Why CxOs care about Data Governance; the roadblock to digital mastery
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1. The document discusses strategies for removing friction from organizational data flow in large organizations. Exponential growth in data is creating challenges as data becomes more decentralized. 2. It argues that data should be viewed as a network of identities rather than a traditional hierarchical structure. Authority over data decisions needs to move closer to where information and knowledge resides. 3. For effective data governance, real customers and choices are needed. Data owners should have authority over decisions about their data domains while still relying on central services. Data ownership structures should be mutually exclusive and collectively exhaustive.
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Why CxOs care about Data Governance; the roadblock to digital mastery
- 1. Data Champions, Online Data Governance for the CxO in the Digital Era. Strategies that remove friction from organizational data flow in large organisations with Coert du Plessis, DataAlchemists, +61406313111 @coertdup June 2020 DataAlchemists
- 2. Still Chasing Master Data in 2020 is like…
- 3. Exponential growth in processing = growth in data Source: IDC Research, sponsored by Seagate https://www.seagate.com/files/w ww-content/our- story/trends/files/idc-seagate- dataage-whitepaper.pdf Singularity Hubb (Ray Kurzweil/ Moore’s law) https://singularityhub.com/2016/03/08/will- the-end-of-moores-law-halt-computings- exponential-rise/ IDC predicts that the collective sum of the world’s data will grow from 33 zettabytes this year to a 175ZB by 2025, for a compounded annual growth rate of 61 percent. Ray’s doubling of compute power/ $ Your list of $ budget demands
- 4. #1 We have important data and not important data ∝
- 5. Big corporate isn’t ready for 2x data explosion If you bravely lift the hood on large corporate data sourcing and integration today, it looks like spaghetti Macgyvered together with a swiss army knife, wire and Blu Tack.
- 6. We don’t want Macgyvered Data; We want the internet
- 7. API Economy is fundamental to automation – a network API Economy: From traditional data “stack” to data democracy
- 8. People Machine Gate Access Training Data 1 Data A Data II Data 2F Networks are built on identities – node by node API Economy: From traditional data “stack” to data democracy
- 9. #2 Data is a network of identities ∝
- 10. So if the data is a network, how do we organise people?
- 11. So if the data is a network, how do we organise people? Centralised teams Decentralised teams
- 12. What if we organised our people like our data, distributed? Distributed teams
- 13. We are used to moving information to authority Source: L. David Marquette, Author of “Turn the ship around”
- 14. We are used to moving information to authority Source: L. David Marquette, Author of “Turn the ship around”
- 15. We need to move authority to where the information is Decisions
- 16. … you lead by retaining the risk accountability Decisions Risk
- 17. Case study using some AI generated faces Source: AI Generated faces https://thispersondoesnotexist.com Business Analyst Improvement CIPO Chief Improve ment and Projects Officer
- 18. Case study using some AI generated faces Source: AI Generated faces https://thispersondoesnotexist.com Business Analyst Improvement CIPO Chief Improve ment and Projects Officer Principal Data Warehouse
- 19. Case study using some AI generated faces Source: AI Generated faces https://thispersondoesnotexist.com Business Analyst Improvement CIPO Chief Improve ment and Projects Officer Principal Data Warehouse Procurement Analyst HR consultant
- 20. Case study using some AI generated faces Source: AI Generated faces https://thispersondoesnotexist.com Business Analyst Improvement CIPO Chief Improve ment and Projects Officer Principal Data Warehouse CIO Chief Informati on Officer Procurement Analyst CPO Chief Procure ment Officer HR consultant CPO Chief People Officer
- 21. Authority to… Yes! Decide where they spend money to improve data quality?
- 22. Do you mean authority to… Yes! Host data in the cloud? Decide where they spend money to improve data quality?
- 23. Do you mean authority to… Host data in the cloud? Remove data? Yes! Decide where they spend money to improve data quality?
- 24. Do you mean authority to… Decide where they spend money to improve data quality? Host data in the cloud? Remove data? Yes! Define their own data API / Digital Twin?
- 25. #3 Move the data authority (decisions) to where the knowledge (information) is ∝
- 26. So how does this work? Customers? This node is reserved for a small g “god” It is not IT, or Tech or info sys These are not customers; If they can’t buy from anywhere else but the central god team
- 27. In a network, everyone is a customer, and a supplier This is a data customer This is a data customer This is a data customer
- 28. #4 Real customers means real choices and options ∝
- 29. Solving for Data Owners simplifies Data Governance 2x+
- 33. Beware Conway's law Source: Conway’s Law https://www.thoughtworks.com/insights/articles/ demystifying-conways-law “Any organisation that designs a [data] system will inevitably produce a design whose structure is a copy of the organization’s structure”
- 34. Data about … HR
- 35. Data about … People
- 36. Briefly – Bringing this talk together through data owners • Don’t get caught up in titles (custodians, stewards, managers, trustees) – Figure out who is the Data Owners • Data ownership is MECE! (Mutually Exclusive, Completely Exhaustive) – Stacks like Russian dolls – Can split hierarchy, or by region. – Guaranteed to show org design gaps / grey areas of political risk – 100% of data covered does not mean 100% of data is important data • Authority flows down to knowledge – Risk flows up to senior leaders • Data Owners are not demi-gods – They rely on services from Security, IT, Cost accounting and data cleansing/analytics • Data Owners are accountable for the data quality of their important data
- 37. #5 Data Owners are MECE ∝
- 38. Questions∝
Hinweis der Redaktion
- A topic that is crucial to the automated and data future
- BHP 1SAP chase.
- Your budget is static or slowly linear in growth. You will NEVER have enough money The real rub is my master data is just slow moving transaction data… my last name, my address, my gender… BHP a truck is not a truck, different TURBO, Tray
- And someone has to decide which is important data.
- Linked by identities – People, Machines and processes
- Linked by identities – People, Machines and processes It is not Identity and Access Management – whilst they go well together, the one part is 100% a security job, and the other, is 100% a strategic organisation and data governance decision. Identity is so much more than a secure tool … The internet DNS is the identity management equivalent of your data…
- Risk moves up. In fact, if you don’t know who owns data, just check who owns the risk. BHP had a reasonably well publicized issue with a 3rd party payroll provider mixing up a handful of payslips. That risk was born by the Chief People Officer.
- Headcount report
- Lower the friction, increase the speed of decisions and data use and lift the value and employee satisfaction.
- This shot from Apollo 8, 1968 – Nature has no borders. Started the environmental movement and earth day…. Data is the same.
- Erase the artificial organisational borders, and look at the substance… the ocean, the green the desert the mountains and the snow.
- Russian dolls, by region or by hierarchy
- If you don’t know who owns the data, just imagine who would own the catastrophic data exposure or error risk.
- E.g. in BHP Engineering is centralised, but the reality is it is run regionally.
- And cascade to the knowledge / information.