Year2010 – now
RoleProcess Engineering, Machine Learning
TechnologySharepoint, JD Edwards, Microsoft BI, Cognos, Salesforce, .NET, Jira, TFS, Citrix, VMWare, Umbraco, Alfresco, Oracle
Every M&A increases operational expense.
Keep the cost down by retiring legacy applications.
Our client is a $5 billion Global Insurance Brokerage and Risk Management firm involved in expanding business by mode of M&As across the globe. Large scale M&As resulted in huge operational expenses to maintain multiple live systems. Also, integrating legacy data into go-forward system was turning out to be quite expensive and complex. The requirement was to rein in the expenses to maintain live systems and make legacy integration less complex.
Find the legacy data when you need them.
With pluggable contextual data search platform.
We implemented an application retirement program that ‘terminated’ 24-month pipeline of applications. This required a consistent approach to migrating data to target systems, without shutting down the operational processes of the run-off business. We also built a Legacy Data Repository (LDR) platform — where the user is provided with a quick and contextual search of data and documents of legacy applications inherited through M&As.
Innovation seed sowed as a pilot.
Grew fast to become CIO’s top 10 priority.
The solution that started as a prototype, became the CIO’s top 10 project with a projected savings of $4.5 million over 3 years. Lightning fast application on-board proved to a gamer changer, facilitating faster adoption. The platform also simplified search and information access along with self-service reports. This initiative has led to 80% reduction in OPEX through cost-effective solution to migrate legacy data sources into a single, secure repository.