Real-Time Data Engineering & Business Analytics

Overview

The Impact

Accelerating customer service through real-time enterprise data and analytics.

• 25%

  Faster Customer Request TAT

  Reduced turnaround time with real-time customer information.

• Real-Time

  Enterprise Data Availability

  Enabled faster decisions with continuously updated business data.

• Improved

  Business Reporting

  Accelerated reporting with live enterprise-wide data visibility.

• Enhanced

  Customer & Risk Analytics

  Delivered more accurate analytics using real-time operational data.

The Challenge

Batch-based data processing delayed customer service, analytics, and business reporting across the organization. Outdated information reduced operational agility and limited timely business decisions.

1. 01

   Batch processing delayed enterprise data by one to two days.

2. 02

   Customer service teams lacked access to real-time customer information.

3. 03

   Analytics and risk models relied on outdated enterprise data.

4. 04

   Business reporting was delayed, slowing operational decision-making.

5. 05

   The organization required a real-time enterprise data architecture.

The Solution by Team Computers.

Team Computers modernized the bank's data architecture to deliver continuous, real-time business intelligence.

• 

  Migrated legacy batch ETL processes to real-time Change Data Capture (CDC).

• 

  Enabled real-time customer data for sales and customer service operations.

• 

  Improved regulatory reporting with continuously updated enterprise data.

• 

  Team Computers delivered live data streams for customer analytics and risk modeling.

• 

  Built a scalable real-time architecture for enterprise-wide reporting and analytics.