Data Analytics vs. Business Intelligence

The article discusses the differences between data analytics and business intelligence (BI), as well as their applications in organizations. Data analytics is defined as analyzing raw data to make conclusions, while BI is a subset of data analytics focused on business problems and use cases. Data analytics includes complex pursuits like predictive modeling and machine learning, which are beyond the scope of BI. The article also highlights different levels of data analytics: descriptive (focusing on past events), predictive (forecasting potential outcomes), and prescriptive (advising actions based on analytics models). To make use of these tools, organizations need a multilevel data analytics software stack, including reporting tools like Google Data Studio, Microsoft Power BI, Tableau, and Looker. The article concludes by emphasizing the importance of having a fully managed data pipeline to populate a central analytics repository for better business outcomes.

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