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DATA SCIENCE

DATA SCIENCE

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Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to Knowledge Discovery in Databases (KDD).
Data science is a “concept to unify statistics, data analysis and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization.

Most companies estimate they’re analyzing a mere 12% of the data they generate, according to Forrester Research. It’s not for lack of effort, but often for lack of qualified resources to conquer the many analytical opportunities on the table.
The challenge isn’t what can be done with the resources at your disposal, but rather, what you can accomplish by thinking outside of the box, to smooth out resource requirement peaks, and accomplish more.
Opportunities abound and often it’s suitable to sublimate projects to try new analytical approaches or simply fill a need in a particular area to accelerate go-to-market.
Our expertise in Data Science can help you harness your Big Data and turn it into real business value. Some of our key services include Analyzing data assets of an organization, Developing Data Science roadmaps, Creating algorithms to address data challenges, Creating visualizations.
We take pride in not just successfully accomplishing the technical objectives of the analytics effort, but also delivering the targeted business outcomes by providing a multi-dimensional skill set including business analysts and subject matter experts, in addition to experienced data scientists. Our team has the experience of non-intrusively deploying or operationalizing, and supporting the analytics in live business environments.