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 and analytics processes and support you as independent consultants with our own methods and highly developed technological expertise.
Huge amounts of data accumulate in nearly all areas. More and more companies want to do more than just collect this data and prepare it for reporting; they want to extract added value from it through advanced analytics. This includes the acquisition of helpful knowledge about market conditions, the promotion of cross/up-selling, or forecasting and decision-making based on this data. Our aim is to generate a competitive advantage for you from your collected data.
In modern data and analytics projects, the requirements for communication with the respective departments are precisely determined, the data platform is integrated and provided, and the data volumes are analysed and evaluated. In this way, we guarantee you detailed insights into the data and enable future forecasts.
The use of AI methods, such as machine learning or deep learning, is an important foundation for these kinds of forecasts. Get the most out of our services in this area, which are designed to meet specific needs as the integration of big data platforms and data science solutions continues to increase. Our wide range of data and analytics services covers a combination of business engineering and the provision of data platforms – structured as a data warehouse or semi-structured as a data lake – and the related area of ‘data science’.
We are familiar with the most common technologies on the market and provide our customers with end-to-end support in data and analytics. We develop your DnA strategy together with our business engineers, who are specialised in specific industries. In doing so, CPM supports corporate planning and simulation. Our consultants have the required expertise, from sales planning and balance sheet management to commodity allocation.
In terms of data management and big data engineering, we construct large, modern data platforms, such as data warehouse, data lake or hybrid scenarios, and operationalise them with or for our customers. If the data is available, we use specific methods from the field of data science and advanced analytics to perform an AI-based evaluation. Our experts identify suitable use cases, develop them in the DataLab and operationalise them on the appropriate data platform.
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.
Data-driven services are disruptive extensions of the existing business model and a logical consequence of digitalisation. They often emerge from big-data technologies and are the operationalised form of prototypical use cases. Our professional big data engineering services help you identify and design them.
Companies are facing major challenges and are subject to intense competitive pressure and highly competitive markets. New technologies, ever-shorter innovation cycles and high customer demands force them to identify and implement new trends as soon as they can. Corporate performance management is therefore an essential factor in maintaining a competitive edge and achieving corporate success. Corporate performance management ensures that your management receives the information it needs to make important and targeted decisions.
Business engineering combines business expertise and technology in data and analytics projects. Regardless of the applied technology and the industry context, data and analytics projects need business engineers to act as a bridge between specialist departments and IT for communication and organisation purposes.
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.
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 and 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 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 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 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.
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.