This is why we stand behind our mission statement ‘Data is our DnA’, the driver of all our projects each and every day. The topic of data and analytics is of particular relevance to many companies. However, many of them lack the right strategy and required expertise to make the collected data usable.
We already assist our customers in both of these areas using our own methods and highly developed expertise in a wide range of technologies. We design efficient data & analytics processes and support you as independent consultants with our own methods and highly developed technological expertise.
Our business engineering combines expertise and technology in your data & analytics projects. Regardless of the technology used and the industry context, our business engineers are characterised by their special ability to build communicative and organisational bridges between specialist areas and IT.
The integration, preparation and provision of heterogeneous data is the focus of our Analytics Platform Framework. We support you in specifying and building a suitable analytics architecture, as well as in smoothly integrating existing data warehouse and data lake systems into your strategic platform. In doing so, we consider technological, process-related and organisational aspects in order to create a platform together with you that suits you and your corporate and IT strategy.
Successful data management is essential for data-driven business models and artificial intelligence (AI). You can only exploit your competitive advantage if the corresponding data is available, the data quality is suitable and manual work is kept to a minimum. With our comprehensive data management services, we support you throughout the entire project lifecycle to keep you on track right from the start.
Companies are facing major challenges and are subject to intense competitive pressure and highly competitive markets. Corporate performance management ensures that your management receives the information it needs to make important and targeted decisions.
As costs and competitive pressure continue to grow, it is important to be quick, proactive and accurate when making decisions within the company. Business intelligence is the foundation of useful data. When combined with predictive analytics, data science allows you to gain detailed insights into your data and make forecasts for the future.
We focus on our customers’ data and design solutions through cross-technology consulting. In doing so, we take into account the most important manufacturers in the data & analytics environment. These include SAS, SAP, Microsoft, talend and cloudera, as well as the multitude of open source solutions in the field of data science.
Take advantage of our strategic partnerships and years of technological experience.
Our BI analysts systematically collect, visualize and evaluate your data to generate business-relevant insights. They are also responsible for the design, development, monitoring and control of your BI systems and design your individual IT solutions.
Our Business Engineers analyse your business and IT processes. They carry out requirements engineering and stakeholder management in a wide variety of projects and act as an interface between business and IT. In addition, our consultants are responsible for project management in agile and classic project environments as well as for conducting workshops at the customer's site.
Our data engineers supervise all processes related to the generation, storage, maintenance, preparation, enrichment and transfer of data. In doing so, they advise and support them significantly in setting up and monitoring the hardware and software infrastructure.
Our Big Data Engineers evaluate and advise you on modern data platform architectures. In addition, they are responsible for the design and conception of complex ingest, process and access processes for data-driven products. Our Big Data Engineers also significantly influence the design and definition of Big Data platforms and data lakes.
Our data scientists analyze data according to trends and patterns and support you in optimizing your business processes. Using modern machine learning and deep learning methods, they answer a wide range of questions from the specialist departments and derive recommendations for action. Close cooperation and consultation with other departments is essential.