10 Trends for Industrial Decision Support Systems

Free White Paper

Technological change is accelerating and businesses face challenges due to major generational changes in their workforce.  In some countries, workers with skills in industrial automation and manufacturing operations are retiring faster than new ones are entering.  The new workers joining the industry have vastly different expectations because they have grown up with pervasive technology and are “digital natives”.

These generational factors are affecting the expectations for products that companies manufacture, with the demand growing for the mythical lot size of “one”. The battle for a competitive edge, despite great technologies, can be tougher than ever before.

As a result, technologies for industrial decision support systems must adapt and new approaches are required.  This whitepaper explores 10 trends we’ve observed in these systems, and how they are helping industrial users and manufacturers face the challenges

Contents:

1. Management and the measurement or Hawthorne effect
2. What is an industrial decision support system?
3. What is an Operational Data Store, or ODS?
4. The 10 trends
   1. Systematizing the ODS
   2. Promoting Self-Service
   3. Employing Bots
   4. Understanding Industrial Data
   5. Building the Calculation “Bridge”
   6. Giving Perspective
   7. Embracing Manual Data Entry
   8. Seeing and Understanding
   9. Being Social
   10. Enabling the Bigger Picture

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