Presentation: What if Expedia Showed your Mills' Operations Data?

It is no surprise that the big-data hype is falling into the trough of disillusionment (Lisa Kart, Gartner, January 2015, ""Big Data Industry Insights"") and organizations are struggling to get value from their big data investments.

As if to save the day, a McKinsey January 2015 article "Getting Big Impact from Big Data" makes a number of recommendations. "Visualization tools… are putting business users in control of the analytics tools by making it easy to slice and dice data, define the data exploration needed to address the business issues, and support decision making.", writes David Court. Earlier in the article he says "…analytics specialists builds models targeted to specific use cases. These models have a clear business focus and can be implemented swiftly."

In my own work and those with our paper & pulp customers, we find self-service data analytics that use models targeted to specific use cases such as sheet breaks, resin usage, and real-time costing is key to rapid insights and high impact returns to the business. Whether it is small data or large data, or even big data, what is needed is an enterprise wide MOM (manufacturing operations management) infrastructure that collects data and events and places them into the appropriate semantics for every user. This is a critical foundation for achieving the goals of operational intelligence. Attend this session to see several paper & pulp examples of rapid insights and an Expedia like self-service user experience with PI System data.