There are opportunities in your data: to predict where you will find your next customer; to understand what a current customer will want next; to perceive where your operational risk lies; how to satisfy a regulatory reporting requirement which cannot be fully anticipated.

The article has been featured in Timesjobs.com written by Manish Soota - VP, Pre-sales & Solutions

Setting the right expectations with the candidates and having the right set of analytical platforms would allow any organization to improve its recruitment process.

Business Needs

In the realm of financial security, Elevondata faced the challenge of consolidating data into a single Data Lake to establish a comprehensive customer view. The demand for automating customer onboarding while adhering to AML, KYC, and OFAC regulations was pressing.


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Business Needs

  • Reconcile Product UOM in Supplier Invoices against Retailer Receiving
  • Manage data quality lapse in multi-billion dollar payment processing with multiple suppliers with their own invoicing systems, and paper or manual invoices.

Key Features

  • A unique Data Sciences based approach using K-Means Clustering around UOM Price Clusters at multiple hierarchy levels such as Retailer, Chain, Store level.
  • Match mu

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