Case Studies

Housing

One of the UK’s leading housing associations, Genesis own or manage around 33,000 homes across London and the east of England where around 100,000 people live at any given time.

CHALLENGE

At any given time there are around 100,000 people living in a Genesis home. As one of the UK’s leading housing associations, Genesis own or manage around 33,000 homes across London and the east of England and their stock portfolio includes a range of properties – from temporary housing to rented homes, homes for sale and supported housing.

Genesis had the following business initiatives:

  • Improve the customer and stock portfolio data quality across the multiple applications within the organization to reduce the cost and effort during correspondence with customers.
  • Ensure the stock portfolio had accurate postal addresses.
  • Enable real-time data integration across the major applications, and ensuring that data across these applications was consistent and accurate.
  • The ability to integrate additional applications within the environment when required, and decommission applications when no longer required.

 

 

genesis-logo

RESULT

Eccella was able to improve the Data Quality within the main business applications, by performing a detailed analysis which enabled the organization to identify issues within the customer data, and create intelligent business rules and apply them to correcting the data. To ensure the data remains consistent and accurate, the solution included the automation of cleansing inaccurate customer data and track, and provides dashboard (scorecards) which can be governed by the different business areas.

Genesis required data from the legacy applications to populate and app that can be used by both customers and staff to check or update (if needed) their data. This data include the details of Properties, Location, Tenancy, Transactions, etc.

Eccella was able to rapidly design and develop an automated integration solution that enabled the information to be made available to the app with minimal manual interference, and due to the data quality processes that had previously be developed, the data within the app could be relied upon to be accurate and consistent.

 

VALUE ADD

Improved Data Quality


Automated Address Validation


Systems Integration via Pub-Sub Model


Application Modernization for Internal and External Services