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Introducing Sisu Dashboards and Explorations

By Davide Russo - September 28, 2021

Today we launched Explorations and Dashboards, new capabilities that complement Sisu’s powerful Decision Intelligence Engine and make it easier than ever to ask questions of data, monitor metric performance, and share and collaborate when making data-driven decisions. Unlike traditional dashboards, our tiles are equipped with ML powered diagnostics so you can automatically reveal the key drivers behind changing metrics with a click.

 

 

Businesses of all sizes use Sisu to explain why their metrics change. However, in speaking to many of our users, we realized that they still use pivot tables and dashboarding tools to explore their data and track their metrics. Once they realize that a metric is changing they’ll jump into Sisu and figure out why.

Jumping between tools is always painful, and users expressed a strong desire to explore data, analyze key drivers, and track metrics in a single platform. With Sisu’s new Exploration and Dashboard, data specialists and business owners are able to use ML-driven key driver analysis together with familiar, on-demand pivoting and visualization capabilities. This makes it quick and easy to iteratively answer “what” and “why” questions all in one place. Coupled with the ability to set up alerts, this makes Sisu the easiest and most powerful way to make decisions from data.

Whether you’re just starting to look at a new data set, have just uncovered something interesting using ML-powered key driver analysis, or a dashboard showed some change you want to investigate, pivot tables provide the flexibility to surface the data you want, in the shape you want, and apply filters—all without the need to learn complicated SQL. For example, you may drag and drop dimensions, like “Revenue”, “Product category”, and “Region” to see how each category contributed towards the revenue shortfall by region that you just noticed. Then you can seamlessly switch into ML-powered diagnostics to investigate anything unusual that you find with a single click.

 

 

Once you’ve shaped the data how you want it, using the pivot table from an exploration, you can easily turn that table into a data visualization to bring the story you’re trying to tell to life. Right in the exploration pane, you can choose an impactful chart format and customize the look and feel to match your branding guidelines. This way, you can either share a link to collaborate with a colleague or take a screenshot and add it to a slide deck.

After you’ve uncovered something important and are sharing and collaborating on the insight, it’s usually important to monitor the metric over time. Sisu Dashboards make that easy — you can pin any visualization or table to a dashboard and add text to explain any new trends that teammates may find surprising. By encouraging collaboration through dashboards, you can even refine your findings over time and improve your analysis. You and your stakeholders can then quickly hop into the relevant dashboard and see how your most important metrics are tracking. Most importantly, when you notice something new in one of your dashboards, you can simply click on a given graph and kick off a Sisu key driver analysis that leverages ML-powered diagnostics to explain the change in metric—no need to jump in and out of multiple distinct dashboards or tools to make an informed decision. Sisu’s intuitive Smart Waterfall Charts make it easy to digest and act on any of the ML-powered diagnostics.

 

 

Digging into data, visualization, sharing, and collaboration in Sisu has never been easier. Using Sisu Explorations and Dashboards, teams can iterate quickly and deliver better insights to the business. Combining explorations and dashboards with Sisu’s ML-driven key driver analysis provides a powerful new way to analyze cloud-scale data and make it accessible at a human scale to enable better, more comprehensive, more trustworthy business decision-making.

To learn more about explorations, dashboards, and all the latest Sisu features, please j