The end for retro expectations in manufacturing analytics

Expect more from your analytics. More speed, analyzing billions of rows in seconds. More insights, gleaned from consolidated datasets. And more choice, running analytics securely in the cloud, on-premises or both.

Competitive advantage in manufacturing depends on reducing waste, predicting changes in customer demand  and increasing automation, all while managing increasingly complex and connected supply chains.

You can achieve all this with the Exasol in-memory analytics database, which enables manufacturers to connect and analyze large, diverse data sets. With the resulting deeper insights you can scale operations in line with demand, increase process efficiency, model and test changes to enhance decision making, adopt predictive maintenance and improve supply chain visibility.

Exasol, the world’s fastest in-memory analytics database

High performance at scale

Scale up without slowing down, with in-memory algorithms and massively parallel processing that drives real-time production line performance and quality monitoring, or new configuration modelling for continuous improvements.

Integrate data, transform operations

Overcome silos to integrate massive data sets from the factory floor, the supply chain or IoT sources, and unlock Industry 4.0 use cases or predictive maintenance, inventory and demand forecasting applications.

Your infrastructure, your way

Unrivalled performance on-cloud, on-premises – or both – combined with wide-ranging interoperability with legacy systems, means data migration or replatforming projects can be undertaken on your terms.

Download your Manufacturing strategy report: Data Dreams vs. Retro Reality

Data Dreams vs Retro Reality

2,500 Data leaders share their top priorities, visions for the future, and what the reality is now.

COVID-19 has made rapid, accurate insights the order of the day for manufacturers, rendering the obstacles and workarounds of the “old normal” suddenly and irreversibly “retro”. It’s time to leave opaque and disconnected processes, systems and machines; and legacy infrastructures that are more fragile than agile, where they belong — in the past.

To learn more about this seismic shift, we surveyed more than 2,500 business and technical decision-makers, and interviewed 15 data and analytics leaders from top academic institutions and FTSE 100 companies.

Unified data boosts quality control for Semikron


To deliver on its precise process control requirements and stringent quality expectations, Semikron needed to make vast quantities of measurement and process data fully and easily searchable, traceable and auditable — as fast and at the most granular level possible. It achieved this with the help of the Exasol in-memory analytics database, providing process and quality engineers with the ability to create standard or ad hoc reports at the click of a button for preventative analysis and enhanced quality control.

“Our evaluation times for standard analyses could in part be reduced from several days to just a few hours a month.”

Gerhard Zapf, Group Leader IT Applications, SEMIKRON International GmbH