SDAT is an abbreviation of Scientific Data Analysis Team that is a collection of groups who are specialists in various fields of Data science including: 

• Statistical Analytics
• Business Analytics or Business Intelligence 
• Big Data Analytics, Machine Learning or Artificial Intelligence
• Health Analytics including Bioinformatics, Neurosciences and Cognitive Sciences. 

The groups collaborate to solve data science problems that are considered by SDAT. It is SDAT’s intention to provide systematic data analysis capabilities to private and public organizations in order to enable them to optimize budgets, risk and operational processes for products and services. 

Data science is deep knowledge discovery through data inference and exploration. This discipline often involves using statistical techniques to solve some of the most analytically complex problems, leveraging troves of raw information to figure out hidden insight that lies beneath the surface. It centers around evidence-based analytical rigor and building robust decision capabilities.

Ultimately, data science matters because it enables companies to operate and strategize more intelligently. It is all about adding substantial enterprise value by learning from data.

The variety of projects that a data scientist may be engaged in is incredibly broad. Here are few examples:

• tactical optimization – improvement of marketing campaigns, business processes, etc
• predictive analytics – anticipate future demand, future events, etc
• nuanced learning – e.g. developing deep understanding of consumer behavior
• recommendation engines – e.g. Amazon product recs, Netflix movie recs
• automated decision engines – e.g. automated fraud detection, and even self-driving cars

SDAT helps its clients achieve success by providing them with the capability of bringing data-driven solutions to the problems faced by their organization.  Through research, education and platforms that support workflows for data-driven solutions, we improve the capability of organizations to leverage data in achieving real world solutions.  Consistent with our vision, we aspire to a future in which organizations are committed to data-driven solutions. SDAT Vision is "Organizations committed to data-driven solutions" and SDAT's Mission is "Increase data-driven solutions in organizations with platforms that engage users and improve results"

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