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De DDMA Commissie Datakwaliteit organiseerde 1 november 2011 voor de zesde maal de Dag van de Datakwaliteit en Data Quality Award. Het belang van datakwaliteit werd geïllustreerd door een groot aantal bezoekers. En indrukwekkende case-presentaties van onder meer de Nationale Postcode Loterij, Telegraaf Media Groep, Philips Electronics Nederland, Belastingdienst, Happy Home vakantiehuizen en Paul Postma.
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Master Data Management
Strategy put into action
November 1, 2011
Willem Albers
Program Manager MDMPhilips Corporate Functions
Introduction - SpeakersWho is presenting to you ?
John Wenmakers
Execution Manager MDMPhilips IT Applications
Philips, November 1, 2011 2
An Introduction to PhilipsAn Introduction to Philips
Philips, November 1, 2011 3
26%
39%
A strong diversified industrial group leading in health and well-being
“…a global company of leading businesses creating value with meaningful innovations that
Founded in 1891Headquartered in Amsterdam, Netherlands
Sales of €22.3 billion in 20101
Growth Markets32% of 2010 sales generated in
Who we are Our businesses Our mission
2010
Philips, November 1, 2011
35%
innovations that improve people’s health and well-being.”
32% of 2010 sales generated in growth markets
Globally recognized brand (world top 50)Our brand value doubled to $8.7bn since 20042
120,000 employeesSales and service outlets in over 100 countries
€1.5 billion investment in R&D, 7% of sales
Healthcare
Lighting
Consumer Lifestyle
2Source: Interbrand1Note - All figures from the year 2010 onwards exclude Television as it is treated as discontinued operation4
Philips and Master DataPhilips and Master Data
Philips, November 1, 2011 5
Seamless End2End processesExecute with high speed and excellence through effective End2Endcustomer value chains
Market to Order
Idea to Market
Order toCash
Develops products and services to meet customers desires and feedback
offers and presents these in the most appealing way
and delivers exactly on time to meet customers demands
Philips, November 1, 2011
customers desires and feedback appealing way customers demands
6
Transactions rely on High Quality DataA huge amount of transactions is running through our systems
Market to Order
Idea to Market
Order toCash
Develops products and services to meet customers desires and feedback
offers and presents these in the most appealing way
and delivers exactly on time to meet customers demands
Philips, November 1, 2011
Transactions depending on business relevant, consistent, accurate, timely available, unique, complete
Master Data
customers desires and feedback appealing way customers demands
7
Examples of potential impact of poor data qualityFaulty data impacts sales, customer satisfaction and operation excellence
Market to Order
Idea to Market
Order toCash
Develops products and services to meet customers desires and feedback
offers and presents these in the most appealing way
and delivers exactly on time to meet customers demands
Philips, November 1, 2011
customers desires and feedback appealing way customers demands
8
A structured approach moving forwardMDM improvements as a program, using business initiatives as carrier
Market to Order
Idea to Market
Order toCash
Develops products and services to meet customers desires and feedback
offers and presents these in the most appealing way
and delivers exactly on time to meet customers demands
Philips, November 1, 2011 9
customers desires and feedback appealing way customers demands
Business and Governance� Organize executive sponsorship and strong governance, secure
(management) commitment on all levels� Make sure the MDM program is connected to business
transformation programs, business must be in the driver seat� Define clear ownership for data elements� Define clear roles and responsibilities
Key conditions for successOur learning's - based on experiences and outside in
Philips, November 1, 2011 10
� Identify, activate and enable your MDM network� Define expert teams integrating Business, DM and IT
Strategy and Approach� Find the sweet spot, harmonize and standardize only where it
makes sense, don’t overact � Think big, start small, show success and scale fast� Recognize and accept that MDM is a multi year data journey� Balance parallel transformation activities� Perseverance
Strategy put into action Strategy put into action
Philips, November 1, 2011 11
During the project :� We analyzed roughly 1.5 Million Business Partners (Vendors and
Customers)� Covering more than 220 Countries� With the help of the regional and local Master Data Community
Which resulted in :
MDM4BP ….a true global projectSome key figures and achievements …
Philips, November 1, 2011
Which resulted in :� A consolidated and cleansed Global Master Data repository� A fully integrated cleansing environment� Delta processing, coordinated by a new defined standing organization � Interfaces to our surviving ERP kernels, One BI environment and CRM
solutions� Multiple reporting functionalities and KPI’s� Covering Multi Languages and double byte
12
A fully integrated cleansing environmentAutomated initial and delta processing
Philips, November 1, 2011 13
Current consolidation scenario Data processing (based on example)Steps of the cleansing & matching processAutomated initial and delta processing
Golden repository
Philips, November 1, 2011 14
Communication is key for success Reporting stakeholders via newsletters, movies, social media, …
Philips, November 1, 2011 15
Results (specimen) of our cleansing exerciseWe are not only cleaning, we also check consistency and add missing fields.
Philips, November 1, 2011 16
Specimen of metrics KPI’s are used to drive improvements, closing the loop (PDCA)
Philips, November 1, 2011 17
Project Organization� Communication to stakeholders is key for success
� Plan your resources, knowledge is scares
� Take care of business change management
Project Approach � Define a MDM IT reference architecture and a roadmap
Lessons learnedTakeaways
Philips, November 1, 2011
� Define a MDM IT reference architecture and a roadmap� Pilot one country to understand the full E2E process� Put effort in the validation, standardization and completion� Business validation session, needed to validate and agree
� Use 80/20 rule when defining cleansing rules
� Using technology to the full extend leads to the unexpected
� Store your source data in your central repository as well
� Standardizing COMPANY data is challenging
� Cluster countries instead of cleansing country by country
18
Questions and Answers
Philips, November 1, 2011
Tremendous amount of parameters to manageLooking for the perfect balance …
Philips, November 1, 2011 2121