Uggerhøj

Uggerhøj is in control of the automotive industry's high complexity and low marginal earnings with Power BI

The history of Uggerhøj

It started with an online flirt that ended in a perfect match.

Now Power BI will give Uggerhøj Biler better reporting so they can make faster and better

decisions in relation to the operation of the business.

25 systems must be assembled in a data warehouse

Help to make faster and better decisions

Saves time on information gathering and reporting

Got a much better overview of the business

Søren Thomsen, COO at Uggerhøj, asked his network on LinkedIn for advice on Power BI and help with implementing the product. Accobat and another consulting house courted the task, and it was Accobat that Søren fell for.

"It's about good chemistry when you have to start a project like that," says Søren. “Accobat possesses the knowledge that gives me security. We tested both consulting houses, and Accobat showed that they had control over data structure, and that is crucial for the success of a Business Intelligence project. There must be control of data warehousing and data discipline.

We could probably handle it ourselves a long way along the way, but it would not be well documented. At the same time, we would make too many mistakes, and it would be more expensive to correct than it would cost us to involve professionals from the start of the project. ”

The project gained momentum when the chairman of the board joined the executive board, and Uggerhøj started working with performance management reporting. Unfortunately, it was too cumbersome to extract data from their many source systems. It had to be automated. Up to 25 systems were to be assembled in a data warehouse.

Complex company structure

Uggerhøj has 9 shops with very different car brands. No two stores are alike. The company structure is complex - some stores are grouped in one company, while other stores are in own companies. This means that the store chain has several different ERP systems. In fact, they have many different IT systems - including the 25 of them that need to be assembled in a data warehouse.

"Now Accobat helps us to collect and structure the many mixed data from the many different systems, so we get a comprehensive overview," explains the COO from Frederikshavn.

Søren Thomsen and his colleagues had already defined which numbers they want to look at and from which systems the numbers are to be obtained from.

"What would trouble us was to access all the APIs needed. However, we do have an RPA robot that can retrieve the data that is difficult to access. We expect that the finished solution will help us make faster and better decisions in relation to the operation of the business. The individual branches will also be able to save time on information collection and reporting when there is only one overall point-of-contact instead of 25 systems, "says Søren Thomsen and concludes:" I love the overview. "