What is Data Science: Not What It Used to Be.


What is Data Science?
What do Data Scientist do?

Data Science is a multidisciplinary field that requires a “village”, the “UNCOMN village”.  Each member of this village acts as an investigative journalist, always asking the same question multiple times, “WHY?”. Our village leverages the genius of the individuals at UNCOMN to extract, transform, and load data from structured and unstructured sources (our Data Engineers), explore and model the data (our Data Analysts), and finally interpret the results and communicate the story the data tells (our BI Analyst) all while understanding the overall business.

The UNCOMN Data Scientists are adept at wrangling data from multiple sources including Oracle databases, XML files, PDF documents, and Excel files. Data Scientists then transform data to represent business facts or measures and dimensions (the descriptive attributes of the facts or measures.)  Once the data is formatted in a manner best suited for analytics, the Data Scientist creates various forms of analytics (descriptive, diagnostic, predictive, and prescriptive) utilizing R Script, Python, and SPSS to look for correlations, trends, and other incredible and actionable insights that can be teased out of the data.

You can have data without information, but you cannot have information without data. ~ Daniel Keys Moran, computer programmer and science fiction writer


A picture is worth a thousand words, but only if the picture can be understood and clearly relates to the customer.  Our team utilizes both desktop and enterprise-based business intelligence tools (Cognos, Tableau, QuickSight, and PowerBI) to formulate the story that enables leadership to make informed decisions instead of opinions while simultaneously putting analytics in the hands of users.

In the end, no one person can do it all – It takes an interdisciplinary team to solve large and complex data problems.