Big Data and Statistical Analytics

IIS offers analytic solutions for evidence-based support in your decision making, quality care, performance management, and business intelligence (BI).  By integrating millions to trillions of records, we identify recurring patterns, build metrics and implement BI portals that achieve value, optimization and cost advantages.

Statistics in business analytics

The main objective of Business Statistics is to make inferences (e.g., analysis, prediction, decision making) about certain characteristics of a population based on information contained in a random sample from the entire population. The condition for randomness is essential to make sure the sample is representative of the population.


Business Statistics is the science of ‘good’ decision making in the face of uncertainty and is used in many disciplines, such as financial analysis, econometrics, auditing, production and operations, and marketing research. It provides knowledge and skills to interpret and use statistical techniques in a variety of business applications. A typical Business Statistics analysis covers statistical study, descriptive statistics (collection, description, analysis, and summary of data), probability, hypotheses testing and data modeling using the best fit technique.


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