Not All of Big-Data Is Hype -- Self-Service BI with Data Analytics Can Yield Quick Results for Manufacturing

Rapid Insights and Operational Intelligence for the shop-floor

By Gopal GopalKrishnan, P.E., Solution Architect, Partners and Strategic Alliances, OSIsoft, LLC. Member, MESA International Technical and Education Committee 

Not all big-data is hype. Self-service BI with its slice and dice user experience came along just as big-data was gaining mindshare.  And, when targeted to specific use cases, self-service BI with data analytics can yield rapid insights – big data or not.

This is Part 2 of a blog post series describing the use of self-service BI and data analytics from real-life scenarios in MOM (manufacturing operations management).  This use case comes from one of Georgia Pacific’s (GP) paper machine operation.  

To read Part 1 click here: http://blog.mesa.org/2015/02/what-if-expedia-showed-your.html#links.

If you are not familiar with how paper is made, please see this interactive video tour. The data and analysis described below is for the “Papermaking” step in the video tour.  Here, several chemicals are added to the feed stock to influence its properties such as whiteness, strength, and others.  

What if Expedia showed your manufacturing operations data?

By Gopal Krishnan, P.E., Solution Architect, Partners and Strategic Alliances, OSIsoft, LLC. Member, MESA International Technical and Education Committee 

Rapid Insights and Operational Intelligence for the shop-floor

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;

Are you confused by The MES/MOM Word Game?

By Mike K Williams, MESA Americas Board Member, Dow Chemical retired

Recently a group of executive level leaders in the chemical, oil and gas sector meet to discuss the needs and value of manufacturing IT investments.  The group was rather vocal in its responses.  One common theme being voiced by all was, “IT needs to be more responsive to Operation’s needs”.  What did they mean by this statement?

The emperor's clothes, not fully dressed yet, but not completely naked - Big Data in Manufacturing

By Gerhard Greeff, MES/MOM Proponent and Facilitator, MESA GEP Contributor and Trainer, Chairman - MESA Southern Africa.

This post is in response to a post from Patrick Weber, MBA PMP regarding Big Data. I suggest you read it here http://www.linkedin.com/pulse/article/20141028204312-11146365-big-data-in-manufacturing-is-the-emperor-wearing-clothes? Patrick attempts to look through the hype at the real issues and try to see if business benefit can in fact be derived from Big Data in Manufacturing.