DATA GOVERNANCE AND DATA QUALITY

Size: px
Start display at page:

Download "DATA GOVERNANCE AND DATA QUALITY"

Transcription

1 DATA GOVERNANCE AND DATA QUALITY Kevin Lewis Partner Enterprise Management COE Barb Swartz Account Manager Teradata Government Systems

2 Objectives of the Presentation Show that Governance and Quality are part of a larger EDM function Provide a process framework for effective Quality Management Explain the role of Governance and Stewardship in a Quality function Provide advice on aligning a Governance program to business value 2 2/28/12 Teradata Confidential

3 EDM Framework A Path to Integrated and Trusted Information Governance The practice of organizing and implementing principles, policies, procedures and standards for the effective use of data Stewardship - Continual, day-to-day activities of creating, using, and retiring data Quality Ensure data is fit for its intended use Integration Includes Acquisition (ETL/ ELT) processing to combine transaction and master data to provide a consistent, meaningful, and trusted view of the data across business units and subject areas Security and Privacy Information security, data privacy and regulatory compliance across data subject areas, including monitoring and audit capabilities Metadata Management The people, processes and technical components necessary to ensure that metadata is easily accessible, consistent, current, accurate, timely and complete Master Management Management of master data domains, such as Product and Customer data, that provide context for transactional data Architecture The logical and physical data modeling plus other activities needed to understand business information needs and design for effective database usage 3 2/28/12 Teradata Confidential Master Mgmt Architecture Metadata Mgmt Governance Integrated and Trusted Information Stewardship Quality Security and Privacy Integration People, Processes, and Technology

4 Governance, Stewardship, and Enterprise Management Governance provides oversight for Enterprise Management (EDM) Stewardship provides the day-to-day business involvement for EDM activities Master Mgmt Architecture Metadata Mgmt Governance Integrated and Trusted Information Quality Security and Privacy Integration Stewardship 4 2/28/12 Teradata Confidential

5 Quality The core dimensions of data quality are: Accuracy data represents reality correctly Completeness data gaps are minimized and data subjects are covered adequately Timeliness data is stored in system within an acceptable time from the business event Master Mgmt Architecture Governance Integrated and Trusted Information Quality Integration Consistency data is defined and reported with the same meaning and values across the enterprise Metadata Mgmt Security and Privacy Governance determines the focus of data quality improvements based on business value Stewardship Stewards provide business understanding of assigned data subjects 5 2/28/12 Teradata Confidential

6 Dimensions of Quality A Longer List Dimension Description Conformance Non-Conformance Accuracy A measure of information correctness A balance of $10,000 is stored as a balance $10,000. A balance of $10,000 is stored as a balance of $12,500. Consistency Entirety Breadth Completeness Uniqueness A measure of the degree of conflicts that exist in situations with redundant data A measure of the quantities of entities created, versus the real world or the number of actual events A measure of the amount of information captured about an object or event A measure of information caps within a specific entity occurrence A measure of unnecessary information replication Interpretability A measure of semantic standards being applied A balance of $10,000 in the ABC system is also stored as $10,000 in the XYZ system. All phone calls that were made were recorded and stored for billing. All information about a specific call is captured including duration, start and stop time, origination and termination information, billing information, network information, etc. Name, age, and occupation are known for all customers. Customer information is stored once for each customer. A date is stored as 11 June 2002 A balance of $10,000 in the ABC system is also stored as $12,500 in the XYZ system. Calls to a particular NPA-NNX were not recorded due to a switch profile problem. Revenue for these calls will be lost. None of the network related information for a specific call is captured. Nothing is known about how the call was handled by the network. Name and age are known for all customers but occupation is known for only 50% of the customers. Certain customers records are duplicated due to variations in the spelling of the name, alternate address, etc. The records are not linked in any way. A date stored as is interpreted as November 06, Timeliness A measure of how current a record is All customer addresses represent the current place of dwelling. Many customers have changed their address without informing the company. Precision A measure of exactness The amount of tax due for this specific transaction is $ Depth Integrity A measure of the amount of entity of event history that is retained A measure of validity with respect to another item of related information A complete history of orders, bills, and payments is retained for all customers. A call detail record contains a from number of (404) /28/12 Teradata Confidential The amount of tax due for this specific transaction is stored as $0.10. Orders, bills, and payment information is only retained for one year. Each month, the prior year records are deleted for that month to make room for the new information. The Terminating Point Master table indicates that due to an area code split, the 240 NNX is now in the 770 NPA.

7 Quality Business Example Business Objective: Control outof-stocks and inventory carrying costs Action: Provide order suggestion to grocery stock clerk based on forecasted sales and current inventory balances Problem: Incorrect inventory balances in system Root Cause (example): Cashier not correctly identifying produce item Fix: Label loose produce item with lookup code and GS1 Bar Finding the problem (profiling): Find unusual percentage breakdown in sales data for certain produce categories Monitoring (scorecarding): Establish rule and threshold for expected percentage breakdown versus actual 7 2/28/12 Teradata Confidential

8 Quality Improvement Process Model Step 1: Select & Define Step 2: Profile Step 3: Analyze No. of Errors Value Step 6: Monitor & Trend Step 5: Fix Root Causes Step 4: Trace Root Causes Error count Time People Process Information Technology 8 2/28/12 Teradata Confidential

9 Governance and Stewardship Roles for Quality Step 1: Select & Define Step 2: Profile Step 3: Analyze Governance Council determines appropriate focus Steward brings business meaning of data No. of Errors Value helps interpret profiling results Error count Step 6: Monitor & Trend monitors data quality and initiates improvement Time Step 5: Fix Root Causes People approves IT fixes and Process facilitates business Information change Technology Step 4: Trace Root Causes helps determine business root causes 9 2/28/12 Teradata Confidential

10 Technology Enablers for Quality Step 1: Select & Define Step 2: Profile Step 3: Analyze No. of Errors Profiling Tools Value Step 6: Monitor & Trend Step 5: Fix Root Causes Step 4: Trace Root Causes Error count Quality Scorecarding / Monitoring tools Time Match People / Merge tools MDM Process Enrichment Information Input Controls Technology 10 2/28/12 Teradata Confidential

11 The Role of the Warehouse in Quality Improvement Business process Business process DW uses (CRM, Mining, etc.) Business process DW Source bases Awareness,T raining, Motivation System & Process changes Cleanse DQ Scorecard 11 2/28/12 Teradata Confidential

12 Management Organization Business Intelligence Competency Center Executive Steering Committee Governance Council Stewards Business IT Executive Steering Committee Provides ultimate authority needed to unify information across the organization Governance Council Represents the entire organization to facilitate efforts that unify information Stewards Works across business areas and systems to ensure integrity of assigned data subjects Business Intelligence Competency Center Provides information and analytical services to the enterprise The structures shown here are primarily business-focused. IT supports these organizations by ensuring that IT solutions are in place that enable each area of EDM. 12 2/28/12 Teradata Confidential

13 Stewardship Matrix Domain Primary Role Sales Customer Asset Finance Location Campaign etc. Owner Steward IT Steward Business Area BICC Marketing Purchasing Operations Sales Accounting Customer Service Europe South America etc. Names go in these boxes 13 2/28/12 Teradata Confidential

14 Building Governance Adding Business Value by Resolving Issues and Enabling Projects Identify projects to benefit from DG Develop process to link to projects Capture data issues for DG Develop process to resolve data issues Building Capability to Sustain and Increase Business Value Assess current capabilities (P, P, & T) Prioritize and plan capability improvements Implement capability improvements 14 2/28/12 Teradata Confidential

15 and Capabilities are Deployed Incrementally to Support Business Initiatives Application 1 Application 2 Project 1 Project 2 Project 3 Application 3 Projects that use data (e.g., Supply Chain Management, Personnel, Maintenance) Capability 1 Capability 2 Capability 3 Projects that deploy capability (e.g., DQ, MDM, Stewardship) Domain 1 Domain 2 Domain 3 Each data domain supports one or more functional projects while simultaneously providing more data to BI users Warehouse 15 2/28/12 Teradata Confidential BI Users Access Integrated Projects that deploy data (e.g., sales data, inventory data)

16 Integration with the System Development Life Cycle (SDLC) Quality and related activities should be embedded in projects; these are just a few examples: Perform high level data profiling on proposed sources Perform detailed data profiling on required elements Capture business metadata and design mechanism to deliver Prioritize, resolve, and communicate data issues Communicate changes using Stewardship Network Plan Analyze Design Build Implement Manage Roadmaps and PPM help us plan for each project Ensure proposed solution architecture meets standards Design data quality rules and include in SLA Build data quality monitoring with thresholds Implement complete solution, including DQ, MDM, etc. Support ongoing data quality program; maintain metadata 16 2/28/12 Teradata Confidential

17 AF Global Combat Support Systems Services Overview > Supports information sharing across all domains, services, & DoD agencies > Offers role-based on demand access to data > Provides designated authoritative data repository of current & historical data > Provides data transformation & integration > Utilize Commercial Off-the-Shelf (COTS) based solution > Net-centric environment The Environment > Over 19TBs of user data spread across more than 95 databases > Acquiring data from over 108 sources processing over 50 million rows of data daily Mostly batch interfaces, but do support Change Capture to meet near real time requirements > Analytics Business Objects, Cognos, 19 High Profile Rich Internet Applications supported by Web Services > Providing access to multiple USAF Communities and Commodities 17 2/28/12 Teradata Confidential

18 Teradata Corpora+on We invented Warehousing > Global Leader in Enterprise Warehousing > Positioned in Gartner s Leaders Quadrant in data warehousing since 1999 We pioneered the Active Warehouse Market > Extending traditional data warehousing for operational intelligence Global presence and world-class customer list > More than 1,000 customers > 10 years at USAF > More than 2,500 installations 7,000 associates Traded on NYSE (TDC) Prof. Services Hardware Software Integrated Solution Business Consulting Services Architecture Consulting Services Implementation Services Analytic Applications Logical Models base Software (inc. Tools and Utilities) Server Storage Support Services 18 2/28/12 Teradata Confidential

19 Questions? 19 2/28/12 Teradata Confidential

20 Thank you! 20 2/28/12 Teradata Confidential

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

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

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

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

MDM and Data Warehousing Complement Each Other

MDM and Data Warehousing Complement Each Other Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There

More information

IPL Service Definition - Master Data Management Service

IPL Service Definition - Master Data Management Service IPL Proposal IPL Service Definition - Master Data Management Service Project: Date: 16th Dec 2014 Issue Number: Issue 1 Customer: Crown Commercial Service Page 1 of 7 IPL Information Processing Limited

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

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

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

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

MANAGING CROSS-AGENCY DATA IN TAX COMPLIANCE JIM BLAIR TERADATA SR. CONSULTANT

MANAGING CROSS-AGENCY DATA IN TAX COMPLIANCE JIM BLAIR TERADATA SR. CONSULTANT MANAGING CROSS-AGENCY DATA IN TAX COMPLIANCE JIM BLAIR TERADATA SR. CONSULTANT Agenda Defining The Problem Cross Agency Opportunity Governance for Cross Agency Use case Wrap-Up / Q & A 2 Confidential Do

More information

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

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

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

IBM InfoSphere Discovery: The Power of Smarter Data Discovery

IBM InfoSphere Discovery: The Power of Smarter Data Discovery IBM InfoSphere Discovery: The Power of Smarter Data Discovery Gerald Johnson IBM Client Technical Professional gwjohnson@us.ibm.com 2010 IBM Corporation Objectives To obtain a basic understanding of the

More information

Compunnel. Business Intelligence, Master Data Management & Compliance (Healthcare) Largest Health Insurance Company in New Jersey.

Compunnel. Business Intelligence, Master Data Management & Compliance (Healthcare) Largest Health Insurance Company in New Jersey. Compunnel Business Intelligence, Master Data Management & Compliance (Healthcare) Largest Health Insurance Company in New Jersey Business Intelligence, Master Data Management & Compliance (Healthcare)

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

Data Warehouse Overview. Srini Rengarajan

Data Warehouse Overview. Srini Rengarajan Data Warehouse Overview Srini Rengarajan Please mute Your cell! Agenda Data Warehouse Architecture Approaches to build a Data Warehouse Top Down Approach Bottom Up Approach Best Practices Case Example

More information

Master Your Data and Your Business Using Informatica MDM. Ravi Shankar Sr. Director, MDM Product Marketing

Master Your Data and Your Business Using Informatica MDM. Ravi Shankar Sr. Director, MDM Product Marketing Master Your and Your Business Using Informatica MDM Ravi Shankar Sr. Director, MDM Product Marketing 1 Driven Enterprise Timely Trusted Relevant 2 Agenda Critical Business Imperatives Addressed by MDM

More information

Modernizing Your Data Strategy

Modernizing Your Data Strategy Modernizing Your Data Strategy Understanding SAS Solutions for Data Integration, Data Quality, Data Governance and Master Data Management Gregory S. Nelson ThotWave Technologies, LLC. Lisa Dodson SAS 1

More information

Establish and maintain Center of Excellence (CoE) around Data Architecture

Establish and maintain Center of Excellence (CoE) around Data Architecture Senior BI Data Architect - Bensenville, IL The Company s Information Management Team is comprised of highly technical resources with diverse backgrounds in data warehouse development & support, business

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

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

Dambaru Jena Senior Principal Hewlett-Packard (HP)

Dambaru Jena Senior Principal Hewlett-Packard (HP) Dambaru Jena Senior Principal Hewlett-Packard (HP) Agenda Introduction Master Data Management (MDM) Data Governance (DG) Data Quality (DQ) Architecture & Best Practices Q&A Appendix Additional Slides MDM

More information

Business Performance & Data Quality Metrics. David Loshin Knowledge Integrity, Inc. loshin@knowledge-integrity.com (301) 754-6350

Business Performance & Data Quality Metrics. David Loshin Knowledge Integrity, Inc. loshin@knowledge-integrity.com (301) 754-6350 Business Performance & Data Quality Metrics David Loshin Knowledge Integrity, Inc. loshin@knowledge-integrity.com (301) 754-6350 1 Does Data Integrity Imply Business Value? Assumption: improved data quality,

More information

Proactive DATA QUALITY MANAGEMENT. Reactive DISCIPLINE. Quality is not an act, it is a habit. Aristotle PLAN CONTROL IMPROVE

Proactive DATA QUALITY MANAGEMENT. Reactive DISCIPLINE. Quality is not an act, it is a habit. Aristotle PLAN CONTROL IMPROVE DATA QUALITY MANAGEMENT DISCIPLINE Quality is not an act, it is a habit. Aristotle PLAN CONTROL IMPROVE 1 DATA QUALITY MANAGEMENT Plan Strategy & Approach Needs Assessment Goals and Objectives Program

More information

Outline Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications

Outline Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications Outline Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications Introduction to the BI Roadmap Business Intelligence Framework DW role in BI From Chaos to Architecture

More information

Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer

Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer Terry Bouziotis: Director, IT Enterprise Master Data Management JJHCS Bob Delp: Sr. MDM Program Manager

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

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 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

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

CHAPTER SIX DATA. Business Intelligence. 2011 The McGraw-Hill Companies, All Rights Reserved

CHAPTER SIX DATA. Business Intelligence. 2011 The McGraw-Hill Companies, All Rights Reserved CHAPTER SIX DATA Business Intelligence 2011 The McGraw-Hill Companies, All Rights Reserved 2 CHAPTER OVERVIEW SECTION 6.1 Data, Information, Databases The Business Benefits of High-Quality Information

More information

Master Data Management. Zahra Mansoori

Master Data Management. Zahra Mansoori Master Data Management Zahra Mansoori 1 1. Preference 2 A critical question arises How do you get from a thousand points of data entry to a single view of the business? We are going to answer this question

More information

Batch Processes Transaction System Users Report Web Services Interfaces Source Systems Transaction Processing Store Common Information Architecture NJ

Batch Processes Transaction System Users Report Web Services Interfaces Source Systems Transaction Processing Store Common Information Architecture NJ Universal Management Dan Paolini Director, Management Services Architecture Standards & Technologies Office of Information Technology New Jersey Definitions Master Management is the enterpriseenterprise-based

More information

3/13/2008. Financial Analytics Operational Analytics Master Data Management. March 10, 2008. Looks like you ve got all the data what s the holdup?

3/13/2008. Financial Analytics Operational Analytics Master Data Management. March 10, 2008. Looks like you ve got all the data what s the holdup? Financial Analytics Operational Analytics Master Data Management Master Data Management Adam Hanson Principal, Profisee Group March 10, 2008 Looks like you ve got all the data what s the holdup? 1 MDM

More information

dxhub Denologix MDM Solution Page 1

dxhub Denologix MDM Solution Page 1 Most successful large organizations are organized by lines of business (LOB). This has been a very successful way to organize for the accountability of profit and loss. It gives LOB leaders autonomy to

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

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

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

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

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

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

DISCIPLINE DATA GOVERNANCE GOVERN PLAN IMPLEMENT

DISCIPLINE DATA GOVERNANCE GOVERN PLAN IMPLEMENT DATA GOVERNANCE DISCIPLINE Whenever the people are well-informed, they can be trusted with their own government. Thomas Jefferson PLAN GOVERN IMPLEMENT 1 DATA GOVERNANCE Plan Strategy & Approach Data Ownership

More information

Busting 7 Myths about Master Data Management

Busting 7 Myths about Master Data Management Knowledge Integrity Incorporated Busting 7 Myths about Master Data Management Prepared by: David Loshin Knowledge Integrity, Inc. August, 2011 Sponsored by: 2011 Knowledge Integrity, Inc. 1 (301) 754-6350

More information

Implementing a Data Warehouse with Microsoft SQL Server 2012

Implementing a Data Warehouse with Microsoft SQL Server 2012 Course 10777A: Implementing a Data Warehouse with Microsoft SQL Server 2012 Course Details Course Outline Module 1: Introduction to Data Warehousing This module provides an introduction to the key components

More information

SAP BusinessObjects Information Steward

SAP BusinessObjects Information Steward SAP BusinessObjects Information Steward Michael Briles Senior Solution Manager Enterprise Information Management SAP Labs LLC June, 2011 Agenda Challenges with Data Quality and Collaboration Product Vision

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

Enterprise Data Quality Dashboards and Alerts: Holistic Data Quality

Enterprise Data Quality Dashboards and Alerts: Holistic Data Quality Enterprise Data Quality Dashboards and Alerts: Holistic Data Quality Jay Zaidi Bonnie O Neil (Fannie Mae) Data Governance Winter Conference Ft. Lauderdale, Florida November 16-18, 2011 Agenda 1 Introduction

More information

Measure Your Data and Achieve Information Governance Excellence

Measure Your Data and Achieve Information Governance Excellence SAP Brief SAP s for Enterprise Information Management SAP Information Steward Objectives Measure Your Data and Achieve Information Governance Excellence A single solution for managing enterprise data quality

More information

James Serra Data Warehouse/BI/MDM Architect JamesSerra3@gmail.com JamesSerra.com

James Serra Data Warehouse/BI/MDM Architect JamesSerra3@gmail.com JamesSerra.com James Serra Data Warehouse/BI/MDM Architect JamesSerra3@gmail.com JamesSerra.com Agenda Do you need Master Data Management (MDM)? Why Master Data Management? MDM Scenarios & MDM Hub Architecture Styles

More information

Course Outline: Course: Implementing a Data Warehouse with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning

Course Outline: Course: Implementing a Data Warehouse with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning Course Outline: Course: Implementing a Data with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning Duration: 5.00 Day(s)/ 40 hrs Overview: This 5-day instructor-led course describes

More information

Enterprise Information Flow

Enterprise Information Flow Enterprise Information Flow White paper Table of Contents 1. Why EIF 1 Answers to Tough Questions 1 2. Description and Scope of Enterprise Information Flow 3 Data and Information Structures 3 Data Attributes

More information

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview IBM InfoSphere Master Data Management Server Overview Master data management (MDM) allows organizations to generate business value from their most important information. Managing master data, or key business

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

The Role of the Analyst in Business Analytics. Neil Foshay Schwartz School of Business St Francis Xavier U

The Role of the Analyst in Business Analytics. Neil Foshay Schwartz School of Business St Francis Xavier U The Role of the Analyst in Business Analytics Neil Foshay Schwartz School of Business St Francis Xavier U Contents Business Analytics What s it all about? Development Process Overview BI Analyst Role Questions

More information

Effecting Data Quality Improvement through Data Virtualization

Effecting Data Quality Improvement through Data Virtualization Effecting Data Quality Improvement through Data Virtualization Prepared for Composite Software by: David Loshin Knowledge Integrity, Inc. June, 2010 2010 Knowledge Integrity, Inc. Page 1 Introduction The

More information

White Paper February 2009. IBM Cognos Supply Chain Analytics

White Paper February 2009. IBM Cognos Supply Chain Analytics White Paper February 2009 IBM Cognos Supply Chain Analytics 2 Contents 5 Business problems Perform cross-functional analysis of key supply chain processes 5 Business drivers Supplier Relationship Management

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

Foundations of Business Intelligence: Databases and Information Management

Foundations of Business Intelligence: Databases and Information Management Foundations of Business Intelligence: Databases and Information Management Content Problems of managing data resources in a traditional file environment Capabilities and value of a database management

More information

MDM for the Enterprise: Complementing and extending your Active Data Warehousing strategy. Satish Krishnaswamy VP MDM Solutions - Teradata

MDM for the Enterprise: Complementing and extending your Active Data Warehousing strategy. Satish Krishnaswamy VP MDM Solutions - Teradata MDM for the Enterprise: Complementing and extending your Active Data Warehousing strategy Satish Krishnaswamy VP MDM Solutions - Teradata 2 Agenda MDM and its importance Linking to the Active Data Warehousing

More information

Logical Modeling for an Enterprise MDM Initiative

Logical Modeling for an Enterprise MDM Initiative Logical Modeling for an Enterprise MDM Initiative Session Code TP01 Presented by: Ian Ahern CEO, Profisee Group Copyright Speaker Bio Started career in the City of London: Management accountant Finance,

More information

Enterprise Data Detailed Warehouse

Enterprise Data Detailed Warehouse BUSINESS INTELLIGENCE SQL POWER SUPERVISION SUITE COMMERCIALLY AVAILABLE OFF-THE-SHELF (COTS) SOFTWARE XBRL Forms: Thin-Client Data Collection & Validation Facility The number one roadblock to successful

More information

CAS Seminar on Ratemaking! "! ###!!

CAS Seminar on Ratemaking! ! ###!! CAS Seminar on Ratemaking $%! "! ###!! !"# $" CAS Seminar on Ratemaking $ %&'("(& + ) 3*# ) 3*# ) 3* ($ ) 4/#1 ) / &. ),/ &.,/ #1&.- ) 3*,5 /+,&. ),/ &..- ) 6/&/ '( +,&* * # +-* *%. (-/#$&01+, 2, Annual

More information

Enterprise Data Management

Enterprise Data Management TDWI research TDWI Checklist report Enterprise Data Management By Philip Russom Sponsored by www.tdwi.org OCTOBER 2009 TDWI Checklist report Enterprise Data Management By Philip Russom TABLE OF CONTENTS

More information

Building a Successful Data Quality Management Program WHITE PAPER

Building a Successful Data Quality Management Program WHITE PAPER Building a Successful Data Quality Management Program WHITE PAPER Table of Contents Introduction... 2 DQM within Enterprise Information Management... 3 What is DQM?... 3 The Data Quality Cycle... 4 Measurements

More information

Riversand Technologies, Inc. Powering Accurate Product Information PIM VS MDM VS PLM. A Riversand Technologies Whitepaper

Riversand Technologies, Inc. Powering Accurate Product Information PIM VS MDM VS PLM. A Riversand Technologies Whitepaper Riversand Technologies, Inc. Powering Accurate Product Information PIM VS MDM VS PLM A Riversand Technologies Whitepaper Table of Contents 1. PIM VS PLM... 3 2. Key Attributes of a PIM System... 5 3. General

More information

Data Integrity and Integration: How it can compliment your WebFOCUS project. Vincent Deeney Solutions Architect

Data Integrity and Integration: How it can compliment your WebFOCUS project. Vincent Deeney Solutions Architect Data Integrity and Integration: How it can compliment your WebFOCUS project Vincent Deeney Solutions Architect 1 After Lunch Brain Teaser This is a Data Quality Problem! 2 Problem defining a Member How

More information

Introduction to Business Intelligence

Introduction to Business Intelligence IBM Software Group Introduction to Business Intelligence Vince Leat ASEAN SW Group 2007 IBM Corporation Discussion IBM Software Group What is Business Intelligence BI Vision Evolution Business Intelligence

More information

Data Warehouse: Introduction

Data Warehouse: Introduction Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of base and data mining group,

More information

Business Intelligence. Advanced visualization. Reporting & dashboards. Mobile BI. Packaged BI

Business Intelligence. Advanced visualization. Reporting & dashboards. Mobile BI. Packaged BI Data & Analytics 1 Data & Analytics Solutions - Overview Information Management Business Intelligence Advanced Analytics Data governance Data modeling & architecture Master data management Enterprise data

More information

Oracle BI Application: Demonstrating the Functionality & Ease of use. Geoffrey Francis Naailah Gora

Oracle BI Application: Demonstrating the Functionality & Ease of use. Geoffrey Francis Naailah Gora Oracle BI Application: Demonstrating the Functionality & Ease of use Geoffrey Francis Naailah Gora Agenda Oracle BI & BI Apps Overview Demo: Procurement & Spend Analytics Creating a ad-hoc report Copyright

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

White Paper: Extending Your Business Intelligence Investment with SQL Server Master Data Services. Prepared for: Intellinet August 29, 2011

White Paper: Extending Your Business Intelligence Investment with SQL Server Master Data Services. Prepared for: Intellinet August 29, 2011 White Paper: Extending Your Business Intelligence Investment with SQL Server Master Data Services Prepared for: Intellinet August 29, 2011 Two Concourse Pkwy Atlanta, GA 30328 404.442.8000 fax 404.442.8001

More information

Five Fundamental Data Quality Practices

Five Fundamental Data Quality Practices Five Fundamental Data Quality Practices W H I T E PA P E R : DATA QUALITY & DATA INTEGRATION David Loshin WHITE PAPER: DATA QUALITY & DATA INTEGRATION Five Fundamental Data Quality Practices 2 INTRODUCTION

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

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

DataFlux Data Management Studio

DataFlux Data Management Studio DataFlux Data Management Studio DataFlux Data Management Studio provides the key for true business and IT collaboration a single interface for data management tasks. A Single Point of Control for Enterprise

More information

The Importance of Data Governance

The Importance of Data Governance The Importance of Data Governance Hans Heerooms Information Builders Copyright 2011, Information Builders. Slide 1 Objective of this presentation Explain the concepts and benefits of Enterprise Information

More information

Course 103402 MIS. Foundations of Business Intelligence

Course 103402 MIS. Foundations of Business Intelligence Oman College of Management and Technology Course 103402 MIS Topic 5 Foundations of Business Intelligence CS/MIS Department Organizing Data in a Traditional File Environment File organization concepts Database:

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

IBM Tivoli Netcool network management solutions for enterprise

IBM Tivoli Netcool network management solutions for enterprise IBM Netcool network management solutions for enterprise The big picture view that focuses on optimizing complex enterprise environments Highlights Enhance network functions in support of business goals

More information

711 Data Governance and Quality for a SAP Implementation Barbara Latulippe, Sr. Director Enterprise Data Governance & Quality Anand Singh Information

711 Data Governance and Quality for a SAP Implementation Barbara Latulippe, Sr. Director Enterprise Data Governance & Quality Anand Singh Information 711 Data Governance and Quality for a SAP Implementation Barbara Latulippe, Sr. Director Enterprise Data Governance & Quality Anand Singh Information Quality Paul Carlson SAP Program Office EMC LEARNING

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

Implementing a Data Warehouse with Microsoft SQL Server

Implementing a Data Warehouse with Microsoft SQL Server Course Code: M20463 Vendor: Microsoft Course Overview Duration: 5 RRP: 2,025 Implementing a Data Warehouse with Microsoft SQL Server Overview This course describes how to implement a data warehouse platform

More information

Real World MDM Challenges and Benefits

Real World MDM Challenges and Benefits Real World MDM Challenges and Benefits Gary Bahl, Sr. Manager MDM Product Marketing and Management, Talend, gbahl@talend.com Kumar Ramamurthy, Sr. Director, DWBI and Analytics, Virtusa, kumarr@virtusa.com

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

Data Governance Program Plan. January 2016

Data Governance Program Plan. January 2016 Program Plan January 2016 Background and Context need recognized Initial socialization and assessment Formalizing Structure Initiating Model and Practices Strengthen and Align Technologies 2012 2013 2014

More information

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Applied Business Intelligence Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Agenda Business Drivers and Perspectives Technology & Analytical Applications Trends Challenges

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

Course Outline. Module 1: Introduction to Data Warehousing

Course Outline. Module 1: Introduction to Data Warehousing Course Outline Module 1: Introduction to Data Warehousing This module provides an introduction to the key components of a data warehousing solution and the highlevel considerations you must take into account

More information

Data Governance for Financial Institutions

Data Governance for Financial Institutions Financial Services the way we see it Data Governance for Financial Institutions Drivers and metrics to help banks, insurance companies and investment firms build and sustain data governance Table of Contents

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

Oracle Retail Data Model Overview

<Insert Picture Here> Oracle Retail Data Model Overview Oracle Retail Data Model Overview The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into

More information

White Paper. The SAS Data Governance Framework: A Blueprint for Success

White Paper. The SAS Data Governance Framework: A Blueprint for Success White Paper The SAS Governance Framework: A Blueprint for Success Contents Framing Governance... 1 Corporate Drivers... 3 Regional Bank...3 Global Bank...3 Governance: Putting It Together... 3 Program

More information

PRACTICAL CONSIDERATIONS FOR SHARING PUBLIC INFORMATION DAN FINERTY SAS CANADA. Copyr i g ht 2015, SAS Institut e Inc. All rights reser v e d.

PRACTICAL CONSIDERATIONS FOR SHARING PUBLIC INFORMATION DAN FINERTY SAS CANADA. Copyr i g ht 2015, SAS Institut e Inc. All rights reser v e d. PRACTICAL CONSIDERATIONS FOR SHARING PUBLIC INFORMATION DAN FINERTY SAS CANADA CHALLENGE RAPIDLY CHANGING LANDSCAPE Ontario Open-Government Recent Legislation 83 Privacy Act 88 Freedom of Information

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

DISTRICT OF COLUMBIA RETIREMENT BOARD Position Vacancy Announcement

DISTRICT OF COLUMBIA RETIREMENT BOARD Position Vacancy Announcement *** Successful pre-employment criminal, financial, educational and certification background check required *** ABOUT THE D.C. RETIREMENT BOARD: DISTRICT OF COLUMBIA RETIREMENT BOARD Position Vacancy Announcement

More information

Understanding Data Warehousing. [by Alex Kriegel]

Understanding Data Warehousing. [by Alex Kriegel] Understanding Data Warehousing 2008 [by Alex Kriegel] Things to Discuss Who Needs a Data Warehouse? OLTP vs. Data Warehouse Business Intelligence Industrial Landscape Which Data Warehouse: Bill Inmon vs.

More information

Vermont Enterprise Architecture Framework (VEAF) Master Data Management Design

Vermont Enterprise Architecture Framework (VEAF) Master Data Management Design Vermont Enterprise Architecture Framework (VEAF) Master Data Management Design EA APPROVALS Approving Authority: REVISION HISTORY Version Date Organization/Point

More information