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.
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
Overlapping solutions is a pluralist approach to analytics unique
and subjective pattern discovery and recognition.
to Data Tactics. This approach takes to heart the notion that no
Data Tactics Analytics (DTA) is uniquely positioned to offer one model or algorithm is ideal for a particular problem; rather,
signiﬁcant contributions in each one of these areas through each one makes assumptions that are variably met by each
a ﬂexible analytics platform that allows users to gain question and dataset. The elegance of analytics lies in its
maximal insights from data via intelligent data analysis, inelegance. As such, DTA employs multiple, overlapping analytics
to leverage each of their unique potency, while diluting limitations.
enhanced visualization and interactive analytics.
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."