Uploaded byDecision Management Solutions
4 Ways Decision Modeling Creates a Data Driven Culture
This document discusses how decision modeling can help create a data-driven culture. It describes 4 key ways decision modeling provides benefits: 1. Decision modeling increases transparency in decision-making by explicitly specifying the information, knowledge, precision and context required for decisions. 2. It helps balance the use of data/analytics and human instincts in decisions. 3. Modeling decisions improves collaboration between business experts and analytic professionals. 4. Decision models provide a framework for continuously improving decisions by capturing best practices and focusing on key drivers of change.
More Related Content
Similar to 4 Ways Decision Modeling Creates a Data Driven Culture
4 Ways Decision Modeling Creates a Data Driven Culture
- 1. 4 Ways Decision Modeling Createsa Data-Driven Culture JamesTaylor CEO
- 2. © Decision ManagementSolutions, 2013 1 Your Presenter – James Taylor CEO of Decision Management Solutions We work with clients to improve their business by applying analytic technology to automate & improve decisions I have spent the last 11years championing Decision Management and developing Decision Management Systems
- 3. © Decision ManagementSolutions, 2013 2 Data-Driven Culture Research Recent HBR Study Data Driven Cultures: Enhance analytic skills Balance data and instincts Build relationships with analytic professionals Capture analytic best practices Drivers include Compressed time frames Lack of transparency More analytic proof points
- 4. 1 2 3 45 6 AGENDA Decision Modeling Decision-making Transparency Balance Data and Instincts Build stronger relationships Create a framework for improvement Next Steps
- 5.
- 6. © Decision ManagementSolutions, 2013 5 Decision Modeling Specifies Information • What is needed? • Where does it come from? Know-how • How to make it • How to improve it Precision • Exactly how? • Without technical details Context • Processes • Systems • Organizations
- 7. © Decision ManagementSolutions, 2013 6 A Decision Requirements Model Information Knowledge Precision
- 8. © Decision ManagementSolutions, 2013 7 4 Steps to a Decision Model Identify Decisions • For an analytic • For a business area Describe Decisions • Questions and answers • Business context • Organizational context • Application context Define Requirements • Input data requirements • Analytic and other knowledge • Decision Requirements Diagram • Related decisions Complete the Model • Decompose decisions • Refine information • Refine knowledge • Add Information for analytics • Repeat
- 9.
- 10. Analytic Workflow Thinking Identifyingdecisions 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 9© Decision Management Solutions, 2013
- 11. © Decision ManagementSolutions, 2013 10 Decision AND Workflow Thinking Adding Decision Modeling explains HOW a decision is made Explicitly shows Information used Questions answered Policies, regulations used Role of analytics
- 12. © Decision ManagementSolutions, 2013 11 Avoid The Telephone Game Requirements telephone Decision Makers ask for data or an analytic But this does not help them make the decision So they ask for more or different data But that doesn’t help either So they ask for a different view of the data … Until they get fed up and do something in Excel!
- 13. © Decision ManagementSolutions, 2013 12 Decision Models Improve Transparency Links action… To analytic Uses a non-technical notation Model can be built by business analysts
- 14. Balance Data andInstincts
- 15. © Decision ManagementSolutions, 2013 14 Data, Information, Insight Insight Information Data
- 16. © Decision ManagementSolutions, 2013 15 Insight Matters in Decision-making Insight Information Data
- 17. © Decision ManagementSolutions, 2013 16 Analytic Insight A predictive analytic model The results of data mining A forecast An estimate An optimization model A report or visualization …
- 18. © Decision ManagementSolutions, 2013 17 Knowledge and Decisions Decision
- 19. © Decision ManagementSolutions, 2013 18 Decision Models Balance Instinct, Analytics Analytic Analytic Policies and RegulationsToo Instinct
- 20.
- 21. © Decision ManagementSolutions, 2013 Success requires collaboration Business Decision 20
- 22. © Decision ManagementSolutions, 2013 21 Build Confidence with Context Processes Activities require decisions Events Trigger decisions Systems Implement decisions Organizational Units Make decisions Own decisions Are impacted by decisions Know which business processes will be improved by your analytics Know when your analytics might be calculated Know how you will have to deploy your analytics Know who will have to believe your analytics
- 23. © Decision ManagementSolutions, 2013 22 Decision Models Frame Collaboration Which Processes use this? Who decides this? Who determines how this is decided?
- 24. Creates a Frameworkfor Continuous Improvement
- 25. © Decision ManagementSolutions, 2013 24 Decision Models Capture Best Practice Use Decision Models to document best practice Share models and discuss decision-making approaches
- 26. © Decision ManagementSolutions, 2013 25 Drivers of Change New regulations or policies Changes to business goals Changes in underlying data Overall decision performance
- 27. © Decision ManagementSolutions, 2013 26 Decision Models Focus on Change Drivers New Data New Goal New Policies or RegulationsToo Overall Performance
- 28.
- 29. Download our DecisionModeling for Analytic ProjectsWhite Paper Register for a Free DecisionsFirst Modeler Evaluation Get Started Today with our Starter Services Convert existing requirements document Joint requirements development online Jump Start hands-on training onsite Contact us about Training Onsite or online © Decision Management Solutions, 2013 28 Model Decisions For Analytic Success
- 30.