Data Analytics in Manufacturing

When it comes to data strategies and data-driven business development, Germany is not at the top of the international league table. However, almost all decision-makers are currently addressing the question of how to use their „data treasure“. How do you find the right data solution and which technologies are state of the art, especially in manufacturing?

The whitepaper sheds light on the typical hurdles and pitfalls of Data Analytics for manufacturing companies and plant operators, drawing on Device Insight’s experience as a consultant and solution provider. What are the winning strategies for sustainable digitalisation and Industrial Data Analytics? The whitepaper provides an in-depth insight into modern solution scenarios and showcases practical examples.

Core topics…

– Data management for IT/OT data sets: Learn how to effectively manage critical data from disparate systems to avoid a fragmented view of operational processes.

– Data-driven innovation: Learn how an enterprise wide data and analytics platform enables real time insights across the value chain and creates the basis for data driven business decisions.

– Challenges and hurdles: Get an overview of the biggest obstacles in industrial data analytics, such as data integration, data volume and heterogeneity, data management and time to insight for stakeholders.

– Latest technologies: Learn how Data Lakes on Azure/AWS and Lakehouse architectures offer effective solutions to solve the outlined problems.

– Practical use cases: Be inspired by real-world examples of how data analytics is implemented in practice, including BI reports, energy consumption/CO2 emissions per workpiece, anomaly detection in automotive production and more.