Case study

Turning raw data into customer intelligence and enhancing risk management

Customer Intelligence and Risk Identification

We successfully developed capability to probe the client’s raw data with the aim of generating a Customer Intelligence report containing high-level information and capability to drill-down to more granular data. Our consultants also identified metrics beyond the original brief, that indicated unusual customer activity, providing the basis for further investigation and enhanced risk management.

Learn more

Project overview

Our data analysts developed a unique capability to probe the client’s raw data, generating a comprehensive Customer Intelligence report. This report allowed us to identify key metrics through the Extract, Transform, and Load (ETL) process. From here, we conducted deeper investigations to enhance risk management.

Challenges

  • Overcoming data quality issues.
  • Overcoming lack of automated end-to-end system linkages.
  • Identifying customer metrics.
  • Improving the risk management process.

Outcomes

  • Comprehensive Customer Intelligence and Risk Identification reports.
  • Additional tool for client’s risk management process.
  • Replicable process allowing for on-going customer risk management.
  • Basis for additional risk metric identification.

Challenges

  • Overcoming data quality issues.
  • Overcoming lack of automated end-to-end system linkages.
  • Identifying customer metrics.
  • Improving the risk management process.

Outcomes

  • Comprehensive Customer Intelligence and Risk Identification reports.
  • Additional tool for client’s risk management process.
  • Replicable process allowing for on-going customer risk management.
  • Basis for additional risk metric identification.

// Objectives

Our client needed a team of data analysts to identify key customer metrics and turn its raw data into a comprehensive Customer Intelligence Report. Our client also needed us to improve its risk management process.

// Solutions

CubeMatch consultants determined business objectives and detailed requirements. They ascertained data sources to provide the required data and reviewed data to establish key risk metrics. They identified sources of data enrichment to augment the reports. They established end-to-end flows for data including storage, processing method and final product.

They overcame data quality challenges during the ETL process to provide meaningful data. They also devised manual intervention steps where necessary to overcome lack of automated end-to-end system linkages. They conducted unit, process, and system testing.

The team also ensured that all the project knowledge was transferred to the business users.

// Outcomes

Our team of business analysts successfully delivered comprehensive Customer Intelligence and Risk Identification reports. They identified metrics beyond the original brief, that indicated unusual customer activity, providing the basis for further investigation and enhanced risk management. They provided the client with an additional tool for its risk management process, alongside a replicable process allowing for on-going customer risk management.

Let’s discuss your needs today

Get in touch to see how we can power change for your business.