There is a common belief that data analysis tools can only be used by analysts or people with a particular background, but this is only half true. Autologica BI, for example, contemplates different roles within the dealership, taking into consideration their objectives, requirements, and training, to show each person the information they need.
All of the data that the dealership generates is just one click away… but if management does nothing with that information, you will be leaving money on the table. Why make that mistake?
These are this year’s most-read articles on dealership KPI. In this article: Stock aging, Vehicle registrations, and Aftermarket potential per unit sold, Profit margin, Lost sales, Conversion cycle and Conversion rate, and more…
With Autologica BI you can now share reports you’ve created with your co-workers, so that they can modify them, copy them to build their own reports, or simply analyze them.
Workshop indicators help the dealer detect the Service Department’s behaviors and trends, discover revenue opportunities, learn which activities are more profitable, and foresee the future of the business.
Are my technicians efficient and productive? Keeping a record of every operation in the Service Department is one of the cornerstones of successful dealerships.
A DMS not only helps simplify tasks for employees at the dealership, but also generates large amounts of information that can help management diagnose the status of the business and set accurate goals. Obtaining performance indicators is as important as knowing how to interpret them.
In order to make decisions in a dealership, it is essential to have complete, trustworthy and updated information on the status of each department. This is how the most successful companies function.
Having detailed information about the dealership is becoming more and more important each day. Big Data (i.e. the analysis of large amounts of information) reaches all industries including vehicle dealerships, and should be taken into account by dealers looking to maximize their benefit from the the enormous amounts of data they own.