Analytics is more than just algorithm development; it requires deployment. The utility of an analytic is in its ultimate use mitigated by its deployment and presentation to users. Deploying analytics requires objective pattern discovery and recognition and computing platforms but should also be sensitive to user experiences, workflows and subjective pattern discovery and recognition.

Data Tactics Analytics (DTA) is uniquely positioned to offer significant contributions in each one of these areas through a flexible analytics platform that allows users to gain maximal insights from data via intelligent data analysis, enhanced visualization and interactive analytics.

The Data Tactics Analytics Practice is a specialized team of tool-makers who generate overlapping and interactive analytical solutions, often from scratch, to meet the unique needs of our customers. Our Data Scientists hold advanced degrees from top universities in mathematics, computer science, aeronautical engineering, astrophysics, electrical engineering, statistics, and the social science(s) and support varied missions both operational to research for customers such as DARPA, DHS and the United States Army.

Overlapping solutions is a pluralist approach to analytics unique to Data Tactics. This approach takes to heart the notion that no one model or algorithm is ideal for a particular problem; rather, each one makes assumptions that are variably met by each question and dataset. The elegance of analytics lies in its inelegance. As such, DTA employs multiple, overlapping analytics to leverage each of their unique potency, while diluting limitations. Analytical pluralism is a representative democracy that functions by

competition among parties who all believe they know the right way to solve the problem.

Data Tactics Analytics believes that overlapping and interactive solutions will unlock the power of analytics. Our Data Scientists approach the problem by assuming there are many best ways to solve a problem and embrace alternate solutions that have historically and egregiously been ignored at the users expense. The lesson is to abandon the question "What is the cleverest way to solve the problem" in favor of "What suite of multiple,

overlapping and interactive analytics give ways to solve the problem."