Data Driven
The way data is used is becoming a decisive factor in winning against the competition. And this is not a purely IT concern anymore. The generation of data and its usage need to be addressed by a company-wide strategy that creates a resilient and sustainable architecture for efficiency gains and leading-edge expertise.
Senacor has helped many companies to implement DWH and Data Lakes. It follows, we not only command comprehensive experience when it comes to implementation but also when it comes to operating. Data maintenance as well as retaining the level of quality of data are crucial challenges here. These days this challenge is mostly met by IT departments or special task forces. Senacor, however, advocates a company-wide social-technical approach to simplify usage and maintenance of data across organizations.
Decentralized data management by Data Mesh.
Company admin landscapes are evolving toward decentralization. The number of data sources increases and knowledge pertaining to the data is spread out over several specialist departments. That’s why more and more companies turn away from centralized DWH or Data Lakes. Many companies have already understood the advantages of Data Mesh as a social-technical and decentralized approach. Senacor not only helps with the technological side of shifting towards data platforms but also advises companies as to the organizational challenges. We do this by employing innovative operating models or even new governances, to make data maintenance, analysis and exchange more efficient.
Data Management.
Senacor technology competence includes the provision of quality-assured data in near/real time for optimization of existing processes according to their specifications and use cases. We do this, among other things, by introducing decoupling layers, by data integration of comprehensive solutions (Data Lakes, Data Mesh, etc.) or by establishing pin-point partial systems like Operational Data Stores and the like.
Senacor’s Data Analytics workbench.
Based on data availability and data structure (e.g. Data Mesh), Senacor offers the evolutionary assembly of a technical, user-driven platform as an incubator for business intelligence and machine learning. This includes operationalization of the entire value-chain – starting with exploration, followed by deployment, and ending with iterative improvements of data analytics applications using MLOps. In doing so, we create the necessary freedom data analysts and data scientists need to focus more on their core expertise.
Decentralized data provision for microservices in neartime.
Data provision and ability to combine by Data Mesh.
Decentralized data provision for microservices in neartime.
Data provision and ability to combine by Data Mesh.
