This year’s Magic Quadrant for Data Science and Machine Learning Platforms scored six Data Science and Machine Learning (DSML) Platforms as leaders. The amount of leaders has remained the same, compared to last year’s number of leaders. But has the composition of the leading area changed?
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Did you know that you can use the R programming language inside Power BI? By doing so, you can significantly enhance the exploratory capabilities for your data-loving audience. In this blog, we will explain how you can implement R into Power BI yourself!.
Recently we had the privilege to attend a workshop by Jürgen Faisst, managing partner of the IBCS Association and co-author of the book SOLID | OUTLINED | HATCHED. After the inspiring workshop, we had the chance to ask him a couple of questions regarding the International Business Communication Standards and his outlook on its future.
Do you want to know how predictive models can help your company make better decisions? Then watch for our webinar “Predict churn with Artificial Intelligence”. Lots of companies are focusing on getting new customers instead of keeping their existing customer base. Due to these strategies, a lot of customers are hopping from company to company.
Are you looking for a Data Science and Machine Learning solution? Then Gartner’s Magic Quadrant for data science and machine learning platforms is a valuable resource. A lot of people only look at the famous 2-by-2-matrix, but there is much more than just this matrix. That’s why we dug into the dirty details of the full report and put all this into a 20-minute webinar. In this webinar, we will show you all the vendors that are scored as a leader in Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning Platforms.
There is one thing that’s just as important as finding new clients: keeping your current clients. This blog will give you some practical tips to increase your loyal customer group!
In my eight years as a consultant, I’ve probably seen more dashboards than I can count. Still, most of them don’t have the impact they should have. Nine out of ten times, people start looking at the data. Is there something wrong with the underlying data-sets? Or is the visual not clear enough? Looking at those elements isn’t bad, but in my opinion, you’re looking in the wrong direction.
The Gartner Magic Quadrant for Business Intelligence is a piece of analyst reporting we look forward to every year. Both the dept and the scope of this research makes it worth the read. But not many people take the time to really dig into the details of the report.
Keeping your skills up to date is crucial when you work with the newest technology. At Rockfeather, we challenge each other to be the best version of yourself. That’s why I attended the mastering DAX course. DAX (Data Analysis Expressions) is a formula expression language. Next to Power BI, DAX is applied in Excel Power Pivot and tabular models in SQL Server. Learn it once, use it tomorrow.