Business Needs

  • Downloading of statements from multiple sources in different formats
  • Maintaining audit trail for all inputs used in reconciliation
  • Reconciliation at a plan level on daily basis
  • Flag discrepancies
  • Ability to make manual intervention, if required
  • Auto generation of reconciliation statement for client delivery

Key Features

  • Automated download of 300 plus files from various sources on daily basis
  • Configuration Management: Ability to onboard new clients, update mappi

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Business Needs

  • Data entry of acquired policies in the Policy Portal
  • Ensure highest level of accuracy in data entry
  • Requiring adherence to complex business rules
  • SLA of less than 24 hours

Key Features

  • Mapping of the excel file containing the data to the Policy Port screen
  • Identification of sub flows based on business rules as premise for data ingestion
  • Exception procedure to han

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Business Needs

  • Automation of the customer onboarding process
  • Performance measurement to ensure TAT adherence and closures
  • Identification of bottlenecks and process improvement opportunities
  • Technology interventions to reduce human effort

Key Features

  • Digitization of the on-boarding workflow via 3 layers – Data layer, Communication layer and Business layer
  • Process re-engineering and opt

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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

  • Data Lake for all Fund Performance, Trades, Risk, Finance, Customer Service, and HR data
  • Market and Research Data Quality

Key Features

  • Ingest 4 SQL Server instances, SharePoint, and Excel from managed data center into AWS Cloudera data lake and Redshift/SQL Server data marts
  • Data Governance and Information Access Security Program linked to new data platform to improve understanding and control
  • Managed AWS Cloud optimized for performance and availability at automated cost management

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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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