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Olbico x Manpower

Challenge

Organizing data manually takes a lot of time

Solution

Clean ánd enrich existing data

Result

Entering and growing new markets

  • Challenge
  • Solution
  • Result

On to a data-driven approach: the innovation of Manpower

As a global HR expert, Manpower collects insights into developments as well as its own position in the labor market at any time of the day.Growing digitization is an opportunity to perform even better. Bas de Meulemeester is a Market Intelligence Manager and was looking for a solution to integrate Altares Dun & Bradstreet’s own data and data into their system.

Challenge

Time for change

“With national coverage and almost a thousand clients in the Netherlands, Manpower has a lot of data,” says Bas. “The data is processed and collected on the basis of three pillars: candidate data, vacancy data and data about clients. However, the data was not always complete or it was in hard-to-reach places. A lot of time was wasted on manually arranging and processing the data afterward. ” Then it was time to intervene. “We decided it was time to make significant changes to the way we handled our data.”

Solution

Cleaning ánd enriching

The innovation started with cleaning up existing data about clients with data from Altares Dun & Bradstreet and supplementing it with international group structures and SBI codes. “For example, we were able to query variables down to the detail level for 1462,” says the Market Intelligence Manager, who used this information to update the vacancy data. Machine learning was used to scrape vacancies and combine them with candidate data and internal data – resulting in a complete picture of the Dutch vacancy offer. “In addition to being able to better map the performance per sector, it also became a lot easier for us to analyze our own market position and profitability. This way we now know even better who our customers are. And more importantly, who isn’t yet! ”

Automate and maintain data quality

The renewed Manpower system is connected in real-time to the Dun & Bradstreet database to ensure permanent data quality. De Meulemeester: “Thanks to the close cooperation with Altares Dun & Bradstreet, my colleagues in the workplace noticed as little as possible of the innovation. This gave us the opportunity to gradually introduce my colleagues at Manpower to our data-driven approach. It also reduced the complexity of the work and the required knowledge of the tool. ”

Much of what used to be done manually is now done automatically thanks to this collaboration. In addition to saving time, the reliability of the data has also increased enormously. When an employee of Manpower enters the Chamber of Commerce number of a company, the other information is automatically completed. With one push of a button, a complete company profile is entered into the system quickly and efficiently – without errors. “By limiting the number of (manual, ed.) actions as much as possible, we save time, increase the insight into accounts and ensure that our database (s) cleaned up by Dun & Bradstreet are protected against new pollution.”

Result

Entering and growing new markets

Thanks to the innovation, Manpower is setting up a strategy based on more relevant, accurate and complete data than before. As a result, the entire organization benefits from more intelligence and innovative insights within its own systems.

Various departments benefit from the data-driven approach. For example, it is immediately clear to account managers which parent organization hangs above a company and whether an earlier business has been done with this group, which leads to less time wasted and more efficiency. “Our new data-driven approach also leads to a more streamlined marketing policy,” says Evelyn Schwarte. , Director of Marketing & Communication for ManpowerGroup. “Marketing campaigns can be used much more targeted because they are based on relevant data.” De Meulemeester adds: “Everyone within Manpower now sees the same insights and speaks the same ‘data language’. We look forward to our next steps in translating data into business. ”

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