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Tell me more about

BIG DATA & BUSINESS INTELLIGENCE

Data now fuels smart enterprise. Cream unleashes the power of data technologies to help organizations build a clear vision and create a new data supply chain. We help to build trust in data and explore innovative ways to manage this data.

In practice ?

Big Data and Analytics

Data is the currency of the new economy. We help organizations to dig into the deluge of data to isolate insights that are actionable and create value for the business. We use the latest technologies and practices to help our clients build a future-proof data architecture.

Data Science

We apply state-of-the-art algorithms and machine learning in order to resolve complex business problems. Our modern approach allows our clients to move away from describing the world as it is, to predicting what will happen in the future.

Data Governance

We set processes and tools that enable organizations to make the most of their data across the company. We strive to involve all stakeholders, specifically both business and technical, to build a robust data governance model to ultimately offer access to consistent, accurate and appropriate data.

Business Intelligence

We help our clients get the most out of their business information and data by creating and shaping reporting and dashboarding. From the technicality of the creation of the ETL or the data warehouse to the analysis of the right tooling and reporting, we facilitate decision support throughout the company.

CREAMERS’ TESTIMONy

The Data Tribe’s mission is to bring a real Data community within Cream with the ultimate goal to promote Cream as a major Data player in the Brussels landscape.
Ambre, Data Tribe Lead.

Our strength lies in our constant curiosity for new technologies and new methodologies in order to use them to answer any client’s demands.
Alexandre Lam, Big Data/BI Consultant.

CLIENTS’ success story

Cream participated in the optimization of data management inside the Business Intelligence team, from team management to technical management of the full data lifecycle ((ETL, Datawarehousing, Reporting…)

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cream adventure ?

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