This article is designed to go with my recent Data Stories Gallery submission, 3 Year Analysis of Gartner Magic Quadrant Leaders for Analytics and Business Intelligence. It's a rather lengthy title I know! Luckily however, the analysis was rather quick and easy. But, I thought that a few more insights could be shared around this than simply what appears in the Data Story Gallery posting or within the Power BI report.
DeNisha Malone’s talk at the Seattle Power BI World Tour was entitled “Telling a Story with Data”: A fitting subject for her, near to her heart. She could even tell the story of her own life with data.
For many of us who work in data analytics for long time, you may notice that producing great data reports and dashboards alone doesn’t always generate desired outcomes. Why? Because data reports and dashboards are usually exploratory by nature and self-service oriented. In addition, they usually don’t have rich text to explain why certain charts and data points are meaningful in what context, not mentioning the usual lack of graphical elements that make data fun and interesting to read.
Power BI Report Server Preview was made available early May 2017 and this blog walks you through the installation, configuration and ends with a demo. The demo video shows how a report can built and added to the Power BI Report Server.
You may think that Sentiment Analysis is the domain of data scientists and machine learning experts, and that its incorporation to your reporting solutions is the domain of advanced developers and expansive IT projects. Well, today this is going to change.
Today I will show you how to gain Sentiment Analysis insights without the help of machine learning gurus or software ninjas. All you need to do is open your Power Bi Desktop and follow the steps below.
Oh, and to make it fun, let's pretend we are the social media analysts of the US Presidential Candidates, and analyze the sentiment of their Facebook posts. When we are done, we will be able to tell who is more positive on Facebook, Trump or Clinton, and if we see a trend of positivity or negativity over time.
On previous blog posts, I have showed you how to create monitoring dashboards for both Google Analytics and Adwords.
I use those dashboards myself even though I am not a big fan of monitoring dashboards. Here is why:
Are monitoring dashboards useful? Yes, they surely are, specially in picking up variances and allowing you to react and learn from changes.
Are they needed? I would like to answer NO to that one.
One of the greatest features that Google analytics have, is Intelligence alerts where you get an email when variances occur (set up by google and yourself) and therefore you eliminate the need for those awful monitoring dashboards.
Past releases in power bi have seen new enterprise related capabilities coming out which lets you manage power bi usage within your organisation. Few such feature that came out with Power BI desktop April update is query parameters and template files. In this blog post we will look at how to utilise those two features within power bi desktop to meet specific organisation needs.
Ever wonder why some questions get answered so quickly while others languish or are seemingly completely ignored? Fear not, this article will help guide you into getting your question answered quickly by the Power BI Community.