From Dashboards to Data Apps: Sigma vs. Tableau vs. Power BI

BI Crossroads and the Current State of the Industry For years, the business intelligence (BI) industry has promised self-service analytics, democratized insights and agile decision-making. But most organizations are still stuck in the same old loop: open the dashboard, export to Excel, clean, combine, rebuild and...

If you’ve been following InterWorks over the years, you know we love a good metaphor for data and analytics concepts. Our newest metaphor might just be our freshest one yet. We call it the Data Laundry Cycle. I’ll give a quick explanation of how it...

Jumping into the world of interactive data apps can be intimidating, and understanding how to set up input tables correctly is vital to creating a functional app. Luckily, InterWorks is here to help. We’ve created a concise guide to clarify how and when to use...

The Databricks Data and AI Summit (DAIS) has once again brought together industry leaders, innovators and data enthusiasts from around the world. There were many exciting announcements, but I'll focus on the ones that stood out the most and will have an impact on the...

Why Sigma?  For many data users, dashboards represent the end of the data lifecycle. Data is ingested, transformed, cleaned, analyzed and finally visualized to support understanding and decision-making. Dashboards may have different filters or ways to change views, but even with the most advanced visualization capabilities,...

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