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Differences between data analytics vs business analytics.
Business analytics vs data analytics. Both data analytics and business analytics involve the use of data to inform decision making and ultimately prepare a business for the future. A quick but deep dive into data analytics and business analytics. An intro to data analytics data analytics is the process of collecting and examining raw data in order to draw conclusions about it.
Every business collects massive volumes of data including sales figures market research logistics or transactional data. Business analytics revolves around the world of data extraction from structured and unstructured datasets. Data analytics is more technical centric than the other in terms of technical skillset as a data analyst would be doing hands on data cleaning data purging finding correlations etc.
Business analytics and data science these two terms are used interchangeably wherever i look. Today the current market size for business analytics is 67 billion and for data science 38 billion. Data governs certain decisions that are used to look back at past performances analyze current standings and forecast a look at potential future performance.
Business analytics is implemented to identify weaknesses in existed procedures and to surface data that can be used to drive an organization forward in efficient.
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