions regarding an organization s information assets Data governance includes: Determination of valid data sources Management of master and reference data Responsibilities for data integrity Meta data management practices Data quality policies and procedures Establishing and/or enforcing meta data standards Both internal and external Stakeholder arbitration mechanism Development of stewardship role for selected business subject matter experts in all business domains Data Governance is a fundamental component of an effective enterprise information management program 2014 Alabama Yankee Systems, LLC. 5

6 Data Governance Key Points Data is one of the most important assets in a corporation Data has value when it is delivered quickly, properly formatted, concise, accurate and understood Business ownership of the data and active participation are critical Data governance is the foundational component of functions of the DAMA-DMBOK framework Data stewards and data governance professionals perform the activities of data governance 2014 Alabama Yankee Systems, LLC. 6

7 Data Governance in Data Management Provide an enterprise wide metadata management environment that provides access to data semantics, format and source information ensures semantic uniformity, correlation of format from all sources Provide and govern a set of processes that ensure data quality ensure that data quality processes are comprehensive and applied consistently Provide and govern a set of processes that measure data value ensure that data valuation processes are comprehensive and applied consistently Provide and govern a set of processes that ensure appropriate security determine security levels and approve application/data security approach Provide and govern a set of well-documented processes and interfaces for accessing data which eliminates the proliferation of redundant and inconsistent data approves and then ensures adherence to processes Provide standards and governance of processes for the definition/design, creation and maintenance of data approves and then ensures adherence to processes Enable data sharing for both ad hoc inquires and new application systems thereby reducing storage of redundant data ensure that data stewards provide access as required for data sharing Provide an enterprise-level data dictionary and appropriate data stores that enable the reuse of data provide mechanism for enterprise dissemination of meta data Provide a framework and standardized set of data storage requirements that enable appropriate capacity planning activities ensures that all data is compliant with the defined data infrastructure 2014 Alabama Yankee Systems, LLC. 7

8 Objectives of Data Governance Address and synchronize data collection processes Reduce data redundancy Systematically improve: Data Accessibility Data availability Data flexibility Data reuse 2014 Alabama Yankee Systems, LLC. 8

9 Data Governance Benefits Enables the organization to produce high-quality information which is useful, appropriate, and timely by: Providing one point of accountability for data management Reducing data duplication Increasing confidence in data for business and IT Improving timeliness and usability of data Establishing a common vocabulary of data to ensure access to the right information Defining enterprise-wide (or site / project wide) values for common reference data Providing information and guidance to assist in compliance and regulatory efforts concerning data 2014 Alabama Yankee Systems, LLC. 9

10 Critical Success Factors for Data Governance Successful Data Governance requires: Adoption of Enterprise Information Management methodology and standards throughout the organization Strong, continued management support of the stewardship approach authority given to stewards to enact proper standards and policies, and to enforce them Data Governance Council leadership Continued focus on improving data and information quality, through vigilant data and information management Successful, continual interaction among data stewards, data management, database administration and applications development Establishment of measures to chart progress of the data governance program and the use of data and information management standards Measure each CSF success can be targeted when metrics are applied to the factors 10

11 Measuring Program Success Business Value Measures - attribute business value to implementation of the data governance program data standardization improved data management discipline across the enterprise and in projects Acceptability and Compliance Measures - ways to directly evaluate and measure the level of adoption of enterprise data standards data governance program performance of the stewards and the stewardship teams 11

12 Methods for Measurement Money: Does the program contribute to positive cash flow, revenue growth, and profit margins? HOW? Customer satisfaction: How happy are they, and does the data governance program contribute to that happiness? HOW? Quality: How good is the program? How is it improving data and meta data quality? Product or service development: How will the data governance program increase business with existing customers and attract new ones? Intellectual capital: Increasing knowledge is profitable. How does the data governance program support this? Strategic relationships: How does the program contribute to new sources of business, products and outside revenue? Employee attraction and retention: Is the program able to attract and retain staff due to its success? Sustainability: Is the organization able to keep the program going? 12

13 Reasons Data Governance Fails Loss of executive support Lack of a proper data management foundation in organization No metrics no ways to measure success Poor planning at program and project levels Loss of momentum communication issues Loss of funding Program viewed as overhead with no defined value Loss of key personnel in governance and stewardship roles Gartner, May

14 Business Driven Data Governance 14

15 Business Drives Data Governance 15

16 Data Governance is a Business Effort Many organizations begin a data governance program within their IT departments Historically, funds were sourced from IT Business played a supporting role Today, leaders believe that data governance is a business effort Business knows and understands the data, its meaning and usages Business should serve as stewards of its data IT should serve as custodians to support business data stewardship 16

17 Gartner Quote May 2011 It's not just an IT project. The business needs to take responsibility and be accountable for master data governance and stewardship. Unless organizations take a holistic, business-driven approach to MDM, addressing governance and metrics requirements in particular, they risk having their MDM programs fail. John Radcliffe, research VP, Gartner, May,

18 Steps to Successful Data Governance 18

19 Establishing a Data Governance Program 1. Survey the current data management situation each component of enterprise information management part of methodology 2. Obtain executive support for data governance program based on the results of the assessment / survey 3. Develop a charter for data governance program include mission and vision 4. Develop the Data Governance Program Office support structure 5. Identify business cases for data governance, and scope program using cases as foundation 6. Form the Data Governance Council, with executives and senior contributors 7. Identify appropriate lead business data stewards for each subject area 8. Plan data governance communications to the organization 19

20 Survey Data Management Current State Components Data Governance Data Quality Data Architecture Data Warehousing and Business Intelligence Master Data Management Metadata Management Unstructured Data Management Data and Information Security Environmental Factors General Environment Sponsorship and Goals Principles, Attitudes and Beliefs Cultural Readiness and Adoption Metrics and Business Value Practices and Processes Roles and Organizational Structures Technology Skills, Experience and Training 20

21 Obtain Executive Support Key qualities in an executive sponsor: Someone willing to be an executive sponsor Someone with a clear understanding of the value of data as a corporate asset A person with executive ranking A person who can deliver sustained funding to the program Someone with high credibility Someone knowledgeable about the organization s information problems / issues A person willing to challenge the company status quo and promote change for improved information management Need more than one executive sponsor business and IT, from multiple areas of the organization for wide support 21

22 Data Governance Charter Charter is a short document that outlines the business purposes that require data governance program Target the specific concerns and opportunities of the organization concerning data governance Best Practice: Data governance charter should fit on three (3) single-spaced pages. Anything longer is likely too long Charter is a business document and not a technical document used for executive communication Charter is not a scope document 22

23 Vision for Data Governance a thought, concept, or object formed by the imagination; unusual discernment or foresight; the act or power of seeing State to be achieved View of the future Describe how data governance will support reaching that end-state SAMPLE: To enable the generation of business value from the information assets CLIENT owns and has access to so that the organization and its customers and partners can achieve their business objectives. 23

24 Mission for Data Governance a specific task with which a person or a group is charged; a pre-established and often self-imposed objective or purpose Development of objectives Call to action Clear, dynamic statement that demonstrates how the mission will be achieved SAMPLE: The mission of the CLIENT Data Governance Program is to elevate the status of data as an asset in our organization through proper governance and management architectures, methodologies and implementation techniques. Our community will work together in a collaborative, open and honest fashion to improve the value of data and its management. 24

25 Benefits of Mission and Vision Statements Strengthen culture through a unified sense of purpose Improve decision making with clarity about "big picture and the details to achieve Enhance cross-functional relationships through a shared understanding of priorities Mission and vision are NOT synonymous, they are complementary, especially to governance Clearly established Vision statement encourages people to focus on what's important Clearly defined Mission statement also helps employees better understand the organization and its approaches and the changes needed to achieve the vision 25

26 Form Data Governance Program Office Essential component of a successful initiative Often overlooked most failures cite lack of this support structure Program office is not large Director senior resource, leader, experienced in data management, data governance concepts and implementation, program management, negotiation, organizational management, communication, etc. Program specialists number dependent on organization size (2-3 to start) intermediate to senior resources in data management, data governance, former stewards, skilled in data governance implementation 26

27 Business Cases for Data Governance Essential for securing and retaining support for a data governance initiative Creating business cases by subject or functional area can increase support and refocus efforts if project stalls Each business case should identify a problem that could be solved with involvement from a data governance program Business case can include possible solutions from the proposed data governance program 27

28 Business Case Points Make the business case interesting; remember many people may read it Keep it clear, factual and concise; minimize jargon and conjecture Communicate all facts as part of the overall story - you've done your homework, here is the chance to prove it Provide the reader with a picture or vision of the end state of data governance and the situation it will resolve Demonstrate the value the data governance initiative brings to the organization and to the situation in the business case 28

29 Data Governance Program Scope Governance program definition and description Current state of governance and stewardship Future state of governance and stewardship Program scope choose initial focus may combine Master data management Data quality management Compliance, security and regulations Data warehousing / BI quality and meta data Critical success factors Risk factors and mitigation / avoidance plan Assumptions and issues Resources (targeted, not formal yet) High-level governance roadmap implementation approach 29

30 Form Data Governance Council Coordinates and directs data governance strategies and processes across the enterprise Ensures data governance strategies and processes support organizational mission and objectives Develops and directs meta data standards across the organization and projects Assigns roles, identifies responsibility and authority and implements governance through a number of organizational layers Provides mechanisms for coordination, communications, information sharing, prioritization, and conflict resolution within the organization and across projects Communicates the institutional value and importance data governance and information management brings to the organization Serves as a resource to key organizational committees with data governance and information management issues 30

31 Data Governance Council Members Executive Sponsor as needed EIM Director (co-chair) Data Governance Program Manager (co-chair) Chief Data Steward CIO Enterprise Information Architect Director Senior Business Unit Leaders (as needed to support project needs) Coordinating / Lead Business Data Stewards (as needed to represent projects) 31

32 Business Data Stewardship Roles Chief Data Steward One for the organization Drawn from the Coordinating / Lead Business Data Stewards (each subject or functional area) Coordinating / Lead Business Data Steward One for each team of data stewards Business Data Stewards Subject or functional area specialists Several for each area 32

33 Data Steward Organization Chief Data Steward Coordinating Data Steward Subject Area 1 Coordinating Data Steward Subject Area 2 Business Data Stewards Subject Area 1 Business Data Stewards Subject Area 2 33

34 Forming Business Data Steward Teams One of the most important activities of the Governance Council Resources must be identified, evaluated and formally acknowledged Each chosen steward must be given appropriate amount of time to do the work of a steward Re-assigning some current operational duties is usually necessary for any steward ( bandwidth ) Stewards are selected by subject area from enterprise data model teams formed by subject area or subset of subject area 34

35 Business Data Stewards The number of data stewards required will depend on the number of subject areas Business Data Stewards will be recognized individual contributors (subject area experts) within the business areas of the organization: Responsibilities of Business Data Stewards will be part time general estimates of steward time commitment: Program inception to 3 months: 30 40% 3 to 6 months: 20 25% 6 to 12 months: 15 20% 12 to 18 months: 10 15% Maintenance: 10 % 35

36 Data Governance Communication Plan Use a plan to guide your organization's communications efforts concerning governance Target its diverse audiences for more clear, coordinated, memorable, and effective messaging Determine goal(s) Identify target audiences - stakeholders Determine strategies for each stakeholder group Finalize key messages for each group Determine activities for communication Determine evaluation mechanisms 36

37 Elements of Communications Plan Brief description of the effort to be communicated Short description for the communication plan Stakeholder List group stakeholders by needs and analyze Clearly stated objectives for the communication efforts The strategy for communicating why to communicate Potential issues and risks to using this communication plan The budget for executing the communication plan Schedule for executing each item in the plan Metrics for measuring success of each item 37

38 Communication Plan Template Situation Analysis Vision or Mission Statement Goals and Objectives Audience Analysis Message Strategies Vehicles Overall Key Messages Expected Outcome Dependencies Metrics / Measurement Contacts What is the need or problem that governance can address? What are the issues to be communicated? Describe business situation for governance and stewardship in the organization. Briefly describe any cultural concepts that apply to the organization and how the culture could affect the governance situation Vision: Defines the desired or future state of data governance at the enterprise with fundamental objective and/or strategic direction. Mission: Defines the fundamental purpose of governance for the enterprise, basically describing why it exists (present tense). What goals and objectives do you have for the socialization of the governance program? Short-term goals, medium-term goals, and long-term goals for the governance program and its socialization. Who are you trying to reach and why? Define target audiences, there will be more than one. For each audience, describe the business need for these messages, and any unique characteristics that may influence content and delivery. List major concerns each audience may have about the governance program and identify a way to alleviate that concern. How do you plan to deliver your messages to employees? There are many ways to connect with the culture to incorporate governance into it. Small group events, large meetings, etc What tools will you use to disseminate your messages? With what frequency? Establish a timeline for each vehicle. Consider those in your specific function or business group, as well as company-wide events/vehicles. Vehicles are more specific than message strategies. Three five statements of what you re communicating. These should support the business objectives for socializing governance, for communicating the governance program s objectives and plans and should address the major concerns of the target audience(s). Describe what you want to happen with the intended audiences concerning governance and your messages. What would you like to see as a result of your socialization fforts? List and describe programs and organizations on which these messages depend. How will you know if you have succeeded in your socialization? Develop metrics that will be concrete and measurable, formal or informal. How will you measure success in socializing the program? Who are important people/groups for you to know and maintain contact with as you socialize the governance program? 38

39 Data Governance in Projects Preceding steps were foundational, necessary before starting any data governance projects Once established, organization can plan to implement data governance in projects Develop data governance project implementation plans in alignment with Data Governance Program Office and PMO Incorporate data governance into SDLC and ensure that business data stewards are involved in all data management activities, both new development and legacy 39

40 Conclusion Each data governance program is unique but successful programs share many best practices Adopt the best practices presented, design the approach at the enterprise level, implement them iteratively The best approaches to governance maintain the enterprise focus while implementing iteratively The successful programs are living, breathing and adapting These are not the ONLY 8 points for success, but they are 8 essential points Learn from colleagues at other organizations through conferences and forums (DAMA, Data Governance conference, EDW conference, etc.) 40

41 Questions 41

42 Contact Anne Marie Smith, Ph.D. - mention this presentation For a list of references used in the creation of this workshop, or to learn more about data management, please contact alabamayankeesystems.com 42

Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy

Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy EWSolutions Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy Anne Marie Smith, Ph.D. Director of Education, Principal Consultant amsmith@ewsolutions.com PG 392 2004 Enterprise

More information

The Business in Business Intelligence. Bryan Eargle Database Development and Administration IT Services Division

The Business in Business Intelligence. Bryan Eargle Database Development and Administration IT Services Division The Business in Business Intelligence Bryan Eargle Database Development and Administration IT Services Division Defining Business Intelligence (BI) Agenda Goals Identify data assets Transform data and

More information

Explore the Possibilities

Explore the Possibilities Explore the Possibilities 2013 HR Service Delivery Forum Best Practices in Data Management: Creating a Sustainable and Robust Repository for Reporting and Insights 2013 Towers Watson. All rights reserved.

More information

OPTIMUS SBR. Optimizing Results with Business Intelligence Governance CHOICE TOOLS. PRECISION AIM. BOLD ATTITUDE.

OPTIMUS SBR. Optimizing Results with Business Intelligence Governance CHOICE TOOLS. PRECISION AIM. BOLD ATTITUDE. OPTIMUS SBR CHOICE TOOLS. PRECISION AIM. BOLD ATTITUDE. Optimizing Results with Business Intelligence Governance This paper investigates the importance of establishing a robust Business Intelligence (BI)

More information

Implementing a Data Governance Initiative

Implementing a Data Governance Initiative Implementing a Data Governance Initiative Presented by: Linda A. Montemayor, Technical Director AT&T Agenda AT&T Business Alliance Data Governance Framework Data Governance Solutions: o Metadata Management

More information

EXPLORING THE CAVERN OF DATA GOVERNANCE

EXPLORING THE CAVERN OF DATA GOVERNANCE EXPLORING THE CAVERN OF DATA GOVERNANCE AUGUST 2013 Darren Dadley Business Intelligence, Program Director Planning and Information Office SIBI Overview SIBI Program Methodology 2 Definitions: & Governance

More information

Enterprise Information Management Capability Maturity Survey for Higher Education Institutions

Enterprise Information Management Capability Maturity Survey for Higher Education Institutions Enterprise Information Management Capability Maturity Survey for Higher Education Institutions Dr. Hébert Díaz-Flores Chief Technology Architect University of California, Berkeley August, 2007 Instructions

More information

The following is intended to outline our general product direction. It is intended for informational purposes only, and may not be incorporated into

The following is intended to outline our general product direction. It is intended for informational purposes only, and may not be incorporated into The following is intended to outline our general product direction. It is intended for informational purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any

More information

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff The Challenge IT Executives are challenged with issues around data, compliancy, regulation and making confident decisions on their business

More information

Enterprise Data Governance

Enterprise Data Governance Enterprise Aligning Quality With Your Program Presented by: Mark Allen Sr. Consultant, Enterprise WellPoint, Inc. (mark.allen@wellpoint.com) 1 Introduction: Mark Allen is a senior consultant and enterprise

More information

Why Data Governance - 1 -

Why Data Governance - 1 - Data Governance Why Data Governance - 1 - Industry: Lack of Data Governance is a Key Issue Faced During Projects As projects address process improvements, they encounter unidentified data processes that

More information

EIM Strategy & Data Governance

EIM Strategy & Data Governance EIM Strategy & Data Governance August 2008 Any Information management program must utilize a framework and guiding principles to leverage the Enterprise BI Environment Mission: Provide reliable, timely,

More information

Agile Master Data Management TM : Data Governance in Action. A whitepaper by First San Francisco Partners

Agile Master Data Management TM : Data Governance in Action. A whitepaper by First San Francisco Partners Agile Master Data Management TM : Data Governance in Action A whitepaper by First San Francisco Partners First San Francisco Partners Whitepaper Executive Summary What do data management, master data management,

More information

Enterprise Data Management

Enterprise Data Management Enterprise Data Management - The Why/How/Who - The business leader s role in data management Maria Villar, Managing Partner Business Data Leadership Introduction Good Data is necessary for all business

More information

US Department of Education Federal Student Aid Integration Leadership Support Contractor January 25, 2007

US Department of Education Federal Student Aid Integration Leadership Support Contractor January 25, 2007 US Department of Education Federal Student Aid Integration Leadership Support Contractor January 25, 2007 Task 18 - Enterprise Data Management 18.002 Enterprise Data Management Concept of Operations i

More information

Washington State s Use of the IBM Data Governance Unified Process Best Practices

Washington State s Use of the IBM Data Governance Unified Process Best Practices STATS-DC 2012 Data Conference July 12, 2012 Washington State s Use of the IBM Data Governance Unified Process Best Practices Bill Huennekens Washington State Office of Superintendent of Public Instruction,

More information

Enterprise Data Governance

Enterprise Data Governance DATA GOVERNANCE Enterprise Data Governance Strategies and Approaches for Implementing a Multi-Domain Data Governance Model Mark Allen Sr. Consultant, Enterprise Data Governance WellPoint, Inc. 1 Introduction:

More information

Information Management & Data Governance

Information Management & Data Governance Data governance is a means to define the policies, standards, and data management services to be employed by the organization. Information Management & Data Governance OVERVIEW A thorough Data Governance

More information

SAP Thought Leadership Business Intelligence IMPLEMENTING BUSINESS INTELLIGENCE STANDARDS SAVE MONEY AND IMPROVE BUSINESS INSIGHT

SAP Thought Leadership Business Intelligence IMPLEMENTING BUSINESS INTELLIGENCE STANDARDS SAVE MONEY AND IMPROVE BUSINESS INSIGHT SAP Thought Leadership Business Intelligence IMPLEMENTING BUSINESS INTELLIGENCE STANDARDS SAVE MONEY AND IMPROVE BUSINESS INSIGHT Your business intelligence strategy should take into account all sources

More information

Data Governance. Unlocking Value and Controlling Risk. Data Governance. www.mindyourprivacy.com

Data Governance. Unlocking Value and Controlling Risk. Data Governance. www.mindyourprivacy.com Data Governance Unlocking Value and Controlling Risk 1 White Paper Data Governance Table of contents Introduction... 3 Data Governance Program Goals in light of Privacy... 4 Data Governance Program Pillars...

More information

Information Governance Workshop. David Zanotta, Ph.D. Vice President, Global Data Management & Governance - PMO

Information Governance Workshop. David Zanotta, Ph.D. Vice President, Global Data Management & Governance - PMO Information Governance Workshop David Zanotta, Ph.D. Vice President, Global Data Management & Governance - PMO Recognition of Information Governance in Industry Research firms have begun to recognize the

More information

Vermont Enterprise Architecture Framework (VEAF) Master Data Management (MDM) Abridged Strategy Level 0

Vermont Enterprise Architecture Framework (VEAF) Master Data Management (MDM) Abridged Strategy Level 0 Vermont Enterprise Architecture Framework (VEAF) Master Data Management (MDM) Abridged Strategy Level 0 EA APPROVALS EA Approving Authority: Revision

More information

DAMA-DMBOK Functional Framework

DAMA-DMBOK Functional Framework DAMA-DMBOK Functional Framework Version 3.02 Mark Mosley September 10, 2008 2008 DAMA International All Rights Reserved Table of Contents Table of Contents... 1 About This Document... 1 Revision History...

More information

Why is Master Data Management getting both Business and IT Attention in Today s Challenging Economic Environment?

Why is Master Data Management getting both Business and IT Attention in Today s Challenging Economic Environment? Why is Master Data Management getting both Business and IT Attention in Today s Challenging Economic Environment? How Can You Gear-up For Your MDM initiative? Tamer Chavusholu, Enterprise Solutions Practice

More information

Project Management Office (PMO) Charter

Project Management Office (PMO) Charter Project Management Office (PMO) Charter Information & Communication Technologies 10 January 2008 Information & Communication Technologies Enterprise Application DISCLAIMER Services Project Management Office

More information

An RCG White Paper The Data Governance Maturity Model

An RCG White Paper The Data Governance Maturity Model The Dataa Governance Maturity Model This document is the copyrighted and intellectual property of RCG Global Services (RCG). All rights of use and reproduction are reserved by RCG and any use in full requires

More information

Enterprise Information Management

Enterprise Information Management Enterprise Information Management A Key Business Enabler July 2012 The Vision Auckland Council s vision is for Auckland to become the worlds most liveable city. In order to achieve this vision, it needs

More information

Data Governance in a Siloed Organization

Data Governance in a Siloed Organization The First Step in Master Data Management Data Governance in a Siloed Organization Kelle O Neal Managing Partner kelle@firstsanfranciscopartners.com Gurinder Bahl Principal Product Manager, Oracle gurinder.bahl@oracle.com

More information

Enterprise Data Sharing: Architecture approach and its evolution with Big Data. Presented by Gene Boomer CNO Financial Group

Enterprise Data Sharing: Architecture approach and its evolution with Big Data. Presented by Gene Boomer CNO Financial Group Enterprise Data Sharing: Architecture approach and its evolution with Big Data Presented by Gene Boomer CNO Financial Group History: Company Information CNO was incorporated in 1979, began operations in

More information

Data Governance Primer. A PPDM Workshop. March 2015

Data Governance Primer. A PPDM Workshop. March 2015 Data Governance Primer A PPDM Workshop March 2015 Agenda - SETTING THE STAGE - DATA GOVERNANCE BASICS - METHODOLOGY - KEYS TO SUCCESS Copyright 2015 Noah Consulting LLC. All Rights Reserved. Industry Drivers

More information

The Role of the BI Competency Center in Maximizing Organizational Performance

The Role of the BI Competency Center in Maximizing Organizational Performance The Role of the BI Competency Center in Maximizing Organizational Performance Gloria J. Miller Dr. Andreas Eckert MaxMetrics GmbH October 16, 2008 Topics The Role of the BI Competency Center Responsibilites

More information

Request for Information Page 1 of 9 Data Management Applications & Services

Request for Information Page 1 of 9 Data Management Applications & Services Request for Information Page 1 of 9 Data Management Implementation Analysis and Recommendations About MD Anderson M. D. Anderson is a component of the University of Texas System and was created by the

More information

The Key Components of a Data Governance Program. John R. Talburt, PhD, IQCP University of Arkansas at Little Rock Black Oak Analytics, Inc

The Key Components of a Data Governance Program. John R. Talburt, PhD, IQCP University of Arkansas at Little Rock Black Oak Analytics, Inc The Key Components of a Data Governance Program John R. Talburt, PhD, IQCP University of Arkansas at Little Rock Black Oak Analytics, Inc My Background Currently University of Arkansas at Little Rock Acxiom

More information

TDWI strives to provide course books that are content-rich and that serve as useful reference documents after a class has ended.

TDWI strives to provide course books that are content-rich and that serve as useful reference documents after a class has ended. Previews of TDWI course books offer an opportunity to see the quality of our material and help you to select the courses that best fit your needs. The previews cannot be printed. TDWI strives to provide

More information

Reliable Business Data Implementing A Successful Data Governance Strategy with Enterprise Modeling Standards

Reliable Business Data Implementing A Successful Data Governance Strategy with Enterprise Modeling Standards Reliable Business Data Implementing A Successful Data Governance Strategy with Enterprise Modeling Standards All Rights Reserved Welcome! Let Me Introduce Myself Marcie Barkin Goodwin President & CEO Axis

More information

STRATEGIC INTELLIGENCE WITH BI COMPETENCY CENTER. Student Rodica Maria BOGZA, Ph.D. The Bucharest Academy of Economic Studies

STRATEGIC INTELLIGENCE WITH BI COMPETENCY CENTER. Student Rodica Maria BOGZA, Ph.D. The Bucharest Academy of Economic Studies STRATEGIC INTELLIGENCE WITH BI COMPETENCY CENTER Student Rodica Maria BOGZA, Ph.D. The Bucharest Academy of Economic Studies ABSTRACT The paper is about the strategic impact of BI, the necessity for BI

More information

Better Data is Everyone s Job! Using Data Governance to Accelerate the Data Driven Organization

Better Data is Everyone s Job! Using Data Governance to Accelerate the Data Driven Organization Better Data is Everyone s Job! Using Data Governance to Accelerate the Data Driven Organization Intros - Name - Interest / Challenge - Role Data Governance is a Business Function Data governance should

More information

04 Executive Summary. 08 What is a BI Strategy. 10 BI Strategy Overview. 24 Getting Started. 28 How SAP Can Help. 33 More Information

04 Executive Summary. 08 What is a BI Strategy. 10 BI Strategy Overview. 24 Getting Started. 28 How SAP Can Help. 33 More Information 1 BI STRATEGY 3 04 Executive Summary 08 What is a BI Strategy 10 BI Strategy Overview 24 Getting Started 28 How SAP Can Help 33 More Information 5 EXECUTIVE SUMMARY EXECUTIVE SUMMARY TOP 10 BUSINESS PRIORITIES

More information

An Overview of Data Management

An Overview of Data Management An Overview of Data Management Recognition of Contribution The AICPA gratefully recognizes the invaluable contribution and involvement from the AICPA s IMTA Executive Committee Data Management Task Force

More information

IT Governance Overview

IT Governance Overview IT Governance Overview Contents Executive Summary... 3 What is IT Governance?... 4 Strategic Vision and IT Guiding Principles... 4 Campus-Wide IT Strategic Vision... 4 IT Guiding Principles... 4 The Scope

More information

Begin Your BI Journey

Begin Your BI Journey Begin Your BI Journey As part of long-term strategy, healthcare entities seek opportunities for continuous improvement in order to meet the changing needs of their patients while also maintaining compliance

More information

IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE. Copyright 2012, SAS Institute Inc. All rights reserved.

IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE. Copyright 2012, SAS Institute Inc. All rights reserved. IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE ABOUT THE PRESENTER Marc has been with SAS for 10 years and leads the information management practice for canada. Marc s area of specialty

More information

HOW TO USE THE DGI DATA GOVERNANCE FRAMEWORK TO CONFIGURE YOUR PROGRAM

HOW TO USE THE DGI DATA GOVERNANCE FRAMEWORK TO CONFIGURE YOUR PROGRAM HOW TO USE THE DGI DATA GOVERNANCE FRAMEWORK TO CONFIGURE YOUR PROGRAM Prepared by Gwen Thomas of the Data Governance Institute Contents Why Data Governance?... 3 Why the DGI Data Governance Framework

More information

The DGI Data Governance Framework

The DGI Data Governance Framework WHEN WHY to achieve 1 Develop a value statement 2 Prepare a roadmap 3 Plan and Fund 4 Design the program WHO WHAT 5 Deploy the program 6 Govern the data 7 Monitor, Measure, Report HOW The DGI Framework

More information

Administrative Data Governance Initiative. Charter

Administrative Data Governance Initiative. Charter Administrative Data Governance Initiative Charter December 2014 Vision New York University s administrative data is treated as an enterprise-wide asset and is readily available to support evidence-based

More information

Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement

Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement Bruce Eckert, National Practice Director, Advisory Group Ramesh Sakiri, Executive Consultant, Healthcare

More information

The amount of data you have doubles every 12 to 18 months. Information Asset Management that Drives Business Performance Jeremy Pritchard 10/06/2015

The amount of data you have doubles every 12 to 18 months. Information Asset Management that Drives Business Performance Jeremy Pritchard 10/06/2015 Information Asset Management that Drives Business Performance Jeremy Pritchard 1 The amount of data you have doubles every 12 to 18 months Thomas Redman Data-Driven 1 The average amount of inaccurate data

More information

Master Data Management Architecture

Master Data Management Architecture Master Data Management Architecture Version Draft 1.0 TRIM file number - Short description Relevant to Authority Responsible officer Responsible office Date introduced April 2012 Date(s) modified Describes

More information

Data Quality Assessment. Approach

Data Quality Assessment. Approach Approach Prepared By: Sanjay Seth Data Quality Assessment Approach-Review.doc Page 1 of 15 Introduction Data quality is crucial to the success of Business Intelligence initiatives. Unless data in source

More information

Master Data Management Defining & Measuring MDM Maturity, A Continuous Improvement Approach

Master Data Management Defining & Measuring MDM Maturity, A Continuous Improvement Approach Master Data Management Defining & Measuring MDM Maturity, A Continuous Improvement Approach DEFINE IMPROVE MEASURE Presentation by Mark Allen 1 About the Author Mark Allen has over 25 years of data management

More information

Data Governance Maturity Model Guiding Questions for each Component-Dimension

Data Governance Maturity Model Guiding Questions for each Component-Dimension Data Governance Maturity Model Guiding Questions for each Component-Dimension Foundational Awareness What awareness do people have about the their role within the data governance program? What awareness

More information

Solutions Master Data Governance Model and Mechanism

Solutions Master Data Governance Model and Mechanism www.pwc.com Solutions Master Data Governance Model and Mechanism Executive summary Organizations worldwide are rapidly adopting various Master Data Management (MDM) solutions to address and overcome business

More information

Project, Program & Portfolio Management Help Leading Firms Deliver Value

Project, Program & Portfolio Management Help Leading Firms Deliver Value in collaboration with Project, Program & Portfolio Help Leading Firms Deliver Value Managing Effectively & Efficiently Through an Enterprise PMO Program & Portfolio : Aligning IT Capabilities with Business

More information

Data Governance Overview

Data Governance Overview Data Governance Overview Anthony Chalker Managing Director August 12, 2014 2:05 2:55 Session What is Data Governance? Data Governance is the specification of decision rights and an accountability framework

More information

Trillium Consulting. Data Governance - Keep it Simple for Success. Organizational Alignment. (Part 4 in a 5-Part Series) February 4, 2010

Trillium Consulting. Data Governance - Keep it Simple for Success. Organizational Alignment. (Part 4 in a 5-Part Series) February 4, 2010 Trillium Consulting Data Governance - Keep it Simple for Success Organizational Alignment (Part 4 in a 5-Part Series) February 4, 2010 Jim Orr, Director Enterprise Data Strategy Data Governance - Organizational

More information

A Holistic Framework for Enterprise Data Management DAMA NCR

A Holistic Framework for Enterprise Data Management DAMA NCR A Holistic Framework for Enterprise Data Management DAMA NCR Deborah L. Brooks March 13, 2007 Agenda What is Enterprise Data Management? Why an EDM Framework? EDM High-Level Framework EDM Framework Components

More information

The role of Information Governance in an Enterprise Architecture Framework

The role of Information Governance in an Enterprise Architecture Framework The role of Information Governance in an Enterprise Architecture Framework Richard Jeffrey-Cook, MBCS, CITP, FIRMS Head of Information and Records Management In-Form Consult Ltd, Cardinal Point Park Road,

More information

The Seven Building Blocks of MDM: A Framework for Success

The Seven Building Blocks of MDM: A Framework for Success Research Publication Date: 11 October 2007 ID Number: G00151496 The Seven Building Blocks of MDM: A Framework for Success John Radcliffe Gartner's Seven Building Blocks of Master Data Management (MDM)

More information

Three Fundamental Techniques To Maximize the Value of Your Enterprise Data

Three Fundamental Techniques To Maximize the Value of Your Enterprise Data Three Fundamental Techniques To Maximize the Value of Your Enterprise Data Prepared for Talend by: David Loshin Knowledge Integrity, Inc. October, 2010 2010 Knowledge Integrity, Inc. 1 Introduction Organizations

More information

Enterprise Architecture: A Governance Framework

Enterprise Architecture: A Governance Framework Enterprise Architecture: A Governance Framework Part I: Embedding Architecture into the Organization Sohel Aziz, Thomas Obitz, Reva Modi and Santonu Sarkar The whitepapers arei related to two sessions

More information

Getting Started with Data Governance. Philip Russom TDWI Research Director, Data Management June 14, 2012

Getting Started with Data Governance. Philip Russom TDWI Research Director, Data Management June 14, 2012 Getting Started with Data Governance Philip Russom TDWI Research Director, Data Management June 14, 2012 Speakers Philip Russom Director, TDWI Research Daniel Teachey Senior Director of Marketing, DataFlux

More information

Business Intelligence Project Management 101

Business Intelligence Project Management 101 Business Intelligence Project Management 101 Managing BI Projects within the PMI Process Groups Too many times, Business Intelligence (BI) and Data Warehousing project managers are ill-equipped to handle

More information

GOVERNANCE DEFINED. Governance is the practice of making enterprise-wide decisions regarding an organization s informational assets and artifacts

GOVERNANCE DEFINED. Governance is the practice of making enterprise-wide decisions regarding an organization s informational assets and artifacts GOVERNANCE DEFINED Governance is the practice of making enterprise-wide decisions regarding an organization s informational assets and artifacts Governance over the use of technology assets can be seen

More information

Ten Steps to Quality Data and Trusted Information

Ten Steps to Quality Data and Trusted Information Ten Steps to Quality Data and Trusted Information ABSTRACT Do these situations sound familiar? Your company is involved in a data integration project such as building a data warehouse or migrating several

More information

Importance of Data Governance. Vincent Deeney Solutions Architect iway Software

Importance of Data Governance. Vincent Deeney Solutions Architect iway Software Importance of Data Governance Vincent Deeney Solutions Architect iway Software Some Puzzles Which way is this guy looking? Copyright 2007, Information Builders. Slide 2 Some Puzzles Copyright 2007, Information

More information

Gwen Thomas, The Data Governance Institute. Abstract

Gwen Thomas, The Data Governance Institute. Abstract WHEN WHY to achieve WHO WHAT HOW The DGI Framework Gwen Thomas, The Institute Abstract can mean different things to different people. Adding to this ambiguity, governance and stewardship can be perceived

More information

Information Management CoE A Pragmatic Approach

Information Management CoE A Pragmatic Approach Information Management CoE A Pragmatic Approach Peter LePine- Practice Director Tom Lovell - Data Governance Specialist Information Management & Business Intelligence Practice Information Management &

More information

Data Governance and Management

Data Governance and Management Data Governance and Management Regulated Industries Research Reference Gartner s research to illustrate the ubiquity of the data quality challenge. $100M+ $50M+ $10M+ $5M+ Don't Know Estimated annual costs

More information

Product to Customer. through MDM. Presented by Luminita Vollmer, MBA, CDMP, CBIP

Product to Customer. through MDM. Presented by Luminita Vollmer, MBA, CDMP, CBIP Product to Customer A Fundamental Change through MDM Presented by Luminita Vollmer, MBA, CDMP, CBIP May 1, 2012 Atlanda, GA EDW 2012 Contents Introduction The Focus of the Presentation Disclaimer The story

More information

THOMAS RAVN PRACTICE DIRECTOR TRA@PLATON.NET. An Effective Approach to Master Data Management. March 4 th 2010, Reykjavik WWW.PLATON.

THOMAS RAVN PRACTICE DIRECTOR TRA@PLATON.NET. An Effective Approach to Master Data Management. March 4 th 2010, Reykjavik WWW.PLATON. An Effective Approach to Master Management THOMAS RAVN PRACTICE DIRECTOR TRA@PLATON.NET March 4 th 2010, Reykjavik WWW.PLATON.NET Agenda Introduction to MDM The aspects of an effective MDM program How

More information

Big Data and Big Data Governance

Big Data and Big Data Governance The First Step in Information Big Data and Big Data Governance Kelle O Neal kelle@firstsanfranciscopartners.com 15-25- 9661 @1stsanfrancisco www.firstsanfranciscopartners.com Table of Contents Big Data

More information

Make the maturity model part of the effort to educate senior management, so they understand the phases of the EIM journey.

Make the maturity model part of the effort to educate senior management, so they understand the phases of the EIM journey. Research Publication Date: 5 December 2008 ID Number: G00160425 Gartner Introduces the EIM Maturity Model David Newman, Debra Logan Organizations cannot implement enterprise information management (EIM)

More information

Section 6. Governance & Investment Roadmap. Executive Governance

Section 6. Governance & Investment Roadmap. Executive Governance Section 6 Governance & Investment Roadmap Executive Governance Strong governance is critical to the success of a long-term, complex transformative initiative. The following section provides a high-level

More information

Masterminding Data Governance

Masterminding Data Governance Why Data Governance Matters The Five Critical Steps for Data Governance Data Governance and BackOffice Associates Masterminding Data Governance 1 of 11 A 5-step strategic roadmap to sustainable data quality

More information

DATA GOVERNANCE AND INSTITUTIONAL BUSINESS INTELLIGENCE WORKSHOP

DATA GOVERNANCE AND INSTITUTIONAL BUSINESS INTELLIGENCE WORKSHOP NERCOM, Wesleyan University DATA GOVERNANCE AND INSTITUTIONAL BUSINESS INTELLIGENCE WORKSHOP ORA FISH, EXECUTIVE DIRECTOR PROGRAM SERVICES OFFICE NEW YORK UNIVERSITY Data Governance Personal Journey Two

More information

Data Governance: Measure Twice, Cut Once. April 14, 2015

Data Governance: Measure Twice, Cut Once. April 14, 2015 Data Governance: Measure Twice, Cut Once April 14, 2015 Dr. Stephen Morgan, SVP & CMIO, Carilion Clinic Randy L. Thomas, FHIMSS, Associate Partner, Encore, A Quintiles Company DISCLAIMER: The views and

More information

Before getting started, we need to make sure we. Business Intelligence Project Management 101: Managing BI Projects Within the PMI Process Group

Before getting started, we need to make sure we. Business Intelligence Project Management 101: Managing BI Projects Within the PMI Process Group PMI Virtual Library 2010 Carole Wittemann Business Intelligence Project Management 101: Managing BI Projects Within the PMI Process Group By Carole Wittemann, PMP Abstract Too many times, business intelligence

More information

Summary Notes from the Table Leads and Plenary Sessions Data Management Enabling Open Data and Interoperability

Summary Notes from the Table Leads and Plenary Sessions Data Management Enabling Open Data and Interoperability Summary Notes from the Table Leads and Plenary Sessions Data Management Enabling Open Data and Interoperability Summary of Responses to Questions DAMA Segment Question 1 Question 2 Question 3 1. Governance

More information

Agile Master Data Management A Better Approach than Trial and Error

Agile Master Data Management A Better Approach than Trial and Error Agile Master Data Management A Better Approach than Trial and Error A whitepaper by First San Francisco Partners First San Francisco Partners Whitepaper Executive Summary Market leading corporations are

More information

Solutions. Master Data Governance Model and the Mechanism

Solutions. Master Data Governance Model and the Mechanism Solutions Master Data Governance Model and the Mechanism Executive summary Organizations worldwide are rapidly adopting various Master Data Management (MDM) solutions to address and overcome business issues

More information

What to Look for When Selecting a Master Data Management Solution

What to Look for When Selecting a Master Data Management Solution What to Look for When Selecting a Master Data Management Solution What to Look for When Selecting a Master Data Management Solution Table of Contents Business Drivers of MDM... 3 Next-Generation MDM...

More information

APPROACH TO EIM. Bonnie O Neil, Gambro-BCT Mike Fleckenstein, PPC

APPROACH TO EIM. Bonnie O Neil, Gambro-BCT Mike Fleckenstein, PPC USING A FRAMEWORK APPROACH TO EIM Bonnie O Neil, Gambro-BCT Mike Fleckenstein, PPC AGENDA The purpose of an EIM Framework Overview of Gartner's Framework Elements of an EIM strategy t Implementation of

More information

Five Core Principles of Successful Business Architecture. STA Group, LLC Revised: May 2013

Five Core Principles of Successful Business Architecture. STA Group, LLC Revised: May 2013 Five Core Principles of Successful Business Architecture STA Group, LLC Revised: May 2013 Executive Summary This whitepaper will provide readers with important principles and insights on business architecture

More information

Data Governance from the ground up! A data architect s approach to data governance

Data Governance from the ground up! A data architect s approach to data governance Data Governance from the ground up! A data architect s approach to data governance Steven Tuften DAMA Chapter, Sydney 21 Feb 2012 Allianz Australia General Insurance Company of the Year 2011* Best General

More information

UC Berkeley Campus Data Warehouse Governance and Delivery Organization Proposal Campus Data Warehouse / Business Intelligence Competency Center

UC Berkeley Campus Data Warehouse Governance and Delivery Organization Proposal Campus Data Warehouse / Business Intelligence Competency Center Patrick McGrath, David A. Greenbaum IST Data Services In 2005, the UC Berkeley Data Stewardship Council sponsored a project to assess the feasibility, challenges and potential benefits of developing a

More information

Effective Data Governance

Effective Data Governance perspective Effective Data Governance Abstract Data governance is no more just another item that is good to talk about and nice to have, for global data management organizations. This PoV looks into why

More information

Enabling Data Quality

Enabling Data Quality Enabling Data Quality Establishing Master Data Management (MDM) using Business Architecture supported by Information Architecture & Application Architecture (SOA) to enable Data Quality. 1 Background &

More information

ASAE s Job Task Analysis Strategic Level Competencies

ASAE s Job Task Analysis Strategic Level Competencies ASAE s Job Task Analysis Strategic Level Competencies During 2013, ASAE funded an extensive, psychometrically valid study to document the competencies essential to the practice of association management

More information

Regis University Web Governance Policy. May 2012

Regis University Web Governance Policy. May 2012 Regis University Web Governance Policy May 2012 Table of Contents Web Governance Policy Ownership... 3 Goals of the Web Governance Policy... 4 Guiding Principles... 5 Governance Roles and Responsibilities...

More information

QUALITY MANAGEMENT PRINCIPLES

QUALITY MANAGEMENT PRINCIPLES QUALITY MANAGEMENT PRINCIPLES The following text is an integral reproduction of the content of the document "Quality Management Principles". Introduction This document introduces the eight quality management

More information

Welcome to the Data Analytics Toolkit PowerPoint presentation on data governance. The complexity of healthcare delivery, the exploding demand for

Welcome to the Data Analytics Toolkit PowerPoint presentation on data governance. The complexity of healthcare delivery, the exploding demand for Welcome to the Data Analytics Toolkit PowerPoint presentation on data governance. The complexity of healthcare delivery, the exploding demand for actionable information, pressure for greater public accountability,

More information

Existing Technologies and Data Governance

Existing Technologies and Data Governance Existing Technologies and Data Governance Adriaan Veldhuisen Product Manager Privacy & Security Teradata, a Division of NCR 10 June, 2004 San Francisco, CA 6/10/04 1 My Assumptions for Data Governance

More information

Business Glossary. Data Governance; Yet there is a ton of Technology. Aspen Information Solutions, Inc Castle Rock 720 352-8575 www.aspensols.

Business Glossary. Data Governance; Yet there is a ton of Technology. Aspen Information Solutions, Inc Castle Rock 720 352-8575 www.aspensols. Business Glossary Business Intelligence Data Architecture Master Data Management Data Governance; It s all about the People and Process Yet there is a ton of Technology Aspen Information Solutions, Inc

More information

Medicaid Enterprise Data Governance Approach. MESConference August 21, 2012 Rashmi Menon, Deloitte Consulting LLP

Medicaid Enterprise Data Governance Approach. MESConference August 21, 2012 Rashmi Menon, Deloitte Consulting LLP Medicaid Enterprise Data Governance Approach MESConference August 21, 2012 Rashmi Menon, Deloitte Consulting LLP Agenda Session Objectives Common Barriers and Key Benefits to Data Governance A Framework

More information

Expanding Data Governance Into EIM Governance. Gwen.Thomas@DataGovernance.com 321-438-0774. The Data Governance Institute page 1

Expanding Data Governance Into EIM Governance. Gwen.Thomas@DataGovernance.com 321-438-0774. The Data Governance Institute page 1 Gwen Thomas President, page 1 has three arms: 1. Training/consulting 2. Membership (The Data Governance & Stewardship Community of Practice) ce) at www.datastewardship.com 3. Information services, publishing

More information

Jump Starting Data Governance: a Program Manager's Story

Jump Starting Data Governance: a Program Manager's Story Jump Starting Data Governance: a Program Manager's Story ABSTRACT One of the many challenges facing a federal organization endeavoring to implement an enterprise Data Governance framework involves the

More information

And Modeling Best Practices. 2007-2008 Axis Software Designs, Inc. All Rights Reserved

And Modeling Best Practices. 2007-2008 Axis Software Designs, Inc. All Rights Reserved Data Governance And Modeling Best Practices All Rights Reserved Welcome! Let Me Introduce Myself Marcie Barkin Goodwin President & CEO Axis Software Designs mbg@axisboulder.com www.axisboulder.com All

More information

Breaking Down the Silos: A 21st Century Approach to Information Governance. May 2015

Breaking Down the Silos: A 21st Century Approach to Information Governance. May 2015 Breaking Down the Silos: A 21st Century Approach to Information Governance May 2015 Introduction With the spotlight on data breaches and privacy, organizations are increasing their focus on information

More information

Information Governance

Information Governance Information Governance Michael Goul Professor and Chair Department of Information Systems W. P. Carey School of Business, Arizona State University 05.22.2013 Arizona Digital Government Summit Agenda Some

More information