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Increasing the Success of Business Analytics: Improving Requirements Determination? Ulrike Schultze, Cox School of Business, SMU
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Motivation New course prep: BA consulting project Blueprinting a BA solution for brand management Outline of project deliverables Few conceptual tools for BA requirements determination Reasons for BA project failure Lack of adoption due to poorly understood requirements Lack of user involvement Insufficient communication b/w user and data scientist Waterfall vs Agile
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Why BA Projects Fail http://www.fyisolutions.com/blog/five-reasons-why-business- analytics-projects-fail/ http://www.fyisolutions.com/blog/five-reasons-why-business- analytics-projects-fail/ Lack of Adoption by the Business Users – due to lack in involvement http://www.enterpriseappstoday.com/business-intelligence/why- most-business-intelligence-projects-fail-1.html http://www.enterpriseappstoday.com/business-intelligence/why- most-business-intelligence-projects-fail-1.html 70-80% of BI projects fail (Gartner 2011) Developers do not examine the business' own needs and the way they are evolving agile is the answer http://deloitte.wsj.com/cio/2012/06/06/5-reasons-analytics- projects-can-fail/ http://deloitte.wsj.com/cio/2012/06/06/5-reasons-analytics- projects-can-fail/ Lack of communication between data people and decision people resulting in wrong or flawed solutions
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Project Scope Framework Approve Customer Credit Application Event ResultSubprocesses App sub- mitted Customer notified & Set up Case for Action Vision Metrics (of AS-IS)ActorsEnabling Mechanisms -Automated credit processing for small customers -Large customer apps handled in <2 days -1-4 hours applied time per application -7 days elapsed time per application -Process 150 apps per month; 10% growth per year -Loss of market share -Credit approval takes up to 2 weeks Complete Application Evaluate App Approve or Deny Inform Customer Set up Customer -Applicant -Sales Rep -Credit Rep -Credit Application -Credit Report -Notification Letter -Sales System
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Tools for Requirements Determination Swimlane diagram of AS-IS business process (e.g., brand management) Strategy map of business area Analysis of AS-IS Decisions Objectives, metrics used, phase in analytical cycle, automated/manual, tools used, logic Importance of decision (operational & strategic impact) Performance of decision (speed, accuracy, …) Identify decision opportunities for TO-BE (new decisions, access to better data, new BA applications)
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Strategy Map (Balanced Scorecard) ROCE Customer Loyalty Customer Loyalty On-Time Delivery On-Time Delivery Process Cycle Time Process Cycle Time Process Quality Process Quality Employee Skills Employee Skills Financial Customer Internal/Business Process Learning and Growth Performance Drivers /Leading Measure Outcome/Lagging Measure
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Prioritization Matrix
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Enterprise Data Warehouse Bus Matrix Feasibility Analysis: Different colors designate existing vs new sources DatePolicy Holder Cove- rage Cover- ed Item AgentPolicyOnline Sear- ches Decision 1 xxxxxxx Decision 2 xxxx Decision 3 xxxx Data/Dimensions
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Candidate BA Application List Rank App Name Short Descr Analytics Cycle Category Owner Biz Value Level of Effort App Type Data Elements Comments 1Dash- board Moni- tor 95Dash- board 2Data Minin g Cau- sality 85Algori- thm 3AlertsExcep -tions 97Alerts
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Value Realization Grid Feasibility Potential Business Impact BAA4BAA3BAA2BAA1BAA5 BAA= Bus. Analytics Application
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Specifications for Top Three BAA Name, High-level description (who, what, when, how, why) Criteria for Success Application Details Data (Sources and Elements) – but no tech or data architecture Application Logic Mock-up of Report
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Final Deliverables: Implementation Plan & Business Case TO-BE process flow (with new decisions and BA apps) Stakeholder Analysis Assessment of change readiness Planning for resistance GANTT chart to implement top three BA apps Executive Summary: Making the Business Case
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