Practical Guide to Industrial Data Management

This guide outlines a seven-step process for manufacturers and industrial companies to effectively manage and utilize industrial data. It begins by emphasizing the importance of starting with clear use cases and business goals, ensuring that all relevant stakeholders are involved from the outset. The guide then details the identification of target systems and data sources, addressing challenges such as data volume, correlation, context, and standardization. It discusses integration architectures, comparing direct API connections with DataOps integration hubs, and highlights the significance of establishing secure connections using various protocols. The document emphasizes the need for standard data models to facilitate real-time data mapping and the importance of ongoing monitoring and management of data flows. The guide concludes by recognizing the dynamic nature of industrial environments, which necessitates continuous adaptation and collaboration between IT and OT professionals to maintain data that is fit for purpose.