Data & Analytics

Today data is at the heart of every modern organization’s strategy to improve decision making, create a better customer experience and gain/develop its own competitive advantage.
To become a truly data-driven organization, where every decision is based on data, the first step is the definition of your own Data & Analytics strategy. This will enable you to ensure that you lay the right foundation for all further activities when it comes to decisions like: „How to identify relevant use cases? Which use cases to focus on first? How to efficiently implement our data initiatives?“
Therefore, we have developed an approach to support you by defining your own Data, Analytics, Data Science and AI strategy and planning your roadmap 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.

The volume and diversity of data processed on a daily basis has increased massively in recent years. If we want the right user to exploit the right and relevant data, we need it to be efficiently stored, governed and distributed.
To lay the technical foundation required for Analytics and Data Science activities and to make the right data available to the right user at the right time, you need to build your own Data Platform that is tailored to your needs. This infrastructure must meet your users’ operational needs and provide high-quality and understandable data.
We combine our data engineering expertise with the best-in-class tools and technologies on the market to:

1. Help you build your Data Warehouse or Data Lake according to your roadmap,
2. Operate either on-premise or in the Cloud depending of your (IT) strategy,
3. Gain agility with the easy provision of sandboxes and data to Analysts and Data Scientists.

Added-value: benefit from our experience and best practices to efficiently collect, store, govern and distribute your data inside your company to deliver value.

To make impactful decisions in today’s world, the experience of your teams is no longer sufficient. Data is the key to gain insights about the past and these insights turn out to be the cornerstone for your next decisions. Gaining a competitive advantage can only be achieved by combining experience and data analytics the right way.
By using 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 put our experience and our expertise on analytics practical approaches such as:

• self-service analytics, to empower your business users with analytics capabilities;
• modern business intelligence, to define your own business rules, better understand your business and take decisions.

Added-value: give your teams the ways and best practices to access, prepare, visualize and analyze data as it is the key pillar of your decision-making. Moreover, we go a step further by leading the way for cutting-edge concepts such as Citizen Data Science, providing business users with advanced analytics capabilities.

Nowadays to remain competitive, companies need to anticipate the future. There are plenty of complex predictive and prescriptive analytics techniques, that allow to identify new trends and patterns from data, to predict future developments, and to perform simulations and optimizations. The knowledge you gain enables you, for example, to generate a more profitable business by determining the right prices for your offers, by predicting your customers behaviour or to save costs by improving your processes efficiency. Using advanced analytics technologies will decide about whether you stay ahead of or lag behind your competition.
In the past, techniques for handling and analysing complex and voluminous data in business environments were only available for high-end research projects or for a technological elite. But today they are in close reach for you, to analyse your structured and unstructured data (e.g. from images, video, or audio files), to develop models using machine learning methods or artificial intelligence techniques, and to successfully operationalize these models for your business applications.
Based on the use cases and the roadmap we defined, our experts for data science and AI support you to:

• identify and choose the right machine learning and deep learning technologies and techniques (according to your use cases),
• take care of model development (with machine learning and deep learning techniques),
• operationalize these models using innovative approaches like MLOps.

Added-value: Empowering your teams to successfully operate the right advanced analytics technologies, defined according to your objectives (such as cost savings, increased sales or better customer understanding). In this way we ensure that you optimise/re-invent your business in the right way.