MAR 1, 2010 9:26am ET

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Next Gen of Metadata Driven BI Apps

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We all struggle with complexity of designing, building and maintaining BI apps. Why? Among many other reasons, the simplest one is that there's just too many components involved. Just to name a few:

  • Data sourcing
  • Data extraction
  • Data integration
  • Data cleansing
  • Data aggregation
  • Data modeling (star schemas, cubes)
  • Metrics management
  • Queries
  • Reports
  • Dashboards
  • Alerts
  • Delivery (portals, schedulers, emails, etc)

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Comments (3)
Boris, I am an experienced BI Consultant and agree with the blog article. We know that providing a consistent, single version of the truth across all sources of information is one of the biggest challenges faced by Business Intelligence (BI) Vendors today. Every BI Vendor seek to have powerful ETL capabilities using some metadata-driven approach. The success any Business Intelligence endeavor depends on having access to all databases or data sources, regardless of format or type. To date, access to all data across the enterprise is accomplished by creating an enterprise data warehouse or some sort of hybrid data warehouse.

However with this approach:

- Data is copied from various sources to another holding place: A new super database comprised of all the source databases (data warehouse). - Years of man hours are spent in mapping the various data sources to generate one consistent super database (data warehouse)

I recently came across a new approach to the data problem for BI. With LinkWex Maestro, data from disparate sources, including web services, are unified into a virtual data warehouse. Maestro normalizes disparate data sources, links them using our unification engine (no manual mapping) and then virtualizes the combine data to be serviced via our extensive set of Application Programming Interface (API). No copying, No replication, and No expensive Hardware.

Check out www.linkwex.com.

Posted by Amit H | Monday, March 01 2010 at 5:32PM ET
For you vendor list, I'd like to suggest you add Intersystems.

Intersystems(www.intersystems.com) has a line of products that address some of the issues you mentioned.

I've been following meta-data agility since 2004 and think the relational model is starting to really feel the stress under agile and fast changing business needs of today.

-Mahinda Gunasekera

Posted by Mahinda G | Tuesday, March 02 2010 at 4:20PM ET
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Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?

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