In my point of view, to ensure a future-proof industrial data historian, it's essential to generate business value from data by delivering accurate, contextualized data sets that can be consumed by multiple use cases across different layers (shop floor, edge, and/or cloud). This minimally requires the data historian to simplify and unify interoperability, extensibility, versioning, context modeling, scalability, and governance (access control & sharing, lineage, observability, quality).
What do you think? What other characteristics do you believe ensure a future-proof industrial data historian?
Factry is a good example of an industrial data historian, among others.
🔮 Is your industrial #DataCollection solution ready for tomorrow’s challenges? Do the test and explore four key traits of a future-proof #DataHistorian.
1️⃣ No artificial limits on data and tags, and users
2️⃣ ?
3️⃣ ?
4️⃣ ?
Discover all 4 traits in the full blog! Link in the comments below 👇
Industrial Transformation Manager at Vivix | Innovation Leader | Industry 4.0 | Value Management Office | Siemens Techcellence Award
3moIn my point of view, to ensure a future-proof industrial data historian, it's essential to generate business value from data by delivering accurate, contextualized data sets that can be consumed by multiple use cases across different layers (shop floor, edge, and/or cloud). This minimally requires the data historian to simplify and unify data interoperability, extensibility, versioning, scalability, quality, and governance.