Data Foundations

AI, personalisation, strategic decisions, data products and a data-driven business: do you know what these have in common? They all rely on data. Every analytics journey starts with laying strong Data Foundations.

Once done, it provides a backbone that affects everyone in your business. It enables Data Analysts to quickly discover insights in data, allows Data Scientists to build predictive models and lets Data Engineers focus on enriching data. Good Data Foundations enable everyone in the company to make data-driven decisions and positively impact every decision step.

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Our Data Foundations Lead, Nicolas, talks about data platforms for self-service BI & industrialisation of Data Science and Machine Learning.

Your modern data platform

Taking the time to plan and build your Data Foundations is an investment and a multiplier of the success for your business. We are here to support you from start to finish. So, how do we start? It all begins with building a modern data platform, which consists of mapping every possible data source and putting it into a suitable storage.

Once the right data is in the right place, we need a workspace where the data can be accessed and analysed. The final missing component is tools that deliver the insights to the right audience – whether it is financial reports for the CFO or the number of new customers for the marketing squad.

A performant data platform enables your organization to make the most out of your data. Modern data platforms are flexible and will only provide the amounts of storage and computation power you need. Data is at the ready for the ones who need it, allowing for more efficient dashboarding, real-time analytics, data science use-cases, deployment of machine learning models, etc.

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In a modern organization, data is not simply flowing from A to B anymore. To extract maximal value from your data, large and small volumes of data are constantly transformed and moved among different applications.

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MLOps, short for Machine Learning Operations, involves a set of important processes and automation techniques designed to manage every step of the machine learning process.

These practices help make sure that the work can be repeated, is easy to grow when needed, and is dependable. In the constantly changing field of AI, using MLOps isn’t just a choice anymore – it’s a smart way to handle the challenges of modern data work and keep moving forward with new and reliable ideas. Our MLOps offering is here for you to get started.

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Data, and data science in general, is rapidly becoming an important aspect in any organisation. And just like you want a clean, organised kitchen to work in, it is essential to prevent a sprawl of machine learning models, datasets and scripts in your environment.

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Scalable and maintainable

There is an abundance of tools that help us build Data Foundations. Cloud providers such as AWS, Azure or GCP, with a complete offering from storage to automation tools, frameworks for data pipelines, job orchestration, data quality controls or data visualisation. But it doesn’t end here!

We must ensure that the architecture is robust, scalable and maintainable as well, and that it complies with best practices in security and disaster recovery. That’s why we are here to work together, guide you through the jungle and choose the solutions that fit your needs.

Transparant procedures

The last missing part of strong Data Foundations are processes and procedures. Transparent work management and the right collaboration tools speed up your development process and reduce ambiguity. Automation tools take away tedious manual work. Versioning and monitoring make product development and tracking experiments infinitely easier. Finally, the continuous integration and deployment of your ideas will result in immediate feedback from your customers.

Are you ready to start your analytics journey or take it to the next level? Let’s talk!

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Our offering

Data Foundations

AI, personalisation, strategic decisions, data products and a data-driven business: do you know what these have in common? They all rely on data. Every analytics journey starts with laying strong Data Foundations.

Data Strategy

We strongly believe that every business and organisation needs a data strategy. Data has become one of the most important business assets for companies. It is important to approach this asset strategically, in order to figure out what data is needed and how this data can be used to improve your business performance.

Data Science

We predict future behaviour of humans and machines. We segment clients and employees. We forecast product demand, build recommendation engines and we analyse your processes. And we always seek truth and beauty in solving business challenges in a data-driven way.

Business Intelligence

In the current changing business environment, directors and managers are constantly under pressure to make fast and accurate decisions. Faster decision making and identification of patterns or new business opportunities has not only become a competitive advantage but also a need for reaching your company’s strategic goals.

Data helps create value by enabling better decision making. Our work revolves around making data work in a business context. We help our customers leverage data by developing strategies, implementing modern data infrastructures, developing algorithms, and building dashboards.
We strongly believe that data-driven organizations are capable of better decision making, enabling further growth, and increasing business value.

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Eager to know more?

Then definitely get in touch with Wouter. He will be happy to schedule a first (virtual) meeting to discuss all your possibilities. Let’s get started!

Wouter Buckinx

Director .Data