Business Intelligence vs Data analytics

June 2, 2019

Business Intelligence and Data Analytics sound similar, don’t they?  From an outsider perspective, both Business Intelligence and Data Analytics might serve a similar purpose, but they are utilized to deliver different outcomes based on the business requirement. This article focuses on listing out the key differences between Business Intelligence and Data Analytics. Introduction Business Intelligence deals with complex strategies and technologies that help end users in analyzing the data and perform decision-making activities to grow their business. The earliest usage of Business Intelligence was discovered in ‘Cyclopedia of Commercial and Business Anecdote book’ written by Richard Miller Devens in 1865. Devens uses the term BI (Business Intelligence) to describe on how a banker named Sir Henry Furnese, has gained profit by analyzing his own environment to stay ahead of his competitors. Data Analytics or Business Analytics is a process that helps the enterprise users to transform the raw or unstructured data into a meaningful format. The transformed information can be utilized to cleanse, transform or model the data to support the process of decision making, derive conclusions and implement predictive analytics. 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.

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Software AG (Frankfurt TecDAX: SOW) helps companies with their digital transformation. With Software AG’s Digital Business Platform, companies can better interact with their customers and bring them on new ‘digital’ journeys, promote unique value propositions, and create new business opportunities. In the Internet of Things (IoT) market, Software AG enables enterprises to integrate, connect and manage IoT components as well as analyze data and predict future events based on Artificial Intelligence (AI).

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