March 22, 2019

Top 25 Business Intelligence Tools Of 2019 And How To Decide

By 
Peter Weinberg

At Panoply, we’ve built a smart cloud data warehouse that will let you seamlessly integrate all your data, store it for analysis, and generate business intelligence insights as quickly as you can pull in data. As a result, we’ve become pretty familiar with the landscape of business intelligence tools, and we want to pass our knowledge on to you. We’ve rounded up a list of the top 25 business intelligence tools for you, and since they all work on top of Panoply, you’ll be able to slot them right into your data stack. If you need help choosing the right one for your business, skip down to the section on how to choose the right BI tool for you.

Business intelligence vs data analytics

If you’ve been researching business intelligence software, you’ve probably found yourself wondering what the difference is between business intelligence and data analytics. We tend to think of business intelligence as being a subcategory of the broader field of data analytics, one that’s mainly concerned with the important, but relatively straightforward, questions of inventory, customer activity, geographic distribution and the like. Unlike some of the more advanced, data science-related applications of data analytics, you don’t need to have a PhD in particle physics to use a business intelligence tool like the ones we’re listing here, but you’ll still be able to generate valuable insights about your business, goals and future opportunities.

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Periscope Data

Periscope Data includes a full suite of charts and dashboard capabilities and also merges the analytics code trifecta of SQL, Python, and R making it a good bet for bridging an organization between traditional BI and data science... Periscope Data takes the edge with overall data management and data governance. If your organization needs to manage access to data both at the table level and the visualization level, Periscope Data has got you covered. In addition to that, the Periscope Data Git integration adds another layer of trust and integrity to the whole data workflow.

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