The software solution eccenca Corporate Memory offers knits through big data cataloging and semantic data integration serving as foundation for analytics and BI. It provides customers with the ability to build logical data models upon a highly scalable data infrastructure leveraging technologies like Hadoop, Spark, and Kafka. The offering is wrapped by an intuitive ‘data shopping interface’ that enables users to browse and extract the data they need in terms they understand. Data meaning is conveyed with vocabularies that help to find, select and understand a piece of data from different perspectives without the need of creating physical copies.
The interface can ingest all common data sources and align itself to function based on predefined governance rules to address compliance as it simultaneously projects data both internally and externally. In layman terms, data consumers can specify their information needs and create data workflows to get their intended view of data objects either as a dataset for direct analysis or as an endpoint that can be queried or integrated with external applications.
The semantic approach ensures that complexity and redundancy in data integration and provisioning along with the need for physical infrastructures are reduced by large margins
Some of the big names such as Volkswagen, Bosch, Nokia, and Ericsson are among the eccenca’s clientele. Brockmann recalls an instance of one of their clients who had spent as much as 200,000 person days annually to identify, select and align the right data. Partnering with eccenca, the client was able to achieve a centralized data integration, cataloging and metadata management process by establishing a ‘data as a service’ team and data shopping platform. Consequently, the majority of data requests could be resolved in a streamlined, automated fashion and as a result, the time to market for the project was cut short to a fraction.
“Our software is driving the ability of our customers to track sensor data from their global supply chains to identify and predict causes for error, effectively using our solution to integrate and scale data across entire ecosystems,” says Brockmann.
Especially in fast evolving data-driven verticals such as supply chain and industry 4.0, being able to seamlessly connect to ‘anything or anyone,’ interpreting the data and using it in a coherent fashion provides essential business benefits. Featuring these capabilities, eccenca’s solution stack has already made its value proposition indispensable to satisfy the need for data velocity and variety in the agile data infrastructure of the future.