Is your date warehouse still up to par with the increasing demands? In this article Alexander introduces a reference architecture that will allow you to specify a modern, flexible, cloud-based data architecture.
How do you familiarise the people in your organisation with the enormous amount of available data? For years, this has been a pressing problem. Michael van Adrichem explains how Denodo’s data virtualisation platform offers a perfect solution with its dynamic data catalogue.
Why is business knowledge essential for data science? Also, what exactly does all of it mean? Cor Bonda explains.
Integrate big data sources and BI solutions with a data virtualisation platform? Michael van Adrichem explains how to do this and at the same time make optimal use of your big data systems.
Wouter Tetteroo explains how to implement a logical data warehouse's 'Publish' layer.
Are users ignoring your dashboard? Discover, in five steps, how to ensure that your dashboard is visually more attractive and that it gets used.
Want to know how your finance department can develop into a fully-fledged office of finance? Read our blog about the Smart Finance Maturity Model.
Translate the idea of data-driven performance, into specific activities, in one afternoon? Mira Mourits explains how you go about that.
According to Gartner, user acceptance (user adoption) for BI solutions lingers at 32%. This has got to improve! Elbert Spijker explains what you can do to improve user acceptance structurally.
Is there still a future for the controller, considering all the technological developments that are on the way? Most definitely! In this blog, you'll read about the controller's role in 2030.
Wouter Tetteroo explains how to implement the ‘Connect’ and ‘Combine’ layer of a logical data warehouse on Microsoft Azure.
Implement BI solutions faster and cheaper? In this article, Wouter Tetteroo explains how a logical data warehouse on Microsoft Azure can help!
Are your IT systems ready for the General Data Protection Regulation (GDPR)? Find out how data virtualisation helps you protect the privacy of your customers!
Prototyping is very normal in the development of apps. Gwyneth Ouwehand explains why you should use it in the development of dashboards as well.
Using external data for data science offers many opportunities but is more complex than you think. Nick Scheer explains what you should pay attention to in advance.
In this article jack Esselink of IBM explains which techniques you can use to let data tell a story by itself.
There is more needed than just replacing your ETL tool with a data virtualisation platform to fulfill the promise of the LDW.
How to implement and integrate the classic use of data with the need for self-service analytics, without detracting from either?
What would it mean for the effectiveness of your work if you could combine the facts and emotions into one convincing and inspiring story?
In this blog article, Jonathan Wisgerhof explains how to translate the functional architecture of a logical data warehouse into a technical device.
What would it mean to your organisation if you could implement data science in a much more structured and successful way?
Mattijs Voet explains how you can build a business case in four steps for the investment of a data virtualisation platform.
Do you want to get started strategically with data management? Erik Leene describes five conditions for putting data into the heart of your organization.
Professional data science is a course with clear rules. Cor Bonda explains why not everyone can become a data scientist.
Self-service is available in many kinds and flavors. Gwyneth explains what the three main flavours are and why it is important to think about it.
Budgeting is often a time consuming and frustrating process. Everybody in the organization has the feeling that it can be different, but how?
To successfully implement a LDW, the uncoupling between data sources and information products must be structured and logical.
When you put data in a dashboard it does not automatically mean that you add value in your organisation! Please read the roadmap of Gwyneth Ouwehand.
Do not dwell on your annual budget! Proper and frequent financial forecast helps your organisation to respond to current events.
Create order and reliability in the chaos of data flows within and outside your organization with a datavirtualisation platform.
How do you avoid fines associated with the General Data Protection Regulation (GDPR) that will enter into force on 25 May
Do you want to make a success of self service analytics? Then you need more than accessible tools. Read here what you have to take into account.
New privacy legislation! Have you taken all necessary measures? Erik Leene and Jean Paul van Schoonhoven explain everything that is coming your way.
What type of people are data scientists? What competences must they have? Does your organisation really and truly need a data scientist?
Isn't it time to approach business intelligence from the world of the user? It is not about data, it's all about wisdom!
The logical data warehouse is the data architecture of the future. Fast, flexible and ideal to support self-service BI. Information is the fuel of the 21st
Seven advantages of software for budgeting and forecasting like TM1, with controllable data as a result.
How to make deadlines and interpret legislation properly, and to turn data, calculations and reports into one effective entirety.
Use of self-service BI software doesn't have to turn into chaos. Tools like Tableau offer all the possiblities for a controlled implementation.
Big data, why less is more. In all respects. It is wiser, it is less expensive, it is safer and it is also more valuable!
Do you take your data to the BI software, or is it the other way around? Five useful tips to take into consideration before choosing a Cloud BI solution.
Real world examples prove data virtualization not only gives you a flexible way of integrating your data, but also offers great analytics performance.
Smart Skating gives Kadenza a look behind the scenes of the skating sport. Every business can learn from it in terms of winning and losing with data.
Richard compares 4 visualisation tools – Microsoft Power BI, QlikView, QlikSense and Tableau – to determine which tool is best for you.
How to develop your own visualisations in Microsoft Power BI, combining the advantages of custom visualizations with the advantages of Power BI.
Become a 'BIFIT', a specialist on the edge of business intelligence, finance and IT? It makes your work more interesting, and the market for BIFITs is hot.
Combine data form Google Analytics with other data sources, and find hidden patterns and trends using beautiful visualisations.
Erik advocates for organisations to steer in relative terms, with information that incites action. From 'measurement = knowledge' to 'measurement = action'.
Tools make the difference between an unwieldy organisation with grouchy employees, or reports at the press of a button and employees who deliver added value
Don't throw your current data warehouse overboard, but combine it with the flexibility of new techniques within a data virtualisation platform.