With 42 percent of Americans still working from home, we're using TVs for more than just Netflix. These viewing screens double up as dynamic digital dashboards, displaying powerful SaaS metrics that power your business. Whether you're working from home or the office, turning your TV into a SaaS KPI dashboard is simple. Five tools are all you need. This guide shows you how to bring business metrics to the small screen with your very own custom SaaS KPI dashboard.

In Part 1 we learned how to set up our Xplenty pipeline to work with Chartio and prepared the data source. In Part 2, we will focus on using the data Xplenty provides in the Chartio platform. If you're new to Chartio, you can read through their QuickStart docs (shouldn't take more than 5-10 minutes) to gain some familiarity.

Are you tired of slow dashboards? It’s a problem we hear end-users of BI tools complain about time and time again. Whether you’re an end-user or on the data team that the end-users blame, slow dashboards suck! With many BI tools now offering their own connectors and lightweight data transformation/preparation layers, slow dashboards are a common pain point across all organizations.

Creating a management dashboard isn’t optional anymore. Learn why having one for your executive team to view results and KPIs is essential for success.

Xplenty provides features to efficiently extract, transform, and store data from various sources. Chartio provides Visual SQL features that let us explore and analyze data. Furthermore, it includes functionality to arrange charts and metrics in dashboards that can be shared. Both these tools can be used synergically. In this post, we will cover how you to configured Xplenty to use Chartio data. In a subsequent post, we will explain how to visualize the data provided by Xplenty in Chartio.

Interested in making a dashboard but unsure where to start? Check out these dashboard best practices and tips for what separates the good from the bad.

Once, dashboards and reports were limited to being embedded into our apps as standalone modules - essentially, as separately accessed product features. This limitation sometimes meant analytics is forgotten by users, and more often than not, underutilized in its potential. Today, contextual analytics makes it possible to embed analytics directly into the core workflow of your software.

Bring life to your data visualizations and dashboards to create compelling, crowd-pleasing presentations that your managers will love.

We're living in a data-driven age. In every sector, we've seen new companies emerge, executing lightning-fast strategies based on sophisticated analytics. These data mavericks have disrupted and sometimes even devoured their more traditional rivals. To stay afloat, you need a state-of-the-art data infrastructure. That means having the right platforms, the right data pipelines, and the right analytics engines. But when you have all that data, what do you actually do with it?