A Comprehensive Guide To Industrial Data Management

Developing a well-thought-out data management approach is crucial for the success of your organization’s smart manufacturing strategy. Effective data management enables meaningful data gathering, storage, processing, and interpretation, while also facilitating the scalability of solutions across various plant environments, business units, and production lines. These capabilities are essential for generating actionable insights, making real-time decisions, and automating business operations in line with smart manufacturing objectives.

Without a solid data management strategy, challenges arise in digital projects, including a complex network of technologies, standalone solutions difficult to integrate, poorly planned digital infrastructure, and escalating costs. In a series of six articles, we will cover topics such as data collection, modelling, contextualisation, semantic structuring, integration, storage, analytics, data-driven decision-making, and the future of industrial data management.