The New Single Source of Business Truth – What is It?
Ronald Ross
Expert on policy interpretation, rules, concept models, vocabulary, knowledge and data.
Where are your business rules today? For most companies the answer is everywhere in general and nowhere in particular. The new knowledge paradigm, business knowledge engineering, is ultimately based on the notion of a single source of business truth.
Say ‘single source of business truth’ and many professionals immediately think it’s about data or information or meta-data. No! I mean explicit operational business knowledge in the form of business rules along with comprehensive traceability.
What are the goals for a trusted single source of truth?
- Empower compliance
- Retain operational knowledge
- Enhance business agility
- Reduce ‘maintenance’ costs
Who would a single source of truth serve? One audience is IT, but by no means is IT the only or even the primary audience. Actually, all audiences in an organization should be able to work off a single trusted source of truth for operational business knowledge no matter what their specific responsibilities. No one should be reinventing the wheel at every go.
The new knowledge paradigm offers boundless opportunities. Think about the potential for rapidly mainlining new business products. Consider how it could be used to produce timely and highly accurate training materials for line workers.
When you start thinking about managing core business knowledge as an asset you’ll be amazed at the ideas cropping up. Digital won’t get you there alone – knowledge is the fodder.
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Read more about business knowledge engineering: https://www.brcommunity.com/articles.php?id=b904
Find out how we help organizations solve these problems worldwide: https://www.brsolutions.com/
Enterprise Data Architecture Consultant
7 年Always!
Available for contract engagements. Interested in Enterprise Business Architecture / Transformation engagements.
7 年I agree but we know that collecting and reforming the rules to
Expert on policy interpretation, rules, concept models, vocabulary, knowledge and data.
7 年Phil, We've been involved where it's happened at the LOB level, though not perfectly. My position is that you have to have a vision of the problem and solution even if you can only achieve it at limited scope. Also, somebody needs to be pointing toward where software vendors should be heading. That's my 2cents.
Expert on policy interpretation, rules, concept models, vocabulary, knowledge and data.
7 年John, Support for disambiguation of terms is necessary in both vocabulary standards (both ISO 1987 and SBVR has it), and tools. Stanaadrdizing vocabulary is always a good thing, but never possible beyond a certain scope.
D365 Data Migration and Reporting
7 年I have pondered this for many years...like BI it has had many names and guises hasn't it...Knowledge Engineering is one...it's very theoretical though. Has anyone ever actually achieved this nirvana?