Success Stories

Scope

• Client’s Data Warehouse (DW) stores critical enterprise data catering to data requirements of Finance, Operations, Marketing and other stakeholders
• Certain key issues currently faced in the DW ecosystem:
  • Unavailability of processed data by 8 am London time
  • Inconsistency across data systems
  • Data quality issues

Solution

Sasken performed a 3600 audit of client’s Data Warehouse that included

• Data architecture
• Integration architecture
• Process
• Infrastructure

Impact

• Sasken’s findings have helped the client fix the problem of late arrival of processed data
• Made suggestions on technical stack changes (e.g., leverage Redshift)