Blog

Welcome to our blog section. We “blog” about everything on Data Visualization, Data Science, and Low-Code. You can find the subjects you are looking for by using the filter option below. Please contact us if you want to share your thoughts about our blogs.

Rockfeather-zebra bi webinar

Webinar: the best kept secret for better Power BI dashboards

On January 28th our webinar “The best-kept secret for better Power BI dashboards” took place. In this webinar, we showed you how to drastically improve your Power BI dashboards with the help of International Business Communication Standards (IBCS) and the Zebra BI plug-in. Click here to watch a recording of this free webinar.

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Row-level security in Power BI

Row-level security in Power BI

To ensure that data in Power BI reports do not fall into the wrong hands, it is possible to apply Row-Level Security (RLS) to any report within a workspace. RLS in Power BI ensures that for each recipient of the report a difference can be made in what data they can see. It is important that the setup is done accurately and that the members of a workspace are assigned the right role to prevent them from seeing too much information, for example. This RLS layout of the online workspaces in Power BI has changed in the last few months. In this blog, we explain what to pay attention to when setting up a new workspace and setting up the renewed RLS in Power BI.

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PBI vs tableau

Power BI vs Tableau: Filter out the Noise

Power BI and Tableau are both leading data visualization solutions. Comparing the two options can be a daunting task. There is a lot of marketing noise from parties that sell or work with just one of the two solutions. This will not help you. 

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Data science

Why data science isn't magic - an introduction to data science

You’ve probably already heard of data science, artificial intelligence and machine learning. But how do you avoid jumping on the data science bandwagon, like many other companies do? And where do you start? In this introduction to data science we will explain data science in easy-to-understand theories. Start learning today!

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Predicting housing prices

Predicting housing prices and sales using data science

In this blog, we are going to use data science as a method to predict housing prices and sales. If you make proper use of predictions, it can set the standard for profits and growth. We will explain regression models by presenting two examples: housing prices and expected sales.

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Decrease customer churn with data science

Using data science to decrease customer churn

Preventing customer churn is one of the top priorities of companies. You might wonder how data science and machine learning are related to this. In this blog we will tell you all about how to decrease customer churn using data science. Take the next step with data science, using our explanations of classification models and a useful churn case!

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Speed Up Exploratory Data Analytics - Leveraging R in Power BI

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!.

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An interview with author and managing partner of the IBCS Assocation Jürgen Faisst

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.

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4 Fundamentals of Sales Analytics Success with Tableau

In a sales organization, you build a competitive advantage by understanding the big picture. Sales KPIs, including sales performance, cost-to-revenue ratios, and quota attainment are only a few of the many metrics needed to create that big picture. With a powerful business intelligence and analytics platform, you can leverage all of this data and more—from siloed databases to spreadsheets to CRMs—and build actionable insights quickly and consistently.
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