Data design needs to step up to new challenges. For one thing, traditional techniques are discon nected from unstructured data. For another, they fall short in addressing f undamental communication challenges. The issue nagging at many professional s is how to get at the deep knowledge in business people’s heads, dis ambiguate it, and lay it out for validation and reference.
\nEffectiv e data access and design depends on business knowledge, which is more compl icated – far richer – than most realize. It requires a blueprint and a robust business vocabulary. Concept models provi de the answer. They are leading the way in addressing a host of digital-era -problems, all the way from eliminating silos to machine learning.
\nFind out how to equip yourself for effective data design and for the busine ss communication on which it depends.
\nLearning Objectives:
\n\n What goes into creating a concept model\n How to create a robust, world-class business glossary\n How to use a language-based approach to avoid common pitfalls in data desig n\n Why ambiguities arise in business communication and how they are resolved\n How to achieve clarity and precision in knowledge transfer\n\nThis sessi on is based on the author’s new book: Business Knowledge Blu eprints https://www.brsolutions.com/publications/busin ess-knowledge-blueprints/
\n DTSTART:20200325T120000 SUMMARY:Concept Models: Enabling Your Data to Speak the Language of the Bu siness DTEND:20200325T125959 LOCATION: See Description END:VEVENT END:VCALENDAR