The document outlines Shell's efforts to establish effective business processes for information management. It discusses how Shell consolidated data skills by creating a data management organization in 2004. In 2008, Shell established data as a distinct business process with clear responsibilities. Most recently in 2011, Shell implemented a training program to sustain data skills and raise awareness of effective information management practices across the organization.

1. Establishing Business Processes for
Better Information Management
A Case Study from Shell
Ken Self
Data Manager Strategy and Standards
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2. About Shell
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3. Establishing Business Processes for Better
Information Management
Implementing an information management process that integrates
with business processes
Raising awareness and building skills in information management
Establishing continuous improvement
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4. Agenda
Background
Consolidate Data Skills
Establish a Data Process
Sustain the Skill Pool
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5. Where we have been - timeline
2004 Formed a global team in Downstream focussing on master
data
2005 Data Quality Standards applied
2006 Central data management operations goes live
2007 Automation of quality checking
2008 Data Process established with Group responsibilities
2009 Upstream data operations commence
2010 External benchmarking
2011 Data quality training programme
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6. Key Business Processes and related Data Objects
Asset Integrity
? Asset, equipment, functional location
Hydrocarbon Inventory Management
? Product, plant, storage location
Offer to Cash
? Customer, product, pricing
Requisition to Pay
? Material, service, vendor, contract
Well and Reservoir Management
? Field, reservoir, well
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7. Agenda
Background
Consolidate Data Skills
Establish a Data Process
Sustain the Skill Pool
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8. Consolidate Data Skills - what we did
Create a data management organisation (2004)
? Initially focussed on data operations (create, update, delete)
? Guide process teams designing business processes on data best
practices
Consolidate part-time data workers to full-timers
? 5,000 individuals in the business -> 1,000 FTEs
Document and standardise data management procedures
? Consistent application of business rules
? Standard process for all data objects
Measure data quality and process KPIs
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9. Consolidate Data Skills - value
Implementing an information management process that integrates
with business processes
? Implement an end-to-end data management process
? Data quality requirements defined by business process owners
Raising awareness and building skills in data management
? Communicate the need for data governance
? Concentrate the skill pool
Establishing continuous improvement
? Measure data quality and data process performance
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10. Agenda
Background
Consolidate Data Skills
Establish a Data Process
Sustain the Skill Pool
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11. Establish a Data Process - what we did
Data recognised as a distinct process (2008)
? Alongside other process executives and owners
? Process Executive (VP) and Process Owner for Data
Responsible for operations, design and business interface
? Controls, standards, procedures, measurement, reporting
Establish continuous improvement to data processes
? LEAN Sigma training
? Measurement, Logging errors
External benchmarking
? Best practices, Top Quartile
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12. Establish a Data Process - value
Implementing an information management process that integrates
with business processes
? Data processes managed end-to-end in one place
? Improvements driven by business process requirements
Raising awareness and building skills in information management
? Increased focus on data as a process
? Increased need for design skills as well as operational
Establishing continuous improvement
? LEAN Sigma applied to data processes
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13. Agenda
Background
Consolidate Data Skills
Establish a Data Process
Sustain the Skill Pool
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14. Sustain the Skill Pool - what we are doing
Implemented a Data Management training programme (2011)
? Reduce dependency on vast experience
Awareness training for everyone
? One hour e-Learning video & case study
Knowledge training for developing data practitioners
? Workshops, reading, eLearning, assignments
? ~40 hours commitment over 3 months
Knowledge training for business process managers and data
workers
? "Light" version of practitioner training - under development
Skill level training and certification for data professionals
? Emphasis on practical application through projects
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? IQCP certification from IAIDQ

15. Sustain the Skill Pool - value
Implementing an information management process that integrates
with business processes
? Increased understanding of the needs of our data customers
Raising awareness and building skills in information management
? Training courses for data workers
? Data awareness training for all
Establishing continuous improvement
? Pipeline of green belts and black belts with data expertise
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16. Recap
Five key processes
2004: Created a data organisation to consolidate data skills
? Focus on data management operations
2008: Created a data process organisation
? Focus on continuous improvement
2011: Implemented a data management training programme
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17. Q&A
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