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Event:   DDMA Seminar Thema:  Datakwaliteit Spreker:  Jos Leber – T-Mobile Datum:  5 juni 2007 www.ddma.nl
Data Quality Award 2006 Presentatie T-Mobile  Seminar Data Kwaliteit DDMA  5 juni 2007 Jos Leber – Data Manager T-Mobile Netherlands BV DM
Van  Data Cleaning projecten naar Data (Quality) Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inconsistencies 2004
Stappen tijdens het Phoenix project Go Live  Q4  2005 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0. Definitie Scope Phoenix project  Q1  2006 Q3 2005 Q2  2005 Q1  2005 Q4  2004
Data Migration Process Data Migration Acceptance ,[object Object],[object Object],[object Object],… SOURCE … SOURCE BSCS  SOURCE BSCS  SOURCE CLARIFY TARGET CLARIFY TARGET Target  Database Definition Target  Database Definition Migration Process 1. Extract data 2. Clean/Transform 3. Upload Migration Process 1. Extract data 2. Clean/Transform 3. Upload Configuration Data  Data Mapping Rules Target Interface Designs  Data Masters Configuration Data  Data Mapping Rules Target Interface Designs  Data Masters INTERMEDIATE DATABASE INTERMEDIATE DATABASE CLARIFY SOURCE CLARIFY SOURCE
Stappen na het Phoenix project “ Road shows” Customer Services DQM Q3  2006 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0. Data Quality Management  Q4  2006 Q2  2006 Q1  2006 Q4  2005 Q3  2005
Data Definition Started in 2005 with ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Based on this (customer) data  standard  and norm we can  measure  data quality
The Scope of Data Definition   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Relation Data Management (Suspect/Prospect/Customer data) Product Data Management (Product/Service combinations, pricing, discounts) Contract Data  Management (Service, rate-plan, time period, other conditions) CRM Data Financial Data HRM data Network Administration Data
Technical concept DQ Dashboard BSCS Clarify Copy Copy Compare  & Quality Database tuned queries Spot inconsistencies2x Persistent inconsistencies CSV Monthly Da i ly Active Compare Statistics (Excel) + details file Summary Sheet (Excel) IPB Report (Powerpoint) Quality issues Active Quality Statistics (Excel)  + details file Weekly
Data Quality Management Results Since June 2005 T-Mobile has taken a structural approach to Data Quality Management (DQM)   Results since mid 2005 June 6 th 2005 November 17 th   2005 Result is: We have prevented  ca 20.000 potential customer problems like incorrect invoices, incorrect network settings etc For the customer this means  no disruption in using our products and services. For Customer Services this means fewer calls and fewer complaints.  For IT this means less incidents to be solved And ultimately higher customer satisfaction! June 6 th  2005
Data Quality & Inconsistency Monitor BSCS – Clarify Inconsistencies ,[object Object],[object Object],[object Object],[object Object]
Our approach to manage data quality is to continue the operative cleaning started with Phoenix and in parallel establish a conceptual data management to reduce the required cleaning effort Current focus is on reactive data-management. Trouble shooting when problems get identified  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data Quality Management   From Reactive to Adaptive Data Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Proactive Adaptive Reactive Incident &problem management; Clean/ repair data when problems become visible Preventive testing & data inconsistency monitoring in order to proactively identify and correct errors /problems Make sure new projects and changes are in line with business and data model Find and fix the root cause  Clean data manually or via  script
T-Mobile Enterprise Data Management Maturity model Service Mgmt   Risk   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Problem Mgmt - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - -- - - - - - - - - - -  Data Administration -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - -  Data   Management Reward - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - -
Waar staan we nu? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusie Lessons learned ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],+ Data Cleaning Fix  root causes
Data moet niet alleen gecleaned worden maar ook gemanaged !   We hebben het momentum van een project gebruikt om met data management te starten .   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],+ Adaptive Proactive Reactive

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DDMA Seminar Data Quality Award 2006

  • 1. Event: DDMA Seminar Thema: Datakwaliteit Spreker: Jos Leber – T-Mobile Datum: 5 juni 2007 www.ddma.nl
  • 2. Data Quality Award 2006 Presentatie T-Mobile Seminar Data Kwaliteit DDMA 5 juni 2007 Jos Leber – Data Manager T-Mobile Netherlands BV DM
  • 3.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Technical concept DQ Dashboard BSCS Clarify Copy Copy Compare & Quality Database tuned queries Spot inconsistencies2x Persistent inconsistencies CSV Monthly Da i ly Active Compare Statistics (Excel) + details file Summary Sheet (Excel) IPB Report (Powerpoint) Quality issues Active Quality Statistics (Excel) + details file Weekly
  • 11. Data Quality Management Results Since June 2005 T-Mobile has taken a structural approach to Data Quality Management (DQM) Results since mid 2005 June 6 th 2005 November 17 th 2005 Result is: We have prevented ca 20.000 potential customer problems like incorrect invoices, incorrect network settings etc For the customer this means no disruption in using our products and services. For Customer Services this means fewer calls and fewer complaints. For IT this means less incidents to be solved And ultimately higher customer satisfaction! June 6 th 2005
  • 12.
  • 13.
  • 14. T-Mobile Enterprise Data Management Maturity model Service Mgmt Risk - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Problem Mgmt - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - -- - - - - - - - - - - Data Administration -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - Data Management Reward - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - -
  • 15.
  • 16.
  • 17.

Notas do Editor

  1. 2 onderwerpen: 1. Wat doet Jos? 2. Data Management Maturity Model 4 Slides + 1 back up slide 10 minuten
  2. nbnbbnb
  3. nbnbbnb
  4. Begin van 2006 Dit was mijn maturity model Besef dat we van incidenten oplossen naar het voorkomen van incidenten moeten. 1. Verschuiven van operationele issues (DQM en Incidenten)  rechts = voorkomen van escallatie en preventie  structurele activiteiten. 2. Onder andere door meten. 3. International alignment  One company
  5. Research gedaan naar diverse modellen Eerst een vragenlijst gemaakt met 75 vragen (benchmark – best practice) Vragen samengevat tot 5 hoofd componenten en dat zijn ……….. Vorige week 26 en 27 sept DQ forum conference in Den Haag met als resultaat ……