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Scale-ups, businesses in full development with ambitious entrepreneurs aiming for significant growth. It is an enormous source of inspiration. But what does such a scale-up look like and who are the entrepreneurs behind it? What role does digitization play in their strategy, and what lessons have they learned? We were curious and went to investigate. In the near future, we will put a number of these scale-ups and the ambitious people behind them in the spotlight. The kick-off of this inspiring series was given by ambitious entrepreneur Yvo Keijlewer, owner of Natural Spices.

For years people have been saying that the worlds of Finance and IT are moving closer together. What does this mean for your company? What opportunities are there in terms of integration and visualization? How can you make it easy for yourself in a (seemingly) complex application landscape? In this video we look at how you, as a Power BI Professional, can achieve a seamless integration of CCH Tagetik data in a quick and easy way.

As the worlds of Finance and IT are moving closer and closer, companies are looking to harvest the vast amounts of data within their domain and use it for their benefit. Our customers are looking to insert a data driven mindset within their company. On one hand that is achieved through a broader consumption of data within the company, but also to combine several data sources in one reporting platform.

There is one thing that’s just as important as finding new clients: keeping your current clients. This one-pager will give you some practical tips to increase your loyal customer group by making use of the science of data!

Data Science, Artificial Intelligence, and Machine Learning are becoming buzzwords more and more. The terms appear to be valuable according to the trendwatchers, but most often people do not even know what the terms mean, let alone that they use them.

We at Rockfeather help people and organizations to understand and retrieve value from the buzzwords.

In collaboration with Finext and The Hague University of Applied Sciences, Rockfeather conducted a survey among our customers and other data enthusiast. The survey consists of twenty questions that investigate the data maturity, the presence of a data-mindset and how they reach and plan to reach their data ambitions and goals.

What is the optimal set of processes to allocate our resources? What process and steps do we have? These questions seem like questions that every company should answer easily. Unfortunately, a lot of companies are not able to do so. Their processes are just too complex because of changing price constraints, or other variables. There is a solution: Process optimization.

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?

For years, Gartner’s Magic Quadrant for Analytics and Business Intelligence has been the leading report in the world of data visualization. However, many people only look at the 2×2 matrix without going into the details of the report.