Following the announcement back in December 2020, where Microsoft announced that Azure Synapse Analytics has now reached General Availability, this article will discuss the functionalities in the new analytics service in Azure.

Do you recognise this? The network drive, SharePoint folder, your own desk. Regardless of the media, something happens when you use it. There is a good term for this – a mess. And much like the mess in the drawers of a teenager’s room and in the glove compartment of the car, there is a solution: Get...

Annual closing is primarily characterized by getting things organized, recording everything, and getting control of the many reconciliations and documentation for the audit. Data must be prepared and shared, and here you can advantageously use your data platform to optimize the process.

Leadership sponsorship, early and ongoing involvement of business users, and a good deployment plan are the key to realizing value from your investment in data projects.

The finance department is undergoing a continuous digital transformation, where several tasks are being automated. This often happens with the use of new cloud technologies within ERP and BI. This development means that the traditional role of the controller as an Excel expert, solving a range of pa...

Have you invested in a Business Intelligence (BI) financial solution for your reporting, but found that the solution is not working optimally in your everyday work? Or are you on your way to starting your BI journey, but don't quite understand the technology behind it and the language that IT speaks...

Consolidation of financial statements is complex and can be time-consuming with many manual processes - but with the right tools, manual processes can be streamlined or even automated.

We have gathered the most important factors that you need to be aware of to obtain an agile and forward-thinking Cloud Data Warehouse for your business.

A picture tells more than a thousand words. At least for humans. But how much does it tell a computer? Until relatively recently not so much. Instead of seeing cute cat pictures and cute puppies, computer programs saw ones and zeros. But that time is over.

Many analysts and controllers desire great freedom to experiment with data, but how do we generally avoid the usage of data becoming too manual, thus not using company resources in a good way?