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Data analytics and business intelligence

Data analytics and business intelligence are two related but distinct fields that are critical to making data-driven decisions in modern organizations.

Data analytics involves collecting and analyzing data to identify patterns, gain insights, and make informed decisions. This process typically involves using statistical and machine learning techniques to extract meaningful insights from large and complex data sets.

On the other hand, business intelligence involves using data analytics to inform strategic decision-making at an organizational level. This includes activities such as reporting, dashboarding, data visualization, and data mining, all of which are designed to provide executives and decision-makers with the information they need to optimize business performance.

In summary, data analytics is a key tool for extracting insights from data, while business intelligence is the process of using those insights to drive organizational decision-making.

The role of a person to satisfy this service is to complete all these below challenges:

  1. Collecting and processing data from various sources

  2. Designing and implementing data warehouses and databases

  3. Creating and maintaining data visualizations and reports

  4. Analyzing data to identify trends, patterns, and insights

  5. Providing recommendations based on data analysis to improve business performance

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