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Current focus topics include, amongst others, search technologies, geo data and data lifecycles. Moreover, we are interested in the development of fast key-value data bases.
Data-driven business analysis
An appropriate business case must be defined to enable a targeted data-driven analysis. Subsequently, it is a matter of exploring relevant data and testing the contextual framework.
Security / Governance / Stewardship
The responsible handling of large data volumes is a fundamental principle of big data applications. Data Governance and Data Stewardship are essential for data management.
Change management
Data-driven applications change corporate procedures and decision making processes. It is expedient to have a “data vision”, enabled and empowered staff and the right expectation management.
Recommendation engines
Would you like some recommendations? By harnessing learning recommendation engines you can present your users with appropriate contents which is especially important for a high level of convenience in online shops.
Data lifecycle
From generation through to archiving or disposal, data passes through many stages. In this context, various aspects such as time dependency must be taken into account.
Hybrid data storage
Conventional relational data bases and big data are not mutually exclusive. Their combination makes sense in many cases – as in a data warehouse, for example.