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Analytic refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.

Core concepts and terminologies:

Data Analytic is the practice of using data to drive business strategy and performance. It includes a range of approaches and solutions, from looking backward to evaluate what happened in the past to looking forward to do scenario planning and predictive modeling. Data analytic is primarily conducted in business-to-consumer (B2C) applications. Global organizations collect and analyze data associated with customers, business processes, market economics or practical experience. Data is categorized, stored and analyzed to study purchasing trends and patterns.

Career Scope:

Analytic is the next big thing that is already starting to transform businesses and their ability to compete by helping them make smarter decisions. It is the new career of choice for those who want to stay ahead. After completing the program, learner will be able to understand business problems involving analytic and independently do statistical modeling for a variety of business functions.

Growth & Advantages:

Data analytic is the lifeline of any business. If some one wants to arrive at some marketing decisions or want to launch new product with launch strategy, data analysis is the key to all the problems. Data analytic is not decision making system but decision supporting system. Data analytic can offer the following advantages :-

i> Structuring the findings from survey research or other means of data collection.

ii> Acquiring meaningful insights from the data set.

iii> Basing critical decisions from the findings.

iv> Ruling out human bias through proper statistical treatment.

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