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

  • Consolidate data into a single Data Lake based customer view
  • Automation of Customer Onboarding

Key Features

  • Perform Events based processing in Near-Real Time (NRT) for AML, KYC and OFAC
  • Aggregated NRT dashboard for Anomalies visualization in near real time
  • Bespoke NRT Replication built by Elevondata using Talend for delta loads
  • Data Lake for all “Programs” (B2B Client data stores) for Data Sciences

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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.

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