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We’re excited to be a sponsor of the first ever Modern Data Stack Conference Organized by Fivetran on October 21 and 22! Join us at the event to learn how to utilize modern data stacks to push analytics forward.

Modern businesses have more data available to them now than ever before. With this abundance of data also comes the need to interpret it in meaningful ways. While data analysis has clear advantages, it can be overwhelming to figure out where or how to start. In this post we’ll explain five steps to get you started with data analysis.

The average business is juggling an increasing number of SaaS products with an increasing yearly cost. The landscape is varied and dynamic. The typical mid-sized company saw 39% of their SaaS stack change last year. How do business leaders ensure strong ROI on SaaS spending and reduce product churn? The following three e-learning concepts represent a shift in corporate training to give users a compelling experience.

Choosing the right visualization for your data can be a daunting task. You may put in countless hours gathering requirements, identifying the data needed to solve your business question, and triple-checking your calculations for accuracy. As you near the finish line, you select the first visualization that seems to suit your data. You don’t spend too much time on this step because you believe the data speaks for itself. While that may be true to an extent, choosing a visualization can have a large impact on how well your data is received. This doesn’t have to be an unsettling task if you have a clear idea of the end goal in mind. Let’s walk through a few common visualizations for expressing your data story.

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