Sterling Life faced several key challenges. First, its management was not able to generate insurance claim historical reports quickly enough (e.g. 24 hours). To address this, we used ETL to build a DataMart database and then fine tuned their DataMart database, which spanned several decades of data. Secondly, the organization had a significant number of employees and auxiliaries that each had their own Excel spreadsheets and databases to calculate insurance claims and rates. Sterling Life needed to centralize data on a large scale and organize it in logical, coherent way.
We then introduced a process that would allow the company, its employees and auxiliaries to synchronize separate pieces of data into a central database.