A Holistic Framework for Enterprise Data Management DAMA NCR

Size: px
Start display at page:

Download "A Holistic Framework for Enterprise Data Management DAMA NCR"

Transcription

1 A Holistic Framework for Enterprise Data Management DAMA NCR Deborah L. Brooks March 13, 2007

2 Agenda What is Enterprise Data Management? Why an EDM Framework? EDM High-Level Framework EDM Framework Components EDM Framework Activity View EDM Framework Artifact View Conclusion 1

3 It s a lot like an elephant What is Enterprise Data Management? (from the parable The Six Blind Men and the Elephant ) 2

4 What is Enterprise Data Management? It depends on what your perspective is: Chief Information Officer Data Strategist Data Architect Data Analyst Data Administrator Database Administrator Data Owner / Steward Data Sharing Stakeholder Data Quality Specialist 3

5 Why an EDM Framework? Data Management professionals need to take a holistic approach to Enterprise Data Management that encompasses all perspectives to: Ensure that data is managed as an enterprise asset Ensure the definition and development of data solutions (transactional, analytical, portal) that are: Robust Scalable High-Performance Interoperable Secure High-Quality 4

6 EDM High-Level Framework Data Strategy & & Planning Vision Strategy Portfolio/Investments Goals & Objectives Scope Resources (Staff, Budget, Technology) DM Activities & Artifacts Data Architecture & Data Architecture & Design Conceptual Data Model Logical Data Model Physical Data Model Information Flows/Interfaces Business Rules Data Transformation Rules Data Engineering & Data Engineering & Operations Database Impl. & Maintenance Data Conversion Backup & Recovery Archiving & Retention Logging & Audit Performance & Availability Data Access & Data Access & Exchange Data Security & Privacy Data Quality Data Harmonization Data Registration Data Integration Data Presentation Data Governance Governance Framework/Oversight Ownership & Stewardship Policy & Procedures SLAs & Metrics Education & Training Outreach DM Foundation Name Metadata Metadata Definition & Semantics Management Domain Data Standards Modeling Metadata Documentation Structure Quality Lineage Security & Privacy Rules Stakeholders/COI Data Sharing Owner & Steward Implementation Operations Data Tools & & Technologies Repository Conversion Profiling & Cleansing Modeling DBMS Integration Registry Utilities Portal Business Intelligence Data Mining Decision Analytics 5

7 Data Strategy & Planning EDM Framework Components Activities Vision Definition Strategy Planning Investment Planning Goals & Objectives Setting Scope Definition Resource Planning Transition Planning Artifacts Vision Statement Data Management Strategy Investment Management Plan Goals & Objectives Scope Resource Plan Transition Plan 6

8 Data Architecture & Design EDM Framework Components Activities Data Requirements Definition Data Analysis Data Modeling Database Design Information Flow / Interface Definition Rule Definition Artifacts Data Requirements Conceptual Data Model Logical Data Model Physical Data Model / Database Design Data Interface / Service Specification Data Conversion Specification Business Rules 7

9 EDM Framework Components Data Engineering & Operations Activities Database Implementation & Maintenance Data Conversion Backup & Recovery Artifacts Production Database Data Management Plan Disaster Recovery Plan Archiving & Retention Logging & Audit Performance Tuning 8

10 Data Access & Exchange EDM Framework Components Activities Data Security Data Profiling Data Harmonization Data Integration Data Registration DB Connection Configuration Artifacts Data Access Privileges Privacy Impact Assessment Data Quality Assessment Data Registry Database Connections 9

11 Data Governance EDM Framework Components Activities Governance Establishment & Oversight Ownership & Stewardship Policy & Procedure Definition Service Level Agreements (SLA) & Metric Definition Education & Training Artifacts Governance Framework Policy & Procedures Service Level Agreements (SLA) & Metrics Classes & Seminars Communications Outreach 10

12 EDM Framework Components Metadata Name Definition & Semantics Domain Structure Lineage Rules Quality Security & Privacy Stakeholders / Community of Interest (COI) Owner & Steward Implementation Operations 11

13 Data Standards Modeling Metadata Documentation Data Access Data Exchange EDM Framework Components 12

14 EDM Framework Components Data Tools & Technologies Repository Modeling Registry Conversion DBMS & Utilities Profiling & Cleansing Data Integration Database Access Business Intelligence Data / Text Mining Decision Analytics Statistical Analysis 13

15 EDM Framework Activity View DM Activities Data Strategy & & Planning Data Architecture & Data Architecture & Design Design Data Conceptual Requirements Data Model Definition Data Logical Analysis Data Model Data Physical Modeling Data Model Database Information Design Flows/Interfaces Info. Business Flow/Interface Rules Definition Rule Data Definition Transformation Rules Vision Vision Definition Scope Definition Goals & Objectives Transition Planning Strategy Strategy Development Goals & Scope Objectives Setting Investment Portfolio/Investments Planning Resource Resources Planning (Staff, Budget, Technology) Data Engineering & Data Engineering & Operations Operations Database Database Impl. Impl. & Maintenance Maintenance Data Data Conversion Conversion Backup Backup & Recovery Recovery Archiving & Retention Logging & Audit Performance Performance Tuning & Availability Data Access & Data Access & Exchange Exchange Data Data Security Security & Privacy Data Data Profiling Quality Data Data Harmonization Harmonization Data Registration Integration Data Integration Registration Data DB Connection Presentation Configuration Data Governance Governance Framework/Oversight Establishment & Oversight Ownership & Stewardship Policy & Procedures Definition SLAs & MetricsDefinition Education & Training Outreach DM Foundation Metadata Management Data Standards Name Definition & Semantics Domain Modeling Metadata Documentation Structure Quality Lineage Security & Privacy Rules Stakeholders/COI Data Access Sharing Data Exchange Owner & Steward Implementation Operations Data Tools & & Technologies Repository Modeling DBMS Conversion & Utilities Profiling Data & Cleansing Integration Profiling DBMS & Cleansing Integration Database Access Registry Conversion Utilities Portal Data/Text Mining Business Intelligence Data Statistical Mining Analysis Decision Analytics 14

16 EDM Framework Artifact View Data Strategy & & Planning Vision Vision Statement Goals Goals & Objectives & Objectives Transition Plan Data Strategy Management Strategy Scope Scope Portfolio/Investments Management Plan Resources (Staff, Plan Budget, Technology) DM Artifacts Data Architecture & Data Engineering & Data Architecture & Data Engineering & Design Operations Design Operations Data Requirements Production Database Conceptual Data Model Database Impl. & Maintenance Conceptual Data Model Logical Data Model Data Data Conversion Management Plan Logical Data Model Physical Data Model Backup Disaster & Recovery Recovery Plan Physical Data Model/DB Design Information Flows/Interfaces Archiving & Retention Data Interface/Service Specification Business Rules Logging & Audit Data Conversion Specification Data Transformation Rules Performance & Availability Business Rules Data Access & Exchange Data Access Privileges Privacy Impact Assessment Data Quality Assessment Data Registry Database Connections Data Governance Governance Governance Framework/Oversight Ownership & Policy Stewardship & Procedures Policy & Procedures SLAs & Metrics Education Classes & Seminars Training Outreach Communications DM Foundation Metadata Management Data Standards Name Definition & Semantics Domain Modeling Metadata Documentation Structure Quality Lineage Security & Privacy Rules Stakeholders/COI Data Access Sharing Data Exchange Owner/Steward & Implementation Operations Data Tools & & Technologies Repository Modeling DBMS Conversion & Utilities Profiling Data & Cleansing Integration Profiling DBMS & Cleansing Integration Database Access Registry Conversion Utilities Portal Data/Text Mining Business Intelligence Data Statistical Mining Analysis Decision Analytics 15

17 Conclusion The scope of Enterprise Data Management is both broad and deep, requiring a holistic, disciplined approach to ensure the definition and development of robust, scalable, highperformance, interoperable, secure and high-quality data solutions and the management of data as an enterprise asset. Metadata, Data Standards and Data Tools and Technologies form the underlying foundation for all Data Management Activities and Artifacts. 16

18 Conclusion Don t be one of the 6 blind men. There are many perspectives other than your own that comprise Enterprise Data Management, so remember to take a holistic view when working on a data-related initiative. 17

19 Questions Deborah L. Brooks The MITRE Corporation

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

US Department of Education Federal Student Aid Integration Leadership Support Contractor June 1, 2007

US Department of Education Federal Student Aid Integration Leadership Support Contractor June 1, 2007 US Department of Education Federal Student Aid Integration Leadership Support Contractor June 1, 2007 Draft Enterprise Data Management Data Policies Final i Executive Summary This document defines data

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 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

October 8, 2014. User Conference. Ronald Layne Manager, Data Quality and Data Governance rlayne@gwu.edu

October 8, 2014. User Conference. Ronald Layne Manager, Data Quality and Data Governance rlayne@gwu.edu Ensuring the highest quality data is delivered throughout the university providing valuable information serving individual and organizational need October 8, 2014 Ronald Layne Manager, Data Quality and

More information

Design Approach for a Data Sharing Environment. Presented by Gene Boomer CNO Financial

Design Approach for a Data Sharing Environment. Presented by Gene Boomer CNO Financial Design Approach for a Data Sharing Environment Presented by Gene Boomer CNO Financial Agenda Discussion topics include: Why Data Sharing Impetus for establishing such an environment The Artifacts Design

More information

Data as an Asset. Data Value

Data as an Asset. Data Value Foundation as an Asset Glue Reply we believe that data is the key to business advantage and should therefore be viewed and managed as a corporate asset. Our approach to Total delvers pragmatic and tangible

More information

Big Data for Government Symposium

Big Data for Government Symposium @TECHTrain Big Data for Government Symposium http://www.ttcus.com Linkedin/Groups: Technology Training Corporation DHS BIG DATA CAPABILITIES WHAT TO USE Focus is on meeting Mission Decision Needs Gathering

More information

Big Data Analytics Roadmap Energy Industry

Big Data Analytics Roadmap Energy Industry Douglas Moore, Principal Consultant, Architect June 2013 Big Data Analytics Energy Industry Agenda Why Big Data in Energy? Imagine Overview - Use Cases - Readiness Analysis - Architecture - Development

More information

Architecture Principles

Architecture Principles Architecture Principles Table of Contents 1 GENERAL INFORMATION...2 2 INTENT...2 3 OWNERSHIP...2 4 APPLYING THE PRINCIPLES...2 5 ARCHITECTURAL OBJECTIVES...2 6 ARCHITECTURE PRINCIPLES...3 6.1 General...

More information

Salesforce Certified Data Architecture and Management Designer. Study Guide. Summer 16 TRAINING & CERTIFICATION

Salesforce Certified Data Architecture and Management Designer. Study Guide. Summer 16 TRAINING & CERTIFICATION Salesforce Certified Data Architecture and Management Designer Study Guide Summer 16 Contents SECTION 1. PURPOSE OF THIS STUDY GUIDE... 2 SECTION 2. ABOUT THE SALESFORCE CERTIFIED DATA ARCHITECTURE AND

More information

Creating a Corporate Integrated Data Environment through Stewardship

Creating a Corporate Integrated Data Environment through Stewardship The Open Group Creating a Corporate Integrated Data Environment through Stewardship Enterprise Architecture Practitioners Conference Given January 2007 San Diego Presented by: Robert (Bob) Weisman CGI

More information

Data Management Maturity Model. Overview

Data Management Maturity Model. Overview Data Management Maturity Model Overview UPMC Center of Excellence Pittsburgh Jul 29, 2013 Data Management Maturity Model - Background A broad framework encompassing foundational data management capabilities,

More information

Knowledgent White Paper Series. Developing an MDM Strategy WHITE PAPER. Key Components for Success

Knowledgent White Paper Series. Developing an MDM Strategy WHITE PAPER. Key Components for Success Developing an MDM Strategy Key Components for Success WHITE PAPER Table of Contents Introduction... 2 Process Considerations... 3 Architecture Considerations... 5 Conclusion... 9 About Knowledgent... 10

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

A McKnight Associates, Inc. White Paper: Effective Data Warehouse Organizational Roles and Responsibilities

A McKnight Associates, Inc. White Paper: Effective Data Warehouse Organizational Roles and Responsibilities A McKnight Associates, Inc. White Paper: Effective Data Warehouse Organizational Roles and Responsibilities Numerous roles and responsibilities will need to be acceded to in order to make data warehouse

More information

Business Intelligence for the Chief Data Officer

Business Intelligence for the Chief Data Officer Aug 20, 2014 DAMA - CHICAGO Business Intelligence for the Chief Data Officer Don Soulsby Sandhill Consultants Who we are: Sandhill Consultants Sandhill is a global company servicing the data, process modeling

More information

How can different parties partner together to work towards a

How can different parties partner together to work towards a Preparing for Big Data Improved operational performance, increased coordination of care, and reduced medical error only begin to scratch the surface of what big data has to offer in an age of advancing

More information

Guidelines for Best Practices in Data Management Roles and Responsibilities

Guidelines for Best Practices in Data Management Roles and Responsibilities Guidelines for Best Practices in Data Management Roles and Responsibilities September 2010 Data Architecture Advisory Committee A subcommittee of Information Architecture & Standards Branch Table of Contents

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

Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document

Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document Approval Contacts Sign-off Copy Distribution (List of Names) Revision History Definitions (Organization

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

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

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

New York Health Benefit Exchange

New York Health Benefit Exchange New York Health Benefit Exchange Blueprint Summary for 9.7.4 Data Management Plan October 26, 2012 Item Number Topic 9.7.4 Data Management Plan Version Number Modified By Revision Date Description of Change

More information

Industry Models and Information Server

Industry Models and Information Server 1 September 2013 Industry Models and Information Server Data Models, Metadata Management and Data Governance Gary Thompson (gary.n.thompson@ie.ibm.com ) Information Management Disclaimer. All rights reserved.

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

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

Actionable Awareness. 5/12/2015 TEI Proprietary TEI Proprietary

Actionable Awareness. 5/12/2015 TEI Proprietary TEI Proprietary Actionable Awareness Data - well defined, pedigreed, and connected. Information intelligently integrated data Knowledge carefully applied information to a subject area Actionable Awareness correctly applied

More information

5 FAM 630 DATA MANAGEMENT POLICY

5 FAM 630 DATA MANAGEMENT POLICY 5 FAM 630 DATA MANAGEMENT POLICY (Office of Origin: IRM/BMP/OCA/GPC) 5 FAM 631 GENERAL POLICIES a. Data management incorporates the full spectrum of activities involved in handling data, including its

More information

Data Governance 8 Steps to Success

Data Governance 8 Steps to Success Data Governance 8 Steps to Success Anne Marie Smith, Ph.D. Principal Consultant Asmith @ alabamayankeesystems.com http://www.alabamayankeesystems.com 1 Instructor Background Internationally recognized

More information

Data Governance for Master Data Management and Beyond

Data Governance for Master Data Management and Beyond Data Governance for Master Data Management and Beyond A White Paper by David Loshin WHITE PAPER Table of Contents Aligning Information Objectives with the Business Strategy.... 1 Clarifying the Information

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

How To Be An Architect

How To Be An Architect February 9, 2015 February 9, 2015 Page i Table of Contents General Characteristics... 1 Career Path... 3 Typical Common Responsibilities for the ure Role... 4 Typical Responsibilities for Enterprise ure...

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

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

Master Data Management

Master Data Management Master Data Management Managing Data as an Asset By Bandish Gupta Consultant CIBER Global Enterprise Integration Practice Abstract: Organizations used to depend on business practices to differentiate them

More information

ISSA Guidelines on Master Data Management in Social Security

ISSA Guidelines on Master Data Management in Social Security ISSA GUIDELINES ON INFORMATION AND COMMUNICATION TECHNOLOGY ISSA Guidelines on Master Data Management in Social Security Dr af t ve rsi on v1 Draft version v1 The ISSA Guidelines for Social Security Administration

More information

Annexure-A (Qualifications & Job Description with Roles & Responsibilities) Job Description

Annexure-A (Qualifications & Job Description with Roles & Responsibilities) Job Description Annexure-A (Qualifications & Job Description with Roles & Responsibilities) Job Description Position / Designation Program Manager Level / Rank Principal Consultant Educational Qualifications Experience

More information

Data Management & Business Analytics

Data Management & Business Analytics MindLance, Inc., established in 1999, is a leading provider of consulting, outsourcing and staffing services to Fortune 1000 and middle-market clients. A workforce of nearly 400 professionals are constantly

More information

How to avoid building a data swamp

How to avoid building a data swamp How to avoid building a data swamp Case studies in Hadoop data management and governance Mark Donsky, Product Management, Cloudera Naren Korenu, Engineering, Cloudera 1 Abstract DELETE How can you make

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

Data Management. Arkansas Approach

Data Management. Arkansas Approach Data Management Arkansas Approach Executive Summary Data is the oil of the 21st century. These succinct words by Peter Sondergaard, head of Gartner Research, reflects the growing importance accorded to

More information

DATA GOVERNANCE AT UPMC. A Summary of UPMC s Data Governance Program Foundation, Roles, and Services

DATA GOVERNANCE AT UPMC. A Summary of UPMC s Data Governance Program Foundation, Roles, and Services DATA GOVERNANCE AT UPMC A Summary of UPMC s Data Governance Program Foundation, Roles, and Services THE CHALLENGE Data Governance is not new work to UPMC. Employees throughout our organization manage data

More information

Assessing and implementing a Data Governance program in an organization

Assessing and implementing a Data Governance program in an organization Assessing and implementing a Data Governance program in an organization Executive Summary As companies realize the importance of data and the challenges they face in integrating the data from various sources,

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

POLAR IT SERVICES. Business Intelligence Project Methodology

POLAR IT SERVICES. Business Intelligence Project Methodology POLAR IT SERVICES Business Intelligence Project Methodology Table of Contents 1. Overview... 2 2. Visualize... 3 3. Planning and Architecture... 4 3.1 Define Requirements... 4 3.1.1 Define Attributes...

More information

Data warehouse and Business Intelligence Collateral

Data warehouse and Business Intelligence Collateral Data warehouse and Business Intelligence Collateral Page 1 of 12 DATA WAREHOUSE AND BUSINESS INTELLIGENCE COLLATERAL Brains for the corporate brawn: In the current scenario of the business world, the competition

More information

Building a Data Quality Scorecard for Operational Data Governance

Building a Data Quality Scorecard for Operational Data Governance Building a Data Quality Scorecard for Operational Data Governance A White Paper by David Loshin WHITE PAPER Table of Contents Introduction.... 1 Establishing Business Objectives.... 1 Business Drivers...

More information

JOURNAL OF OBJECT TECHNOLOGY

JOURNAL OF OBJECT TECHNOLOGY JOURNAL OF OBJECT TECHNOLOGY Online at www.jot.fm. Published by ETH Zurich, Chair of Software Engineering JOT, 2008 Vol. 7, No. 8, November-December 2008 What s Your Information Agenda? Mahesh H. Dodani,

More information

Technical Layer (Technical Interoperability) Information Layer (Information Interoperability. Business Layer (Business Process Interoperability)

Technical Layer (Technical Interoperability) Information Layer (Information Interoperability. Business Layer (Business Process Interoperability) Layers of Interoperability Technical Layer (Technical Interoperability) Information Layer (Information Interoperability Business Layer (Business Process Interoperability) Information Interoperability Identify

More information

Protecting Official Records as Evidence in the Cloud Environment. Anne Thurston

Protecting Official Records as Evidence in the Cloud Environment. Anne Thurston Protecting Official Records as Evidence in the Cloud Environment Anne Thurston Introduction In a cloud computing environment, government records are held in virtual storage. A service provider looks after

More information

Master Data Management

Master Data Management Master Data Management Patrice Latinne ULB 30/3/2010 Agenda Master Data Management case study Who & services roadmap definition data How What Why technology styles business 29/03/2010 2 Why Master Data

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

A discussion of information integration solutions November 2005. Deploying a Center of Excellence for data integration.

A discussion of information integration solutions November 2005. Deploying a Center of Excellence for data integration. A discussion of information integration solutions November 2005 Deploying a Center of Excellence for data integration. Page 1 Contents Summary This paper describes: 1 Summary 1 Introduction 2 Mastering

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

Services Providers. Ivan Soto

Services Providers. Ivan Soto SOP s for Managing Application Services Providers Ivan Soto Learning Objectives At the end of this session we will have covered: Types of Managed Services Outsourcing process Quality expectations for Managed

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

Data Governance Best Practices

Data Governance Best Practices Data Governance Best Practices Rebecca Bolnick Chief Data Officer Maya Vidhyadharan Data Governance Manager Arizona Department of Education Key Issues 1. What is Data Governance and why is it important?

More information

Master Data Management

Master Data Management Master Data Management David Loshin AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO Ик^И V^ SAN FRANCISCO SINGAPORE SYDNEY TOKYO W*m k^ MORGAN KAUFMANN PUBLISHERS IS AN IMPRINT OF ELSEVIER

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

Information Management initiatives in Latin-American Countries. By: John Salazar October 2011

Information Management initiatives in Latin-American Countries. By: John Salazar October 2011 Information Management initiatives in Latin-American Countries By: John Salazar October 2011 John Salazar Introduction Information Mgm understanding Expending trends in Latin-America Agenda Our experience

More information

INFORMATION TECHNOLOGY STANDARD

INFORMATION TECHNOLOGY STANDARD COMMONWEALTH OF PENNSYLVANIA DEPARTMENT OF PUBLIC WELFARE INFORMATION TECHNOLOGY STANDARD Name Of Standard: Data Warehouse Standards Domain: Enterprise Knowledge Management Number: Category: STD-EKMS001

More information

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya Chapter 6 Basics of Data Integration Fundamentals of Business Analytics Learning Objectives and Learning Outcomes Learning Objectives 1. Concepts of data integration 2. Needs and advantages of using data

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

Data Governance: From theory to practice. Zeeman van der Merwe Manager: Information Integrity and Analysis, ACC Zeeman.vanderMerwe@Acc.co.

Data Governance: From theory to practice. Zeeman van der Merwe Manager: Information Integrity and Analysis, ACC Zeeman.vanderMerwe@Acc.co. Data Governance: From theory to practice Zeeman van der Merwe Manager: Information Integrity and Analysis, ACC Zeeman.vanderMerwe@Acc.co.nz 2010 SUNZ Conference 16 February 2010 Why Data Governance? Why

More information

IPL Service Definition - Master Data Management for Cloud Related Services

IPL Service Definition - Master Data Management for Cloud Related Services IPL Proposal April 2014 IPL Service Definition - Master Data Management for Cloud Related Services Project: Date: 10 April 2014 Issue Number: Customer: Crown Commercial Service Page 1 of 11 IPL Information

More information

UNCLASSIFIED. Army Data Governance. COL Linda Jantzen CIO/G-6 Acting Dir, Army Architecture Integration Center February 17, 2016 UNCLASSIFIED

UNCLASSIFIED. Army Data Governance. COL Linda Jantzen CIO/G-6 Acting Dir, Army Architecture Integration Center February 17, 2016 UNCLASSIFIED Army Data Governance COL Linda Jantzen CIO/G-6 Acting Dir, Army Architecture Integration Center February 17, 2016 Agenda Current Environment Data Governance Army Data Strategy Standards and Compliance

More information

HIM Master s Degree Competencies* Domains, Subdomains, and Tasks 2007 and Beyond

HIM Master s Degree Competencies* Domains, Subdomains, and Tasks 2007 and Beyond HIM Master s Degree Competencies* Domains, Subdomains, and Tasks 2007 and Beyond I. Domain: Health Data Management A. Data Structure 1. Evaluate reference terminologies to satisfy organizational information

More information

Government's Adoption of SOA and SOA Examples

Government's Adoption of SOA and SOA Examples Government's Adoption of SOA and SOA Examples Presented by : Ajay Budhraja, Chief of Enterprise Services ME (Engg), MS (Management), PMP, CICM, CSM, ECM (Master) AIIM, ITIL-F Copyright 2008 Ajay Budhraja

More information

Big Data for Higher Education and Research Growth

Big Data for Higher Education and Research Growth Big Data for Higher Education and Research Growth Hao Wang, Ph.D. Chief Information Officer The State University of New York 8/1/2013 What is Big Data? 8/1/2013 Draft for Discussion 2 Big Data 250 Years

More information

... Foreword... 17. ... Preface... 19

... Foreword... 17. ... Preface... 19 ... Foreword... 17... Preface... 19 PART I... SAP's Enterprise Information Management Strategy and Portfolio... 25 1... Introducing Enterprise Information Management... 27 1.1... Defining Enterprise Information

More information

MDM and Data Governance

MDM and Data Governance MDM and Data Governance T-86.5161 Janne J. Korhonen Helsinki University of Technology Lecture Contents Master Data Management, lecture (40 min) SOA Characteristics and MDM, group work (60 min) Break (5

More information

North Highland Data and Analytics. Data Governance Considerations for Big Data Analytics

North Highland Data and Analytics. Data Governance Considerations for Big Data Analytics North Highland and Analytics Governance Considerations for Big Analytics Agenda Traditional BI/Analytics vs. Big Analytics Types of Requiring Governance Key Considerations Information Framework Organizational

More information

Enterprise Data Management for SAP. Gaining competitive advantage with holistic enterprise data management across the data lifecycle

Enterprise Data Management for SAP. Gaining competitive advantage with holistic enterprise data management across the data lifecycle Enterprise Data Management for SAP Gaining competitive advantage with holistic enterprise data management across the data lifecycle By having industry data management best practices, from strategy through

More information

Enterprise Infrastructure Architecture

Enterprise Infrastructure Architecture Enterprise Infrastructure Architecture RL Information Consulting LLC January 7, 2003 The Information contained in this presentation is based on Intellectual Capital provided by David Merrill and Copyrighted

More information

DATA GOVERNANCE AND DATA QUALITY

DATA GOVERNANCE AND DATA QUALITY DATA GOVERNANCE AND DATA QUALITY Kevin Lewis Partner Enterprise Management COE Barb Swartz Account Manager Teradata Government Systems Objectives of the Presentation Show that Governance and Quality are

More information

Enable Business Agility and Speed Empower your business with proven multidomain master data management (MDM)

Enable Business Agility and Speed Empower your business with proven multidomain master data management (MDM) Enable Business Agility and Speed Empower your business with proven multidomain master data management (MDM) Customer Viewpoint By leveraging a well-thoughtout MDM strategy, we have been able to strengthen

More information

Service Oriented Architecture and the DBA Kathy Komer Aetna Inc. New England DB2 Users Group. Tuesday June 12 1:00-2:15

Service Oriented Architecture and the DBA Kathy Komer Aetna Inc. New England DB2 Users Group. Tuesday June 12 1:00-2:15 Service Oriented Architecture and the DBA Kathy Komer Aetna Inc. New England DB2 Users Group Tuesday June 12 1:00-2:15 Service Oriented Architecture and the DBA What is Service Oriented Architecture (SOA)

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

What We ll Cover. Defensible Disposal of Records and Information Litigation Holds Information Governance the future of records management programs

What We ll Cover. Defensible Disposal of Records and Information Litigation Holds Information Governance the future of records management programs What We ll Cover Foundations of Records and Information Management Creating a Defensible Retention Schedule Paper v. Electronic Records Organization and Retrieval of Records and Information Records Management

More information

Supporting Your Data Management Strategy with a Phased Approach to Master Data Management WHITE PAPER

Supporting Your Data Management Strategy with a Phased Approach to Master Data Management WHITE PAPER Supporting Your Data Strategy with a Phased Approach to Master Data WHITE PAPER SAS White Paper Table of Contents Changing the Way We Think About Master Data.... 1 Master Data Consumers, the Information

More information

Data Management Maturity Model. Overview

Data Management Maturity Model. Overview Data Management Maturity Model Overview SEPG Tysons Corner May 6, 2014 Who Needs Better Data Management? Every organization in business. Why? Collection of data assets developed over time legacy application

More information

Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing. 1 P a g e. www.analytixds.com

Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing. 1 P a g e. www.analytixds.com Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing 1 P a g e Table of Contents What is the key to agility in Data Warehousing?... 3 The need to address requirements completely....

More information

Submitted to: Service Definition Document for BI / MI Data Services

Submitted to: Service Definition Document for BI / MI Data Services Submitted to: Service Definition Document for BI / MI Data Services Table of Contents 1. Introduction... 3 2. Data Quality Management... 4 3. Master Data Management... 4 3.1 MDM Implementation Methodology...

More information

Data Governance Baseline Deployment

Data Governance Baseline Deployment Service Offering Data Governance Baseline Deployment Overview Benefits Increase the value of data by enabling top business imperatives. Reduce IT costs of maintaining data. Transform Informatica Platform

More information

INFORMATION SYSTEMS (IS) DATA SERVICES JOB TITLES CANNOT USE FOR VACANCIES

INFORMATION SYSTEMS (IS) DATA SERVICES JOB TITLES CANNOT USE FOR VACANCIES Effective Date: July 1, 2015 INFORMATION SYSTEMS (IS) DATA SERVICES JOB TITLES CANNOT USE FOR VACANCIES I. DEFINITIONS A. Identifying the Correct Job Family This section defines duties performed by positions

More information

Certified Information Professional 2016 Update Outline

Certified Information Professional 2016 Update Outline Certified Information Professional 2016 Update Outline Introduction The 2016 revision to the Certified Information Professional certification helps IT and information professionals demonstrate their ability

More information

AN OVERVIEW OF THE SALLIE MAE DATA GOVERNANCE PROGRAM

AN OVERVIEW OF THE SALLIE MAE DATA GOVERNANCE PROGRAM AN OVERVIEW OF THE SALLIE MAE DATA GOVERNANCE PROGRAM DAMA Day Washington, D.C. September 19, 2011 8/29/2011 SALLIE MAE BACKGROUND Sallie Mae is the nation s leading provider of saving, planning and paying

More information

Essential Elements of a Master Data Management Architecture

Essential Elements of a Master Data Management Architecture Essential Elements of a Master Data Management Architecture ABSTRACT Building master data management (MDM) into an IT infrastructure is not as simple as buying a product and plugging it in. Rather, selecting

More information

DATA QUALITY MATURITY

DATA QUALITY MATURITY 3 DATA QUALITY MATURITY CHAPTER OUTLINE 3.1 The Data Quality Strategy 35 3.2 A Data Quality Framework 38 3.3 A Data Quality Capability/Maturity Model 42 3.4 Mapping Framework Components to the Maturity

More information

Building a strong data management capability with TOGAF and ArchiMate. Bas van Gils b.vangils@bizzdesign.com

Building a strong data management capability with TOGAF and ArchiMate. Bas van Gils b.vangils@bizzdesign.com Building a strong data management capability with TOGAF and ArchiMate Bas van Gils b.vangils@bizzdesign.com Dr. Bas van Gils +31-(0)6-484 320 88 b.vangils@bizzdesign.nl http://linkedin.com/in/basvg http://blog.bizzdesign.com

More information

Key Issues for Data Management and Integration, 2006

Key Issues for Data Management and Integration, 2006 Research Publication Date: 30 March 2006 ID Number: G00138812 Key Issues for Data Management and Integration, 2006 Ted Friedman The effective management and leverage of data represent the greatest opportunity

More information

Approach to Information Security Architecture. Kaapro Kanto Chief Architect, Security and Privacy TeliaSonera

Approach to Information Security Architecture. Kaapro Kanto Chief Architect, Security and Privacy TeliaSonera Approach to Information Security Architecture Kaapro Kanto Chief Architect, Security and Privacy TeliaSonera About TeliaSonera TeliaSonera provides network access and telecommunication services that help

More information

Applying Business Architecture to the Cloud

Applying Business Architecture to the Cloud Applying Business Architecture to the Cloud Mike Rosen, Chief Scientist Mike.Rosen@ WiltonConsultingGroup.com Michael Rosen Agenda n What do we mean by the cloud? n Sample architecture and cloud support

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

Business Data Authority: A data organization for strategic advantage

Business Data Authority: A data organization for strategic advantage Business Data Authority: A data organization for strategic advantage Collibra Data Governance Software Company Reference Customers Business Data Growth and Challenge TREND Exploding volume, velocity and

More information

Master Data Management The Nationwide Experience. Lance Dacre Director, Data Governance

Master Data Management The Nationwide Experience. Lance Dacre Director, Data Governance Master Data Management The Nationwide Experience Lance Dacre Director, Data Governance Agenda Finance FOCUS project Master Data Management Data Governance Assessment of Finance Function Availability of

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

POSITION LOCATION REPORTING RELATIONSHIP

POSITION LOCATION REPORTING RELATIONSHIP POSITION LOCATION REPORTING RELATIONSHIP Solutions Architect Sydney Managing Architect ORGANISATIONAL CONTEXT The National Health Call Centre Network Ltd (NHCCN), now trading as Healthdirect Australia,

More information