The session is presented by Jen Stirrup. Someone who’s been in the data visualization space for a long time, and written a few books on Tableau, also work with a lot of other technologies, including Microsoft Azure. And we’re here today to talk Power BI and The Theory of Data & Patterns and also why we are we are in the world of data at the moment.
We are designed as humans look for patterns and we tend to look at data to try and find patterns. And it is all processed in a way that we react to data. when we look at some of the coverts data, what we do see is people’s reactions to data coming out, they sometimes ask questions of it.
So here just to step back a little bit as we start to think about the types of analysis that people are looking for. When we build our Power BI dashboards, we need to try and understand the business question and what people are actually doing and what they’re asking is for.
Often you can hear customers saying things like, I want a CSV file or want a dump of the data, what but that usually means is that they don’t always know what they’re looking for. But they don’t want to miss anything. So what we’re trying to do is give them a good structure where they can click in tech and get the data that they need and get the answers to what they’re looking for, but without necessarily having to go in and play around with the data themselves.
when people are wondering what the business question is, what we try to work out is a business puzzle or a business mystery. Something likes for example tell me the sales for a particular product for the last year. So that’s a puzzle which is a very specific question and a very specific answer. And that answer will be correct. anytime they wherever technology you throw it at.
The other item that they may be looking for is a business mystery. But we can’t really understand the question. And they don’t really know what they want. And they wouldn’t know the answer. Definitely every time they ask the same question.
So how can we tame the chaos and our data? We have to understand that change is part of data storytelling, and we have to try and at least understand to predict and control our variables, feedback is important as well. And it’s a huge impact in chaos, we have to try and anticipate changes before they occur, and data visualization is an important part of that process.
And that’s why one reason why Power BI exists, it can help us to understand the keywords that we see in our environments and help to visualize it to help us find those peak patterns. They can help us to predict and control our data. And here in the session, there will be few examples, Where Jen Stirrup will try and predict the impacts before they occur.