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

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

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

Transcription

1 Product to Customer A Fundamental Change through MDM Presented by Luminita Vollmer, MBA, CDMP, CBIP May 1, 2012 Atlanda, GA EDW 2012

2 Contents Introduction The Focus of the Presentation Disclaimer The story of Tex Red Closure

3 Introduction Speaker Bio: Data Architect for over 15 years, more recently IT Solutions Architect Undergrad studies in MIS/Business MBA College of St. Thomas in St. Paul CDMP, CBIP certified

4 Introduction Speaker Contact: Linkedin: Luminita Vollmer

5 Introduction The story: a manufacturing company with excellent products that wants to expand and grow by changing its focus from Product knows best to Customer barely knows.

6 Introduction The Impact: Fundamental, on many levels Cultural Processes Technology Engineering vs Customer facing Collaboration vs Cowboy/Lone Ranger Enterprise level lvs Silos Integration at the Data level MDM In memory reporting

7 Contents Introduction The Focus of the Presentation Disclaimer The story of Tex Red

8 The Focus of this Presentation Changing g from Product Customer focus requires fundamental changes in the business made possible by technology using Master Data concepts in the context of an enterprise initiative. Significantly contributing to the company s bottom line, the Customer and Product MDM use a holistic approach of best practices and technology to deliver an integrated view.

9 The Focus of this Presentation This Integrated view improves: 1 - operational efficiency 2 - allows for predictive analytics through standards, data quality and improved market expansion 3 positions the enterprise for growth. The story of a medium sized manufacturing company, The story of a medium sized manufacturing company, with a long history of product excellence and Customer service on a journey of CHANGE for the business units, products and markets served.

10 Contents Introduction The Focus of the Presentation Disclaimer The story of Tex Red

11 Disclaimer This presentation is not about any projects or programs at my current place of employment. This case is about a real company, fictitiously named TexRed. It is NOT an MDM-101 presentation but a story about an initiative recommended for implementation at TexRed to support the business directive of revenue growth.

12 Contents Introduction The Focus of the Presentation Disclaimer The story of Tex Red y Closure

13 The Story of TexRed A medium sized manufacturing company Long history in the community - over 100 years Same executive leadership for the last 30+ years Has grown through several acquisitions since 1904 Line of Business are silos in any conceivable way Employees are a strong community Some employees started right out of college Small IT shop about 124 EE to 3000 overall Vitria is the integration for submitted transactions

14 The Business Directive A 3-year initiative that would almost double the revenue from $1.7 to over $3B. Changes were believed would happen. Strategies were being talked about. Everyone was looking around, asking questions. More acquisitions speculated.

15 The Assessment Executive management Lead IT and Line of Business Consultants Slogans Build Master Data one project at a time MDM technology alone is not sufficient IT and Business need to partner Team building All marching to the same drum beat

16 The Assessment Led to the following strategies: Small and Specific Most time consuming issues Most important questions without answer Kaizen s Predict data needs by listening in planning meetings

17 The Findings Hierarchies Identity Parent to Child Headquarter to Branch Distributor to Dealer Large Scale Seller to Consumer Company X and Company Y are the same Company Z purchased product1, product2 Consumer XYZ purchased from us 7 yrs ago Product1 Data Segmentation By Region Type of Account Customer Business Domain Range of Revenue Product

18 The Findings MDM Heavy reuse of. well everything A series of practices and approaches to manage data as an asset including DG, DQ, Metadata Mgmt, Patterns and Technology Partnership between Business and IT

19 The Findings Definitions Wikipedia definition: In computing, master data management ( MDM) comprises a set of processes and tools that consistently defines and manages the non- transactional data entities of an organization ( also called reference data.) MDM has the objective of providing processes for collecting and distributing such data throughout an organization to ensure consistency and control in the ongoing maintenance and application use of this information.

20 The Findings Definitions Gartner definition Master Data Management ( MDM) is a discipline in which the business and the IT organizations work together to ensure uniformity, accuracy, semantic persistence, stewardship and accountability of the enterprise s official, shared master data. Organizations apply MDM to eliminate endless, time-consuming debates about who s data is right, which can lead to poor decision making and business performance.

21 A simple Vision Transformation Change Business Driven With help from IT MDM Domains Customer and Product Organizational Efficiency Lower Cost Enable Growth More Customers More Products to New and Repeat Customers

22 Execution of Vision Methodology 3 Pronged 3 Phases Approach Framework Start without an MDM packaged solution Lifecycles Performed analysis on the lifecycles of each domain Maturity Models Assessed each domain for maturity level

23 Execution of Vision (cont) Business Case for Value Built a matrix of Values for each LOB Timeline Was given as 3 yrs, but value started immediately the golf courses case Areas of deployment MDM, DQ, DG Metrics Reports produced in memory y( (QlickView) Issues resolved

24 Execution of Vision (cont) (1) Know the Customer High g quality, unified view of critical data (3) Get, Keep, Grow the Customer domains, Customer and Product Understand profitability Customers across TexRed divisions Identify upsell/cross-sell opportunities Consolidated View for better account planning Identify new markets and regions Understand the overlap in eventual acquisitions Improve customer service customer, product and markets Identify new prospects (2) Understand the Customer Issues customers are facing Issues TexRed is facing At risk business Unrealized opportunities (4) Current Strategies Develop customer intelligence capabilities that will allow better alignment with enterprise strategies Clearly understand our customers portfolio allowing for increased retention, cross-sell and up-sell accelerating growth and profitability Understand, consolidate and reconcile customer data sources to reduce operational inefficiencies and increase speed to market

25 MDM Technology Adoption Maturity Models

26 Methodology Hambrick and Frederickson Model

27 Methodology Coordinate key components Data sources+processes+uses All areas of MDM MDM, DG, DQ Start with a manual integration process Continue with automation using ETL Standup a packaged solution with services

28 Methodology - MDM New concepts very difficult Deliberate MDM relate and conform Declare Master Data Domains (MDD) Cust, Prod Design processes for integration of data sources Document business rules for the new process Identify Data Sources for master domains Make use of already in-house tools Build UID ( Universal ID Logic)

29 Methodology - DQ Data Quality is not an event but a process baked into the everyday tasks: detect, correct and prevent Make use of in-house tools Design DQ processes Identify Data Sources Identify priority thresholds ( what source gets to be saved ) Document business rules for Merge process ( consolidate) Start building the UID ( Universal ID Logic) xref

30 Methodology - DG The act of governing based on decision making, planning and communicating Make use of in-house tools Reference data in the DW SalesForce.com export of Cust + Type Dealer information DataFlux suite of tools and server Design DG processes What source has the highest threshold Document business rules changes Use UID ( Universal ID Logic)

31 The Challenge Data lifecycle with initiative lifecycle

32 Why MDM? Fundamental approach focuses on: Data standards Data governance Data quality Metadata management Purpose driven approach focuses on: Business targets beneficiaries Modular increments i.e. categories

33 Business Case for MDM Value Operational Value Core business entities Customer, Product Informational Value how many of the new customers are already my customers Do I retain customers that cost more than they generate When is a customer a national account how many customers do I have Where are potential areas for growth? Additional data geo, weather,

34 Business Case for MDM Value (cont) Understanding MDM s Organizational Challenges Horizontal coordination people issue Coordinated change process issue Consistency in meaning knowledge management issue Standard business rules technology issue Fundamental change to business as usual organizational issue Higher h upfront costs for necessary infrastructure t financial issue

35 MDM Business Value Consistent use of data Reporting Accuracy Data Sharing and usability Ability to explain variability Standardized data validation same ref data Complete and Consistent data Provide data to a real time environment ( SOA) One entry point, One Maintenance, One Source of use

36 Framework to Success Manage data as an asset put $ value on every customer record Drive business to adopt master data lunch time seminars, scheduled presentations, Cue cards Provide prescription for incremental growth show how the next step will increase value and how it fits Balance Bl opposites for best outcome Long vs short ent vs lob, top vs bottom, speed vs standards Reconcile enterprise and local data combine the data at the enterprise level, not just LOB Address data quality upfront as defined by the business ( Floridadealer dealer getting the trip if the NewYork dealer)

37 Timeline A 3-yr project initiative that would implement a Customer and product MDM, DG and DQ with a Packages solution that augmented already in house tools, systems and existing data warehouse.

38 Metrics in a Matrix Data Models Data Services Reference Data Data Related Business Rules Data Movement Processes Data Policies ( development and conformance)

39 MDM Myths MDM tells us why and how data needs to be managed MDM is a DataWarehouse project or a BI project We can reuse the data model and the ETL code MDM is another IT Integration project To implement MDM you need a packaged solution

40 MDM Capabilities Identity Matching Consolidation through Merge Traceability - MasterData Audit trail Source of Data MDM Administration RoleBased Security Versioning

41 Data Governance Capabilities Hierarchy management Same Definitions Improved Communications Common Enterprise Vocabulary Everyone on the same page

42 Data Quality Capabilities Data Profiling Data Cleansing Parsing and Standardization Data Matching and merging - UID Data Enrichment Address Name parsing Genderization Geocoding Identifiers SIC codes Verification Data Validation and Business Rules

43 Contents Introduction The Focus of the Presentation Disclaimer The story of Tex Red Closure

44 Closure Speaker Contact: Linkedin: Luminita Vollmer

45 Closure Situation First stage was well under way 2 nd stage was being designed and ETL jobs institutionalized. Business interaction and contribution was happening MDM package was evaluated and price estimation under way Architecture and Integration was also being looked at Business Architecture was being built, for future opportunities besides MDM

46 Q & A??? s All together now. Thank you

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 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

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

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

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

Multi-Domain Master Data Management. Subhash Ramachandran VP, Product Management

Multi-Domain Master Data Management. Subhash Ramachandran VP, Product Management Multi-Domain Master Data Management Subhash Ramachandran VP, Product Management 8 June 2011 ProcessWorld 2011 2 DONT OPEN THE ENVELOPE! WAIT FOR THE SURPRISE CONTEST! 8 June 2011 ProcessWorld 2011 3 The

More information

Research. Mastering Master Data Management

Research. Mastering Master Data Management Research Publication Date: 25 January 2006 ID Number: G00136958 Mastering Master Data Management Andrew White, David Newman, Debra Logan, John Radcliffe Despite vendor claims, master data management has

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

Adopting the DMBOK. Mike Beauchamp Member of the TELUS team Enterprise Data World 16 March 2010

Adopting the DMBOK. Mike Beauchamp Member of the TELUS team Enterprise Data World 16 March 2010 Adopting the DMBOK Mike Beauchamp Member of the TELUS team Enterprise Data World 16 March 2010 Agenda The Birth of a DMO at TELUS TELUS DMO Functions DMO Guidance DMBOK functions and TELUS Priorities Adoption

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

<Insert Picture Here> Master Data Management

<Insert Picture Here> Master Data Management Master Data Management 김대준, 상무 Master Data Management Team MDM Issues Lack of Enterprise-level data code standard Region / Business Function Lack of data integrity/accuracy Difficulty

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

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

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

More information

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

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

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

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

Part of the solution. Bringing it all Together - Informa2on and Data Management

Part of the solution. Bringing it all Together - Informa2on and Data Management Bringing it all Together - Informa2on and Data Management 1 Information vs. Data Information Knowledge, meaning The input needed to make business decisions The Focus Area of The Business Data Factual information

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

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

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

Multi-Domain Master Data Management. Subhash Ramachandran VP, Product Management webmethods Product Line

Multi-Domain Master Data Management. Subhash Ramachandran VP, Product Management webmethods Product Line Multi-Domain Master Data Management Subhash Ramachandran VP, Product Management webmethods Product Line The Grand MDM Give Away Be the first to assemble the Nut and the Bolt in the packet you received

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

Operational Excellence for Data Quality

Operational Excellence for Data Quality Operational Excellence for Data Quality Building a platform for operational excellence to support data quality. 1 Background & Premise The concept for an operational platform to ensure Data Quality is

More information

Integrating MDM and Business Intelligence

Integrating MDM and Business Intelligence Integrating MDM and Business Intelligence Scott Adams Director, Microsoft Business Intelligence Hitachi Consulting UK 1 9 th September 2014 Radisson Blu Portman 22 Portman Square London W1H 7BG United

More information

Building the Bullet-Proof MDM Program

Building the Bullet-Proof MDM Program Building the Bullet-Proof MDM Program Evan Levy Partner, Baseline Consulting www.baseline-consulting.com Copyright 2007, Baseline Consulting. All rights reserved. 1 Agenda Understanding the critical components

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

CAPABILITY MATURITY MODEL & ASSESSMENT

CAPABILITY MATURITY MODEL & ASSESSMENT ENTERPRISE DATA GOVERNANCE CAPABILITY MATURITY MODEL & ASSESSMENT www.datalynx.com.au Data Governance Data governance is a key mechanism for establishing control of corporate data assets and enhancing

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

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

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

Master Data Governance & SAP Information Steward Integration. Jens Sauer, SAP Switzerland September 11 th, 2013

Master Data Governance & SAP Information Steward Integration. Jens Sauer, SAP Switzerland September 11 th, 2013 Master Data Governance & SAP Information Steward Integration Jens Sauer, SAP Switzerland September 11 th, 2013 Agenda Enterprise Master Data Management Trends & Functions SAP Enterprise MDM Product Portfolio

More information

Master Data Management What is it? Why do I Care? What are the Solutions?

Master Data Management What is it? Why do I Care? What are the Solutions? Master Data Management What is it? Why do I Care? What are the Solutions? Marty Pittman Architect IBM Software Group 2011 IBM Corporation Agenda MDM Introduction and Industry Trends IBM's MDM Vision IBM

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

Integrating Netezza into your existing IT landscape

Integrating Netezza into your existing IT landscape Marco Lehmann Technical Sales Professional Integrating Netezza into your existing IT landscape 2011 IBM Corporation Agenda How to integrate your existing data into Netezza appliance? 4 Steps for creating

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

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

Service Oriented Data Management

Service Oriented Data Management Service Oriented Management Nabin Bilas Integration Architect Integration & SOA: Agenda Integration Overview 5 Reasons Why Is Critical to SOA Oracle Integration Solution Integration

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

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

An Introduction to Master Data Management (MDM)

An Introduction to Master Data Management (MDM) An Introduction to Master Data Management (MDM) Presented by: Robert Quinn, Sr. Solutions Architect FYI Business Solutions Agenda Introduction MDM Definition MDM Terms Best Practices Data Challenges MDM

More information

The Seven Building Blocks of MDM: A Framework for Success

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

More information

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

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

Introducing webmethods OneData for Master Data Management (MDM) Software AG

Introducing webmethods OneData for Master Data Management (MDM) Software AG Introducing webmethods OneData for Master Data Management (MDM) Software AG What is Master Data? Core enterprise data used across business processes. Example Customer, Product, Vendor, Partner etc. Product

More information

Data Migration through an Information Development Approach An Executive Overview

Data Migration through an Information Development Approach An Executive Overview Data Migration through an Approach An Executive Overview Introducing MIKE2.0 An Open Source Methodology for http://www.openmethodology.org Management and Technology Consultants Data Migration through an

More information

The Role of D&B s DUNSRight Process in Customer Data Integration and Master Data Management. Dan Power, D&B Global Alliances March 25, 2007

The Role of D&B s DUNSRight Process in Customer Data Integration and Master Data Management. Dan Power, D&B Global Alliances March 25, 2007 The Role of D&B s DUNSRight Process in Customer Data Integration and Master Data Management Dan Power, D&B Global Alliances March 25, 2007 Agenda D&B Today and Speaker s Background Overcoming CDI and MDM

More information

Evolutionary Multi-Domain MDM and Governance in an Oracle Ecosystem

Evolutionary Multi-Domain MDM and Governance in an Oracle Ecosystem Evolutionary Multi-Domain MDM and Governance in an Oracle Ecosystem FX Nicolas Semarchy Keywords: Master Data Management, MDM, Data Governance, Data Integration Introduction Enterprise ecosystems have

More information

Enterprise Information Management Capability Maturity Survey for Higher Education Institutions

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

More information

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

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

Realizing business flexibility through integrated SOA policy management.

Realizing business flexibility through integrated SOA policy management. SOA policy management White paper April 2009 Realizing business flexibility through integrated How integrated management supports business flexibility, consistency and accountability John Falkl, distinguished

More information

Trends In Data Quality And Business Process Alignment

Trends In Data Quality And Business Process Alignment A Custom Technology Adoption Profile Commissioned by Trillium Software November, 2011 Introduction Enterprise organizations indicate that they place significant importance on data quality and make a strong

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

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

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

Principal MDM Components and Capabilities

Principal MDM Components and Capabilities Principal MDM Components and Capabilities David Loshin Knowledge Integrity, Inc. 1 Agenda Introduction to master data management The MDM Component Layer Model MDM Maturity MDM Functional Services Summary

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

What to Look for When Selecting a Master Data Management Solution

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

More information

EAI vs. ETL: Drawing Boundaries for Data Integration

EAI vs. ETL: Drawing Boundaries for Data Integration A P P L I C A T I O N S A W h i t e P a p e r S e r i e s EAI and ETL technology have strengths and weaknesses alike. There are clear boundaries around the types of application integration projects most

More information

Getting started with a data quality program

Getting started with a data quality program IBM Software White Paper Information Management Getting started with a data quality program 2 Getting started with a data quality program The data quality challenge Organizations depend on quality data

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

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

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

MANAGING USER DATA IN A DIGITAL WORLD

MANAGING USER DATA IN A DIGITAL WORLD MANAGING USER DATA IN A DIGITAL WORLD AIRLINE INDUSTRY CHALLENGES AND SOLUTIONS WHITE PAPER OVERVIEW AND DRIVERS In today's digital economy, enterprises are exploring ways to differentiate themselves from

More information

Master data deployment and management in a global ERP implementation

Master data deployment and management in a global ERP implementation Master data deployment and management in a global ERP implementation Contents Master data management overview Master data maturity and ERP Master data governance Information management (IM) Business processes

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

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

5 Best Practices for SAP Master Data Governance

5 Best Practices for SAP Master Data Governance 5 Best Practices for SAP Master Data Governance By David Loshin President, Knowledge Integrity, Inc. Sponsored by Winshuttle, LLC 2012 Winshuttle, LLC. All rights reserved. 4/12 www.winshuttle.com Introduction

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

Why You Still Need to Master Your Data Before You Master Your Business (Intelligence) Business Imperatives Addressed By Reliable, Integrated View

Why You Still Need to Master Your Data Before You Master Your Business (Intelligence) Business Imperatives Addressed By Reliable, Integrated View Why You Still Need to Master Your Data Before You Master Your Business (Intelligence) Business Imperatives Addressed By Reliable, Integrated View David Jordan Data Management Product Specialist 1 2 A simple

More information

SAP Agile Data Preparation

SAP Agile Data Preparation SAP Agile Data Preparation Speaker s Name/Department (delete if not needed) Month 00, 2015 Internal Legal disclaimer The information in this presentation is confidential and proprietary to SAP and may

More information

Corralling Data for Business Insights. The difference data relationship management can make. Part of the Rolta Managed Services Series

Corralling Data for Business Insights. The difference data relationship management can make. Part of the Rolta Managed Services Series Corralling Data for Business Insights The difference data relationship management can make Part of the Rolta Managed Services Series Data Relationship Management Data inconsistencies plague many organizations.

More information

Master Data Management and Data Warehousing. Zahra Mansoori

Master Data Management and Data Warehousing. Zahra Mansoori Master Data Management and Data Warehousing Zahra Mansoori 1 1. Preference 2 IT landscape growth IT landscapes have grown into complex arrays of different systems, applications, and technologies over the

More information

ENSURING A SUCCESSFUL SAP DATA MIGRATION

ENSURING A SUCCESSFUL SAP DATA MIGRATION ENSURING A SUCCESSFUL SAP DATA MIGRATION Presented By EXPEDIEN & KENNAMETAL Align Data Strategy With Your Business Goals Speakers Eric Stridinger, Global Data Management/EIM Lead/Manager, Kennametal Jeff

More information

MDM that Works. A Real World Guide to Making Data Quality a Successful Element of Your Cloud Strategy. Presented to Pervasive Metamorphosis Conference

MDM that Works. A Real World Guide to Making Data Quality a Successful Element of Your Cloud Strategy. Presented to Pervasive Metamorphosis Conference MDM that Works A Real World Guide to Making Data Quality a Successful Element of Your Cloud Strategy Presented to Pervasive Metamorphosis Conference Malcolm T. Hawker, Pivotal IT Consulting April 28, 2011

More information

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

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

More information

Informatica Data Quality Product Family

Informatica Data Quality Product Family Brochure Informatica Product Family Deliver the Right Capabilities at the Right Time to the Right Users Benefits Reduce risks by identifying, resolving, and preventing costly data problems Enhance IT productivity

More information

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

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

More information

Architecting BPM Through a Center of Excellence at Wells Fargo Bank Paul Tazbaz, Enterprise Architect, Wells Fargo, California, USA

Architecting BPM Through a Center of Excellence at Wells Fargo Bank Paul Tazbaz, Enterprise Architect, Wells Fargo, California, USA Building & Managing a Successful BPM CoE 11:00-11:30 Architecting BPM Through a Center of Excellence at Wells Fargo Bank Paul Tazbaz, Enterprise Architect, Wells Fargo, California, USA Architecting BPM

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

MDM Challenges and Solutions from the Real World

MDM Challenges and Solutions from the Real World MDM Challenges and Solutions from the Real World Toronto MDM Summit 2008 info@adastracorp.com www.adastracorp.com Agenda What is Master Data Management? Definitions by example How can I learn from the

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

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

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice

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

Contents. Introduction... 1

Contents. Introduction... 1 Managed SQL Server 2005 Deployments with CA ERwin Data Modeler and Microsoft Visual Studio Team Edition for Database Professionals Helping to Develop, Model, and Maintain Complex Database Architectures

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

Proven Testing Techniques in Large Data Warehousing Projects

Proven Testing Techniques in Large Data Warehousing Projects A P P L I C A T I O N S A WHITE PAPER SERIES A PAPER ON INDUSTRY-BEST TESTING PRACTICES TO DELIVER ZERO DEFECTS AND ENSURE REQUIREMENT- OUTPUT ALIGNMENT Proven Testing Techniques in Large Data Warehousing

More information

Agile BI With SQL Server 2012

Agile BI With SQL Server 2012 Agile BI With SQL Server 2012 Agenda About GNet Group Level set on components of a BI solution The Microwave Society Evolution & Change Approaches to BI Classic Agile Blend of both approaches Agility with

More information

Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop

Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop Hadoop Data Hubs and BI Supporting the migration from siloed reporting and BI to centralized services with Hadoop John Allen October 2014 Introduction John Allen; computer scientist Background in data

More information

Looking Back and Surging Ahead

Looking Back and Surging Ahead Business Intelligence atunisa Looking Back and Surging Ahead IBM Business Analytics User Group September 2011 Stuart Ainsworth Stuart Ainsworth Planning and Institutional Performance 2011 + Expansion of

More information

IBM Information Management

IBM Information Management IBM Information Management January 2008 IBM Information Management software Enterprise Information Management, Enterprise Content Management, Master Data Management How Do They Fit Together An IBM Whitepaper

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

Using Master Data in Business Intelligence

Using Master Data in Business Intelligence helping build the smart business Using Master Data in Business Intelligence Colin White BI Research March 2007 Sponsored by SAP TABLE OF CONTENTS THE IMPORTANCE OF MASTER DATA MANAGEMENT 1 What is Master

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

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

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

Semarchy Convergence for MDM The Next Generation Evolutionary MDM Platform

Semarchy Convergence for MDM The Next Generation Evolutionary MDM Platform PRODUCT DATASHEET Semarchy Convergence for MDM The Next Generation Evolutionary MDM Platform IT MANAGEMENT BENEFITS Get successful on time and budget Start with a tactical solution, build for tomorrow

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