What are data analytics and business intelligence?

Business intelligence is a set of methodologies, architectures, processes, and technologies that transform raw data into meaningful and useful information used to enable more effective tactical, strategic, and operational insights and decision-making. Business intelligence includes tactics and tools such as: 1- Data Analytics 2- Benchmarking 3- Real-time monitoring 4- Data and text mining 5- Performance management 6- Dashboard development and reporting 7- Implementation of BI software, like Power BI It is primarily used by leadership teams and non-technical personnel, such as financial directors, chief executives, or chief information officers. Data analytics is the process of inspecting, transforming, collecting, cleaning, storing, modeling, and querying data. Data analytics' goal is to produce insights that inform decision-making in business and in some other domains, too, such as the government, sciences, or education. Data analytics is divided into 4 parts. These are; 1- Descriptive analytics. 2- Diagnostic analytics. 3- Predictive analytics. 4- Prescriptive analytics. It is usually the data scientists, preserve of analysts and computer programmers who have a more technical focus. I hope this will help you.

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Business intelligence addresses ongoing operations, helping businesses and departments meet organizational goals. Data analytics can help companies that want to transform the way they do business. Both disciplines can benefit from a little data preparation. And Data analytics is raw data is collected, cleansed, categorized, converted, aggregated, validated, and otherwise transformed. Clean data is also helpful for BI.

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