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8 Top Data Science Platform Developers in the World

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Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.

Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data. 

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An effective methodology for BI Implementation

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Given below is an approach that one could follow to ensure an effective implementation of any BI project.
how to implement bi prjectss

Steps in Business Intelligence Project

  1. Requirements elicitation is the most important activity in a BI exercise. We need to very clearly understand the motivation behind the management's need for analytics and their short-term, medium-term and long-term objectives. 
  2. You may conduct a workshop with all stakeholders to understand these requirements. Identifying and involving all stakeholders in the requirements discussion is very important to gain buy-in for the BI initiative throughout the enterprise.
  3. Anyone would like to see a sample of analytics and play around a little to get a sense of the benefit/impact of analytics. Hence developing a quick prototype and showcasing the same to all stakeholders will help you get the necessary impetus for the initiative. 
  4. CAVEAT: Please ensure that the prototype development does not take more than two weeks.

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