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Randstad Group Belgium becomes data-driven with Google Cloud Analytics and data warehouse

Google Cloud

The snapshot


Randstad Group Belgium was able to get full control over the data input to Google Cloud


Where the data input was more chaotic and non-standardized before, the Group now has a standardized way for data input in Google Cloud


Other concrete business cases start delivering results now, like for example a market operation report and other reports that are linked to the data platform

The challenge

In Belgium, Randstad Group Belgium has more than 2,300 employees, spread over almost 300 offices and in-house locations with customers. As the world’s largest HR service provider, ever since its inception in 1960, the values of ‘knowing, serving and trusting’ have been the thread running through Randstad’s operations.

One of the main drivers to look to Google Cloud for Randstad Group Belgium was the fact that they wanted to move from information to actionable data. A second driver was that they were looking for a solution that would offer an easy-to-use, comprehensive way of doing data analytics. Essentially, the Group wanted to move from pure reporting to more comprehensive business intelligence.

The solution

In search of the best solution that would modernize Randstad Group Belgium’s data analytics strategy, together with partner Devoteam G Cloud, the Group identified Google Cloud as having all capabilities to solve the initial challenges and enable the desired goals. To answer all the business needs, a Cloud-native data architecture was created.

This architecture consists of several components like a data lake, staging area, a data warehouse, data mart, and then a serving layer in a self-service environment that makes the data visual for employees. A newly created data framework makes it possible to automate a large number of processes.

The better change

Using data to get more automated decision making

With Google Cloud products that are used to create the framework amongst others: Cloud Storage, BigQuery and Pub/Sub

Using intelligent reporting such as predictive analytics

What’s very important for me in our current Google stack is that we maximize our efforts to get the most out of what is available in the Cloud. That we can build up this platform very flexibly and that we can react very quickly when new things become available in Google Cloud. It’s essential to me that we’re not stuck with one technology, but that we create a lot of flexibility so we can always keep up with the Cloud – which is evolving very fast. With the setup that we have created now, we can perfectly do this: we can quickly reiterate if we have to.