O slideshow foi denunciado.
Seu SlideShare está sendo baixado. ×

Case Study UMUC - Decision Modeling for Predictive Analytic Projects - Predictive Analytics World SF 2015

Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio

Confira estes a seguir

1 de 22 Anúncio

Case Study UMUC - Decision Modeling for Predictive Analytic Projects - Predictive Analytics World SF 2015

Establishing a shared understanding of the business problem across business, IT and analytics teams is critical for successful predictive analytics projects. Recently decision modeling has begun to be adopted as a way to specify business requirements for predictive analytics projects. This session will introduce decision modeling and describe how it helps predictive analytics practitioners. The value of the technique will be illustrated with both experience working with real-world projects and of using the approach to teach students of analytics.

Establishing a shared understanding of the business problem across business, IT and analytics teams is critical for successful predictive analytics projects. Recently decision modeling has begun to be adopted as a way to specify business requirements for predictive analytics projects. This session will introduce decision modeling and describe how it helps predictive analytics practitioners. The value of the technique will be illustrated with both experience working with real-world projects and of using the approach to teach students of analytics.

Anúncio
Anúncio

Mais Conteúdo rRelacionado

Diapositivos para si (20)

Semelhante a Case Study UMUC - Decision Modeling for Predictive Analytic Projects - Predictive Analytics World SF 2015 (20)

Anúncio

Mais recentes (20)

Anúncio

Case Study UMUC - Decision Modeling for Predictive Analytic Projects - Predictive Analytics World SF 2015

  1. 1. Decision Modeling for Predictive Analytic Projects JamesTaylor CEO Steve Knode Program Director @jamet123 #decisionmgt
  2. 2. Master of Science in Data Analytics (MSDA)  36 Graduate credits (six courses)  Foundations & Predictive Analytics certificate options  MBA Option (18 more credits)  Integration of analytics and decision-making  Competency-based courses  Entirely online classes  More information: http://www.umuc.edu/academic-programs/masters- degrees/data-analytics.cfm University of Maryland University College (UMUC) © Steve Knode, 2015
  3. 3. Master of Science in Data Analytics (MSDA)  Data630 – Decision management systems  Emphasis on Tom Davenport approach from “Keeping up with the quants”  Three steps:  Frame the problem  Solve the problem  Communicate and act on the results  DecisionsFirst  Essential software for “framing” aspect  Significant contributor to “communicating” aspect  Used by students for team and individual assignments University of Maryland University College (UMUC) Davenport, T. H., & Kim, J. (2013). Why everyone needs analytical skills. Keeping up with the quants your guide to understanding and using analytics (). Boston, Massachusetts: Harvard Business Press. © Steve Knode, 2015
  4. 4. How does the use of “framing” improve/alter decision making? Helps move the organizational culture from: “BOGGSAT” (Bunch of Guys and Gals Sitting Around Together) To: evidence-based decision making! “If I were given one hour to save the planet, I would spend 59 minutes defining the problem and one minute resolving it,” Albert Einstein Guszcza, J., & Lucker, J. (2012). A delicate balance: Organizational barriers to evidence-based management. Deloitte Review, (10), http://dupress.com/articles/a-delicate-balance-organizational-barriers-to-evidence-based-management/? © Steve Knode, 2015
  5. 5. How does the use of “framing” improve/alter decision making?  Provides “structure” (who, what, how, when)  Provides “transparency” of decision process  Promotes “buy in”  Fosters innovation  Standardizes approach to decision making  Provides an audit trail for decisions  Improves/changes the business model © Steve Knode, 2015
  6. 6. ©2015 Decision Management Solutions 5 From Decision To Data Decision Analytic Insight Data …not the other way around @jamet123 #decisionmgt
  7. 7. ©2015 Decision Management Solutions 6 Workflow Thinking in BI Identifying decisions in workflows does not define decision making Workflows show When decisions are made Who makes decisions What information they use What the consequences are Workflow doesn’t show HOW @jamet123 #decisionmgt
  8. 8. ©2015 Decision Management Solutions 7 Decision AND Workflow Thinking Explicitly shows Information used Questions answered Policies, regulations used Role of analytics Adding Decision Modeling explains HOW a decision is made @jamet123 #decisionmgt
  9. 9. ©2015 Decision Management Solutions 8 Decision Modeling and Notation (DMN) “… provide a common notation that is readily understandable by all business users... DMN creates a standardized bridge for the gap between the business decision design and decision implementation.” Use Cases Modeling Human Decision-making Modeling Requirements for automated Decision-making Implementing automated Decision-making OMG Specification – a peer to BPMN Decision Management Solutions, IBM, Oracle,TIBCO, FICO, Escape Velocity, KUL, Model Systems, KPI,Visumpoint Approved. Finalization expected Q1 2015 @jamet123 #decisionmgt
  10. 10. Source:DecisionsFirst Modeler and UMUC Example: Hold or sell distressed mortgage Information Knowledge Decision Precise Definition Link to analytic Identify decision to be improved Uses a non-technical notation @jamet123 #decisionmgt
  11. 11. ©2015 Decision Management Solutions 10 An Advanced Analytic Methodology CRISP-DM @jamet123 #decisionmgt
  12. 12. ©2015 Decision Management Solutions 11 Business Case and Monitoring Analytic Decisions KPIs Processes and Systems Organizations Monitoring @jamet123 #decisionmgt
  13. 13. ©2015 Decision Management Solutions 12 Lessons Learned Decision Models frame and communicate analytic requirements Decision Models can be shared between team members How the analytic will add value is clear The requirements for deployment and usage are clear @jamet123 #decisionmgt
  14. 14. Thank You JamesTaylor james@decisionmanagementsolutions.com @jamet123 #decisionmgt Steve Knode steve.knode@umuc.edu decisionsfirst.com
  15. 15. Back-up Slides
  16. 16. Master of Science in Data Analytics (MSDA)  Courses: (6 graduate credits each)  Data610 – Datamining  Data620 – Data Management and Visualization  Data630 – Decision Management Systems  Data640 – Predictive Modeling  Data650 – Big Data Analytics  Data660 – Data Analytics Practicum University of Maryland University College (UMUC) More questions: steve.knode@umuc.edu or Dr. Rand Ford, rand.ford@umuc.edu © Steve Knode, 2015
  17. 17. Decision Traps Russo, J., & Schoemaker, P. (1989). Decision Traps. New York: Simon & Schuster. © Steve Knode, 2015
  18. 18. Decision Traps Russo, J., & Schoemaker, P. (1989). Decision Traps. New York: Simon & Schuster. © Steve Knode, 2015
  19. 19. DecisionsFirst Modeler Social, collaborative, cloud-based Decision Management modeling software that puts decisions at the heart of your business architecture, building better requirements and driving successful business rules implementations 18©2015 Decision Management Solutions
  20. 20. Determine call center staffing Source: DecisionsFirst Modeler and UMUC
  21. 21. Estimate days until grant funding Source: DecisionsFirst Modeler and UMUC
  22. 22. Tax return audit recommendation Source: DecisionsFirst Modeler and UMUC

×