Data & Analytics

Today data is at the heart of every contemporary organization’s strategy to improve decision making, create a better customer experience and gain competitive advantage.
The first step in becoming a truly data-driven organization, where every decision is based on data, is to define your data & analytics strategy. This is crucial to ensure that you lay the right foundations for all future activities and has an effect on central decisions regarding the appropriate way to identify relevant use cases and prioritize them, as well as the most efficient way to implement data initiatives.
Keeping all this in mind, we have developed an approach that supports you in the definition of your data, analytics, data science and AI strategies. We will work with you to develop a clear vision to unlock your data potential.

Added value: implementable strategy for a clear vision and tailor-made roadmap containing the steps required to operationalize your strategy.

In recent years, the volume and diversity of data being processed on a daily basis has massively increased. In order to make sure that the right users are able to exploit the right data, it needs to be efficiently stored, governed and distributed.
A data platform tailored to your needs is the technical foundation for your analytics and data science activities, making it possible to give the right data to the right users at the right times. This infrastructure must meet your users’ operational needs and provide high-quality and understandable data.
We combine our data engineering expertise with best-in-class tools and technologies to build your data warehouse or data lake according to your roadmap, facilitate operations either on premise or in the cloud depending on your (IT) strategy, and increase agility through the easy provision of sandboxes and data to analysts and data scientists.

Added-value: We use our experience and best practices to help you efficiently collect, store, govern and distribute data within your company and create value.

To make impactful decisions in today’s world, the experience of your teams is no longer sufficient. Data is the key to understanding the past which leads to insights that will guide your future decisions. A competitive advantage can only be achieved with the right combination of experience and data analytics.

With analytics, business users are no longer limited to preconfigured, static reports. They are now able to discover, understand and analyze data flexibly in each business context. In addition, data storytelling capabilities make results understandable for everyone. Your decision makers can identify insights at a glance and instantly take actions.

We leverage our experience and knowledge in practical analytics to offer self-service analytics that empower your business users with analytics capabilities and modern business intelligence for defining your own business rules, better understanding your business and making better decisions.

Added-value: Make data the pillar of your decision making processes by equipping your teams with methods and best practices for accessing, preparing, visualizing and analyzing data. We go even further, leading the way into the future of advanced data analytics for business users by implementing cutting-edge concepts such as citizen data science.

To remain competitive, companies need to anticipate the future. There are plenty of complex predictive and prescriptive analytics techniques for identifying new trends and patterns from data, predicting future developments, and performing simulations and optimizations. The knowledge you gain from this enables you, for example, to generate a more profitable business by determining the right prices for your offers, predicting your customers behavior, and saving costs through improved processes efficiency. The use of advanced analytics technologies will decide whether you stay ahead or lag behind your competition.

In the past, techniques for handling and analysing complex and voluminous data in business environments were only available to high-end research projects and technological elites. Today, however, these techniques are in your reach and can help you to analyze structured and unstructured data (e.g. from images, video, or audio files), to develop models using machine learning methods and artificial intelligence techniques, and to successfully operationalize these models for your business applications.
Based on the use cases and the roadmap we define, our experts for data science and AI offer support in the following areas:

• identifying and choosing the right machine learning and deep learning technologies and techniques (according to your use cases)
• taking care of model development (with machine learning and deep learning techniques)
• operationalizing these models using innovative approaches like MLOps

Added-value: We empower your teams with the right advanced analytics technologies, defined according to your objectives (such as cost savings, increased sales and better customer understanding). In this way we ensure that your business is optimized for the future.