Some of the business operations such as cleansing the data, modeling the data, transforming the data and forecast future trends of data are the key aspects of implementing data analytics. BI is implemented only on historical data stored in the Data Mart or Data warehouses. Business Intelligence is implemented across many organizations to enhance their decision-making capabilities, analyze the business data, perform data mining, develop reports and improve operational capabilities.Data Analytics is a standard or common process that is employed under various procedures or strategies by many organizations around the globe depending upon their business needs. Data Analytics or Business Analytics is a process that helps the enterprise users to transform the raw or unstructured data into a meaningful format.Devens uses the term BI (Business Intelligence) to describe how a banker named Sir Henry Furness, has gained profit by analyzing his own environment to stay ahead of his competitors. The earliest usage of Business Intelligence was discovered in the ‘Cyclopedia of Commercial and Business Anecdote book’ written by Richard Miller Devens in 1865.
Key Differences between Business Intelligence vs Data analytics Hadoop, Data Science, Statistics & others
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