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FIVE KEY BUILDING BLOCKS FOR A
SUCCESSFUL ANALYTICS PROGRAM
Sarah Gates
Vice President, Research
Copyright © 2013 IIA All Rights Reserved
IIA is an independent research firm
that guides organizations to better
leverage the power of analytics.
Working across a breadth of
industries, IIA uncovers actionable
insights, learned directly from our
network of analytics
practitioners, industry experts and
faculty. We deliver critical
information that helps your business
run smarter.
IIA co-founder and Research Director, Thomas H. Davenport
BUSINESS INTELLIGENCE VS.
MANUFACTURING INTELLIGENCE
Copyright © 2013 IIA All Rights Reserved
Manufacturing
Intelligence
• Real-time connectivity
• Manufacturing analytics
• Data-source independent
• Manufacturing operations
• Manufacturing processes
• Plant floor level
integration
• Data source integration
Business Intelligence
• Static connections
• Business analytics
• Proprietary
• Business Operations
• Business Processes
• ERP/Data warehouses
• Constrained integration
Copyright © 2013 IIA All Rights Reserved
Adapted from Competing on Analytics, Davenport and Harris, 2007
Copyright © 2013 IIA All Rights Reserved
Adapted from Competing on Analytics, Davenport and Harris, 2007
Copyright © 2013 IIA All Rights Reserved
Adapted from Competing on Analytics, Davenport and Harris, 2007
Copyright © 2013 IIA All Rights Reserved
• Conceptually they are the same – insights into the
operation to make better decisions.
• At the system level – a traditional BI system may be
different from a MI system
• As with other industries, manufacturers are having to
become more predictive and prescriptive in order to
drive better performance
HOW DOES BI/ANALYTICS RELATE TO
MANUFACTURING INTELLIGENCE?
Copyright © 2013 IIA All Rights Reserved
MATURING YOUR USE OF
ANALYTICS
It is not just having the data or the talent…..
Copyright © 2013 IIA All Rights Reserved
Adapted from Competing on Analytics, Davenport, and Harris, 2007
LEVELS OF ANALYTICAL MATURITY
Copyright © 2013 IIA All Rights Reserved
Adapted from Analytics at Work, Davenport, Harris and Morison, 2010
Copyright © 2013 IIA All Rights Reserved
LEVELS OF ANALYTICAL MATURITY
5. Analytical Competitors. “Analytical nirvana.” Use
analytics across the enterprise as a competitive
differentiator and in strategy.
4. Analytical Companies. “Good at analytics.” Highly
data oriented, have analytical tools, and make wide
use of analytics. Lack commitment to fully compete
or use strategically.
3. Analytical Aspirations. “See the value of
analytics.” Struggle mobilizing the organization and
becoming more analytical.
2. Localized Analytics. “Use reporting.” And
analytics or reporting is in silos.
1. Analytically Impaired. “Not data-driven.” Rely on
gut feel and plan to keep doing so. They aren’t
asking analytics questions and/or lacks the data to
answer them.
BIG IDEAS
• You need to think about each of the DELTA model
competencies when evaluating analytics maturity
• Measure your progress and set goals that will push
you to continue to improve
• Analytics for offense and defense are critical
• Learn from other firms and industries
• Take advantage of the power of predictive and
prescriptive analytics.
Copyright© 2013 IIA All Rights Reserved
Copyright © 2013 IIA All Rights Reserved
In the new data economy, only those who compete on analytics
win
Contact us to accelerate your progress
info@iianalytics.com
503-467-0210
www.iianalytics.com
LET IIA BE YOUR GUIDE

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Five Key Building Blocks for a Successful Analytics Program

  • 1. FIVE KEY BUILDING BLOCKS FOR A SUCCESSFUL ANALYTICS PROGRAM Sarah Gates Vice President, Research
  • 2. Copyright © 2013 IIA All Rights Reserved IIA is an independent research firm that guides organizations to better leverage the power of analytics. Working across a breadth of industries, IIA uncovers actionable insights, learned directly from our network of analytics practitioners, industry experts and faculty. We deliver critical information that helps your business run smarter. IIA co-founder and Research Director, Thomas H. Davenport
  • 3. BUSINESS INTELLIGENCE VS. MANUFACTURING INTELLIGENCE Copyright © 2013 IIA All Rights Reserved Manufacturing Intelligence • Real-time connectivity • Manufacturing analytics • Data-source independent • Manufacturing operations • Manufacturing processes • Plant floor level integration • Data source integration Business Intelligence • Static connections • Business analytics • Proprietary • Business Operations • Business Processes • ERP/Data warehouses • Constrained integration
  • 4. Copyright © 2013 IIA All Rights Reserved Adapted from Competing on Analytics, Davenport and Harris, 2007
  • 5. Copyright © 2013 IIA All Rights Reserved Adapted from Competing on Analytics, Davenport and Harris, 2007
  • 6. Copyright © 2013 IIA All Rights Reserved Adapted from Competing on Analytics, Davenport and Harris, 2007
  • 7. Copyright © 2013 IIA All Rights Reserved • Conceptually they are the same – insights into the operation to make better decisions. • At the system level – a traditional BI system may be different from a MI system • As with other industries, manufacturers are having to become more predictive and prescriptive in order to drive better performance HOW DOES BI/ANALYTICS RELATE TO MANUFACTURING INTELLIGENCE?
  • 8. Copyright © 2013 IIA All Rights Reserved MATURING YOUR USE OF ANALYTICS It is not just having the data or the talent…..
  • 9. Copyright © 2013 IIA All Rights Reserved Adapted from Competing on Analytics, Davenport, and Harris, 2007
  • 10. LEVELS OF ANALYTICAL MATURITY Copyright © 2013 IIA All Rights Reserved Adapted from Analytics at Work, Davenport, Harris and Morison, 2010
  • 11. Copyright © 2013 IIA All Rights Reserved LEVELS OF ANALYTICAL MATURITY 5. Analytical Competitors. “Analytical nirvana.” Use analytics across the enterprise as a competitive differentiator and in strategy. 4. Analytical Companies. “Good at analytics.” Highly data oriented, have analytical tools, and make wide use of analytics. Lack commitment to fully compete or use strategically. 3. Analytical Aspirations. “See the value of analytics.” Struggle mobilizing the organization and becoming more analytical. 2. Localized Analytics. “Use reporting.” And analytics or reporting is in silos. 1. Analytically Impaired. “Not data-driven.” Rely on gut feel and plan to keep doing so. They aren’t asking analytics questions and/or lacks the data to answer them.
  • 12. BIG IDEAS • You need to think about each of the DELTA model competencies when evaluating analytics maturity • Measure your progress and set goals that will push you to continue to improve • Analytics for offense and defense are critical • Learn from other firms and industries • Take advantage of the power of predictive and prescriptive analytics. Copyright© 2013 IIA All Rights Reserved
  • 13. Copyright © 2013 IIA All Rights Reserved In the new data economy, only those who compete on analytics win Contact us to accelerate your progress info@iianalytics.com 503-467-0210 www.iianalytics.com LET IIA BE YOUR GUIDE

Editor's Notes

  1. At the theoretical level they are the same – providing insights about what is going on in an area of the business, in real time, alerting you to activities that need to occur,. Potentially telling you what to do and whenIf you are talking about the systems – a classic BI system will tend to be implemented on ‘business’ data rather than integrating manufacturing data – and have different refresh times, reporting etc.