Enterprise analytical systems
Rapid technological development means that many things today can be digitised: interactions with customers, movements of goods, the status of technical processes and much more. But new, data-based business models are not ready-made – they are as distinctive as your company itself.
How can data analysis be profitably embedded in business processes? How do we get there? Which algorithms do we need? How do we design systems? How do we comply with data protection rules? There are numerous individual questions that cannot be resolved with standardised answers. Our experts at HMS will advise you comprehensively and accompany you from the first to the last step.
- Individual workshops as a kick-off for digitisation projects
- Evaluation of digital business models using rapid prototyping in the cloud
- Consulting, development and operation – from specialised computing kernels to enterprise-wide data analysis platforms
- Migration to the (hybrid) cloud
- Standardised solution approaches according to best practice examples
- Remote patient monitoring
- Data trust model for the cloud
- Implementation through the latest methods of software engineering
- Project management using classic and agile process models
- Platforms: Azure Cloud, Hybrid, On Premises Microsoft Technologies (SQL Server, SharePoint)
- Databases: relational, document-oriented, graph-oriented, NoSQL, etc.
- Big Data stores: e.g. DataLakes, Hadoop
- BI technologies: e.g. DWHs, data integration, semantic modelling, reporting
- Object-oriented programming, scripting languages, programming in statistical environments
- App and web development
- Application lifecycle management and DevOps
- Software craftsmanship and clean code
You can find further details under Expertise Software Engineering.
“Every company has a unique data landscape. We open up ways to profitably exploit it.” Johannes Schluchter, Head of Enterprise Analytical Systems at HMS
HMS has provided financial analysts with an end-to-end solution that enables standard reports and ad hoc queries to be easily produced and delivered in high quality.
Project background: Regulatory authorities for financial service providers – as well as research institutes – are endeavouring to generate more detailed information from basic economic data. This information must be suitable for identifying meaningful trends.
During the development of the solution, the analytical methods were just one link in the chain. The HMS experts first had to consolidate the decentralised available data and prepare the results in a user-friendly way. To enable them to use economic data from a variety of sources, they developed suitable connectors that not only access the data but also convert it into a uniform format. A seamless interface now ensures that analysts can conveniently use the available methods, such as complex time series analyses. The key feature is that the analysis results can be directly issued as publishable reports and documented in tabular, graphical or textual form.
HMS has already developed analytical platforms for a number of life science companies. These platforms are characterised by central authorisation and storage concepts as well as a user-friendly interface. Authorised users can access algorithms and results at the touch of a button. The history of data and analyses can be traced at any time. Moreover, browser-oriented access to the system’s central administration guarantees secure and sustainable further processing in a validated IT environment.
When setting up analytical platforms, it is particularly important to take into account the regulated environment. After all, these platforms deal with critical tasks as important as the development of medical devices or quality assurance. The HMS platform has enabled the developers of algorithms and their users to concentrate more on their core task: the development of highly complex analyses for use in research and production.
HMS developed an effective end-to-end research solution for a financial institution. This enables users to follow the path from the initial question asked in a study to the analysable database in a highly automated and consistent manner. The system manages the design of the necessary data model as well as the systematics of the questionnaire itself. Both the distribution and the feedback of the answers are part of the solution. And of course, plausibility checks are on file to ensure a high-quality database.
Studies are currently in vogue. Not only in regulatory environments such as the development of drugs or medical devices, but also in all other areas of business and society, findings from studies and surveys are increasingly being used to answer strategic questions. To obtain insights quickly and without errors, the IT processes required to conduct a survey need to mesh seamlessly and as many process steps as possible should be made reusable. With the help of the HMS solution, the institution can now design and carry out its studies in a consistent process and operate much more efficiently thanks to the generic approach of the system.
30 years of enterprise analytics
We have over 30 years of experience in implementing individual, enterprise-wide data analysis systems. You can rely on us to provide precisely the support you need.
We cooperate with leading technology providers, but we make independent recommendations. Because only through a vendor-independent approach can we advise you in the best possible way. We are open to the use of a wide variety of solutions.
HMS brings you an end-to-end approach: from potentials analysis to the operationalisation of BI and analytics, we never lose sight of aspects such as software quality and maintainability.