BI tools

Shiny, Tableau, and PowerBI: Better Business Intelligence

2021-07-12 Marcin Dubel (Appsilon)
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We compared the features and capabilities of Shiny, Tableau, and PowerBI for delivering insights in enterprise organizations. This is our opinion on how they stack up. Read more →

Code-First Data Science for the Enterprise

2021-05-12 Lou Bajuk and Nick Rohrbaugh
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While you may already be a practitioner of code-first data science with R or Python, chances are you work within a larger organization with many analytic tools. In this post, we give you some advice on navigating this landscape, and convincing others in your organization of the value of code-first data science. Read more →

BI and Data Science: Deliver Insights Through Embedded Analytics

2021-04-01 Daniel Petzold
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Continuing our series on self-service BI tools and code-first, open source data science, we explore embedded analytics and why they are a critical way for a data science team to deliver insights. We also discuss the unique needs that will be demanded of data science teams as they deliver insights that are secure, scalable, and flexible to multiple end user’s needs. Read more →

BI and Data Science: Collaboration Using Data Handoffs

2021-03-25 Sean Lopp
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One powerful approach for BI and data science collaboration is to share augmented data. In this post we cover the details of this technique and include an example where data scientists supply BI teams with forecasts and calculated columns. Read more →

BI and Data Science: Matching Approaches to Applications

2021-03-18 Lou Bajuk
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In this post, we'll provide some insights from organizations who have used both types of tools and give some guidance about which you should use when. Read more →

BI and Open Source Data Science: Strengths and Challenges

2021-03-11 Lou Bajuk
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Continuing our series on self-service BI tools and code-friendly, open source data science, in this post we dive into the strengths and challenges of the different approaches. Read more →

BI and Data Science: The Best of Both Worlds

2021-03-04 Lou Bajuk
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In many large organizations, Business Intelligence and Data Science teams compete for budget and mindshare. By focusing on how data science can both augment and complement BI tools such as Tableau and PowerBI, these teams can unite on their common goal: delivering data-driven insights for better decision making. Read more →