PROFESSIONAL EVENT KEYNOTE-SPEAKER
Building Autonomous Data for the Enterprise with Data Fulcrum
Many years ago, the Data architecture included structured normalized and de-normalized data, in a semantic layer, being queried by a BI layer on top of it, providing descriptive analytics (Visualisation of as-is state for business to understand the past/existing state) and sometimes diagnostic analysis (Root cause identification on why the business is in the current state).
However in recent years, the Enterprise data landscape is becoming more and more complex and the Data (Structured, semi-structured and unstructured) is increasing exponentially, due to its explosion from scattered, isolated, unrelated, heterogeneous data sources, leading to the risk of information overload.
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