With modern BI product suites such as Oracle Business Intelligence Enterprise Edition having the ability to reference multiple star schemas from a single dashboard, the motivation to create consistency among reporting dimensions is greater than ever. But the very reasons for creating multiple star schemas are rooted in subtle dimensional differences related to the particular business questions of the consumers of the star. This creates a largely misunderstood data management opportunity that exemplifies the value proposition for analytic MDM. This detailed discussion of star schemas, fact and dimension tables, data mappings, and the processes behind the scenes includes proven use cases and strategies for leveraging data relationship management to reduce risk while increasing ROI.
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When/Where |
Speaker Naren Truelove Director – Analytic MDM and BI Serene Corporation ntruelove@serenecorp.com |
Speaker Bio
Naren has nearly two decades of success helping Fortune 100 clients implement data management solutions for a variety of industries. He currently leads Serene’s practices for the financial, analytic, and product master data domains. Naren’s passion leveraging master data to drive both operational and business intelligence improvements have benefited dozens of enterprise implementations.
Prior to joining Serene, Naren held management positions at Oracle and Hyperion, where he led consulting services practices, helped drive product strategy, and briefed industry analysts. Former members of his practices now hold management positions at Oracle in the consulting, sales, engineering and product management areas. Naren has a Bachelor’s degree in Management Information Systems from Oklahoma University.