
“Data driven organisations require high-performance data platforms built for automation, self-service and agility. Teaming up with your people to develop such systems is our passion.“

Data Management
With Data Management we create value by transforming the maze of data into well-structured information. That empowers organisations to generate new knowledge and take well-informed decisions in pursuit of their strategic objectives.
We see Data Management as solution to a decisive but ever more difficult task: Collecting and organising increasingly complex data to build a powerful informational basis for your business. Relying on our extensive expertise, we jointly build organizational, architectural and technological capabilities to generate the insights hidden in data.

“Data driven organisations require high-performance data platforms built for automation, self-service and agility. Teaming up with your people to develop such systems is our passion.“
Our experience allows us to combine a business perspective with technological and organisational considerations to raise the probability of success in Data Management. We apply that knowhow in the context of a range of industries and services. Here are four examples:
We created a single source of information for multiple audiences in form of a data warehouse for an asset management company. By automating complex processes in fund controlling and reporting, it boosted our client’s business insight, customer service and regulatory compliance.
Success Story: Asset Management ›Together with a global reinsurer we developed a cloud-based big data platform for new analytics offerings. That required our data engineers and our client’s data scientists to devise automated data pipelines for timely integration of huge amounts of information.
Success Story: Insurance ›To enable Germany’s largest building society to make better sense of its data, we strove to augment its organisational structure. We jointly set up committees to coordinate company-wide data governance that improved quality, transparency and efficiency of its data processing.
Aiming to empower our client’s fleet management of railroad cars, we designed a data architecture with consistent modeling of data and data flows. On that foundation, we jointly built a data analytics landscape that is agile and robust, raising our client’s competitive advantage.
Success Story: Mobility ›Our clients look for different kinds and scales of support in putting an effective data management strategy in place. Some want to jointly challenge their data architecture; others require a sparring partner in building their data governance; others again, may aim to find a synthesis between a data warehouse and data lake in establishing a production-ready ecosystem. To meet such demands, we provide three offerings of different sizes:
We jointly explore and benchmark your data management strategy.
Time-frame
> 5 dys
Together we lay the path to your future data technology stack.
Time-frame
> 6 wks
We turn your data strategy into a production-ready ecosystem.
Time-frame
> 3 mths
To empower your Data Management, we rely on a set of methodologies and technologies:
Data Management
Data Architecture
Data Warehouse
Data Modelling
Data Quality
Data Integration
Data Governance
We love exchanging ideas with you, so do feel free to reach out!