#bluecruxtalks in May: Building master data factories, together
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1) The document discusses building master data factories to capture value from advanced planning and scheduling (APS) implementations. It covers 7 guiding principles for setting up a data factory, including having an end-to-end focus in master data management, finding a "golden record", investing in analytical skills, and building a data organization. 2) Embedding quality from the start and challenging periodic reviews is important for high quality data. Defining data quality involves generating and maintaining quality data on an ongoing basis through analytical checks and business rules. 3) When implementing an APS solution, organizations should seize the opportunity to make a comprehensive business case for a data factory and create a dedicated data workstream equal to other transformation workstreams.
#bluecruxtalks in May: Building master data factories, together
- 1. #bluecruxtalks in May Buiding Master Data Factories, together
- 3. Digital planning: How to capture value from APS implementations – a number of our learnings. Part 1 – Building master data factories
- 4. Nice to meet you! Anneleen Tronquo Partner consulting Cédric Van Helleputte Head of Planning Life Science
- 5. Today we talk about… 1 2 3 Introduction to the Data Factory 7 guiding principles to setup your Data Factory 3 takeaways
- 6. 1 Introduction to the Data Factory
- 7. A DIGITAL WAVE IS GOING ON
- 8. A DIGITAL WAVE IS GOING ON… Thinking POC Decision Time Implementation CI phase #OnAJourney APS Lots of companies are on the way to fundamentally revise their landscape – implementing APS solutions replacing APO, moving to S/4, … AI capability S/4
- 10. DIDN’T WE DO THE SAME 20Y AGO?
- 11. CASE FOR CHANGE Let’s create the foundation! ECC Implementations Let’s plan our supply chain! APO Implementations The valley of disillusion Xls Wave APO retirement The APS Wave Let’s simplify The S/4 Wave Let’s increase value The AI Wave 1980-2005 1995-2010 2000-2015 >2010 >2018 >2017 Let’s increase efficiency The RPA Wave >2018
- 12. LET’S LEARN FROM THE PAST
- 13. CASE FOR CHANGE Let’s create the foundation! ECC Implementations Let’s plan our supply chain! APO Implementations The valley of disillusion Xls Wave APO retirement The APS Wave Let’s simplify The S/4 Wave Let’s increase value The AI Wave 1980-2005 1995-2010 2000-2015 >2010 >2018 >2018 Let’s avoid the valley of disillusion and learn from the past: 1. Process drives: Technical → business steered 2. Integrate your people all along your journey 3. Make your data explicitly part of it: Build your master data factory
- 14. DO YOU RECOGNIZE My plan doesn’t match reality The system is not working Your data is not correct or complete The data should just be there We don’t know anymore which data is doing what Master data is not sexy #Let’sNotGoThereAgain
- 15. CREATE YOUR DATA FACTORY ALL ALONG Triggers Data On Time, In full Business Drivers Business Goals Data Strategy Data Governance Toolset Metrics Security ComplianceData Quality BI / Analytics Architecture Enablers Maturity Assessment Project & Process Management MountK Change Management Business Data Stewards IT Data Management Stakeholders
- 16. 2 7 guiding principles to setup your data factory
- 17. MASTER DATA FACTORIES A cornerstone for all digital transformations, in planning & beyond Shaping your organisation, capabilities and mindset to capatilise on digital opportunities Shaping the level of informed decision making to match your speed of information and leverage the vast amount of information becoming available through digital capabilities Understanding the decisions you are driving and finding the right solution fit within your (planning) technology approach DIGITAL-READY PEOPLE & ORGANISATIONS NEXT GENERATION OF PLANNING ‘PROCESSES’ TECHNOLOGY STACK STRATEGY 4 KEY BUSINESS ENALBERS CAPTURE VALUE FROM YOUR APS IMPLEMENTATION
- 18. DATA FACTORY – A SET OF 7 GUIDING PRINCIPLES E2E focus in MDM Find that golden record
- 19. TRUE GLOBAL SUPPLY CHAIN &&
- 20. DATA FACTORY – A SET OF 7 GUIDING PRINCIPLES Invest in analytical skills Build a data organization E2E focus in MDM Find that golden record
- 21. THE DATA ORGANIZATION & DECENTRALIZED Master data activities happen within the business functions Close to business reality. Not core focus of the role. FUNCTIONAL Introduction of dedicated master data steward roles to support/ facilitate data maintenance activities Data steward role focus on tech. data activities Functional approach HYBRID Introduction of SC data configuration role to build analytical capabilities in E2E plan constraints. Further build analytical skills to increase data Q. More complex governance models. CENTRALIZED Data configuration happens in a cross-functional set-up, taking into account E2E constraints. Leverage analytical capabilities cross-functional. Data configuration becomes a pivotal role – aligning with many stakeholders SC Fctn 1 Fctn 2 Make Fctn 1 .. .. SC Fctn 1 Fctn 2 Make Fctn 1 .. .. Data Stew. Data Stew. Data Stew. Data Stew. SC Fctn 1 Fctn 2 .. .. Data config. Data Stew. Make Fctn 1 SC Fctn 1 Fctn 2 .. .. Data config. Data Stew. Make Fctn 1 &
- 22. DATA FACTORY – A SET OF 7 GUIDING PRINCIPLES Embed quality Challenge the periodic reviews Invest in analytical skills Build a data organization E2E focus in MDM Find that golden record
- 23. DEFINE DATA QUALITY? & QUALITY DATA Generating quality data as of day 1 Maintaining quality data all the time Analytical checks Changing environment Workflow management Business rules
- 24. DATA FACTORY – A SET OF 7 GUIDING PRINCIPLES Enable best-of-breed solutions Embed quality Challenge the periodic reviews Invest in analytical skills Build a data organization E2E focus in MDM Find that golden record
- 25. ALIGN DATA CAPABILITIES TO YOUR IT LANDSCAPE Importance of data strategy & governance capabilities. Useofbest-of-breed solutions Integrated model Core-satellite model Honeycomb model Layered stack model
- 26. 3 3 takeaways
- 27. APS IMPLEMENTATION TAKE-AWAYS SEIZE THE OPPORTUNITY Make a comprehensive business case, include the different elements of a data factory in your journey. Create a data workstream on equal footing with your business transformation workstreams. Your data factory is an area of investment to enable other business benefits.
- 28. Thank you! Anneleen Tronquo Partner consulting Cédric Van Helleputte Head of Planning Life Science Are you following us already…? Questions? Let’s connect!
- 29. Interested in more? Stay tuned for our upcoming #bluecruxtalks