Tools in Data Science: Power BI

Intro

There’s lots of data science tools at your disposal to perform analysis of data. Each tool in data science comes with benefits and drawbacks. One example of these tools is Power BI.

Power BI

Among the benefits of Power BI from Microsoft are the following:

  • Power BI facilitates the process of data integration and developing visualizations. You can create meaningful stories with data by importing it from a plethora of formats and various internal and external sources.
  • Power BI Desktop is free of charge. You can obtain Power BI service is available to collaborate with colleagues at the relatively low price of $ 9.99 per month per user month or at no extra expense to those who are Office 365 E5 users.

Among the drawbacks for Power BI are the following:

  • People who need advanced analytics from Power BI will need to learn how to use additional, more complicated tools (Power Pivot, Power Query, etc.) and possibly need to work with a consultant to conduct the complex analysis.
  • When people must to maintain their data and reports on-site due to legal regulations or the nature of their particular industry, I recommend them to utilize Power BI Report Server. However, this resource is only part of the Power BI Premium plan, which requires paying $4,995 per month or more for the option of retaining Power BI content on-site.
  • There are limits to how much data you can work with in an individual Power BI dashboard. For example, you can import up to 1 GB of data into Power BI Pro. This limits the complexity of the reports and dashboards that you can build.

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