More clients depend on software for their operations. The amount of data produced is staggering. But it takes sophistication, beyond Excel to excise precisely what’s needed in a data set for meaningful analysis. At times it can be like finding the proverbial needle in a haystack.
I started out as a software developer back in the days when creating your own programs was the only way to procure and sort data from various systems. As I transitioned to leadership financial roles, I’ve discovered that I often dip back into my engineering background, especially as meaningful data becomes key in financial modeling.
By providing data integration from various sources, clients can more easily focus on gleaning insights from the data. Additionally, by using software development principles, I’m able to insure data integrity by encapsulating data manipulation and insuring data traceability so that modeling becomes more accurate and dynamic.
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