Challenges
01.

They had 35 lines of business, each with its own hierarchy and unique reporting lines​

02.

Inefficiencies in the data change process​ due to disintegration between the legacy systems and new technologies

03.

Information in multiple versions stored in disparate data silos​

04.

Large volumes of organizational data reaching close to 10 terabytes​

05.

Lack of clarity and accountability for managing the complete delivery of the BI project​

06.

Senior management had no basis for evaluating the return on investment (ROI) for the BI solution​

Solutions
01.

Collaborated to define KPIs and core parameters.

02.

Conducted infrastructure analysis to guide strategy.

03.

Optimized ETL processes for efficiency.

04.

Prepared for future regulatory changes and M&A impacts.

05.

Centralized data warehouse, reduced data volumes.

06.

Empowered analysts with a self-service portal.

07.

Implemented balanced scorecards with KPIs.

08.

Utilized Power BI for flexible self-service reports.

09.

Addressed hierarchy issues using OLAP.

Outcomes
01.

$2.5 Million in savings per year realized from cost and process efficiencies

02.

20% increased productivity among claims representatives

03.

Reduced turnaround time for new scorecards to less than 5 days

04.

30% process improvement in 3 months

05.

Data synchronization across all business lines

06.

Brought down total volume of data to 6 TB with efficient data archiving strategy

07.

100% Adoption of Performance Scorecards

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