Systems | Development | Analytics | API | Testing

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?

For decades, the analytics/BI community has suffered from low user adoption (~30%). Dashboards and fancy visualizations have only proven to be the starting point of the analytics journey, not the endpoint. We are living in a world that demands far greater agility than a fixed layer of information or KPI can provide. Poor user adoption is the result when the analytics system fails to support the users full journey: from data – to insight – to action.

In 2020, however, contining to rely just on dashboards for your BI needs isn't enough. Why? Data is growing exponentially - in both size and complexity - within every business today. Manually keeping track of performance and searching for insights has become difficult for many users, and it's fostered new expectations - to be able to do more with analytics - including making it faster and easier to keep on top of changes or opportunities.

For our Head of Product Design and Creative Director, Tony Prysten, design is always top of mind. In analytics platforms, good design plays an important role in how people understand and use data. Here Tony shares how Yellowfin has been created with designers and developers in mind.

Have you ever felt that, by looking at just numbers, that you are probably missing out on the bigger picture? That’s, of course, why we have visualizations – to form patterns out of those numbers that we can then interpret, as well as glean insights from and deepen our understanding of what the data reveals. Now, what if we bring numbers and visualizations together in a table, one way to explore those numbers and find hidden gems of meaning? Let’s have a look at mini charts!

Consider building these dashboards that help answer essential business questions.

It’s time to get back to my favorite topic in visualization – how to best use color. I’ve written about it before in two of my previous posts, which you can read by clicking here and here. But, for this post, I’m going to go into a bit more detail on some tips and tricks that you can use.

Data visualisations allow users to organise and present log data in a practical, usable, and sensible manner. This tool in log management ensures that the data collected communicates real-time, actionable insights that will support timely and informed decision-making. Knowing which types of visualisation best suits a particular data set is critical in giving data visualisation optimal business value. Here is how to pick the right type of log data visualisation. Pie charts