Transcription of Decisive Data Strategic Planning - gallery.azure.com
1 PARTNERSHIPP resent for kickoff call milestone (sprint)deliveryTime Commitment:30 mins. -1 hr. kickoff30 mins. -1 hr. sprint reviewsExecutiveSponsorEngaged stakeholderProvides Clarification when needed Feedback loop mid sprint Internal coordination Data preparation (if DD is not engaged in this phase)Time Commitment:5-10 hours per weekProjectChampionProvides credentials/access tonecessary systems and databases beforeproject start date. SLA data subject matter data dictionary if Commitment: 1-2 hours per weekDatabaseAdministratorYou may play oneor manyof these rolesDATAINTEGRITYREPORTING &INSIGHTOne denormalized flat data source Join or Union tables before bringing into Power BI Speed of data retrieval dramatically improves Allows maximum flexibility for development and user experienceDD has the expertise to address business challenges below the surfaceDD ITERATIVE APPROACHDESIGN &DEVELOPM inimum Viable Product (MVP)2 White Board WireframePower BI Draft IterationPower BI Final Iteration34 Each iteration has a purpose and anoutcome.
2 These steps will savetime and increasevalue. 1 Planning SessionSTEP 1 Planning SESSIONTime Committed: 1-2 hours1 Identify the path to success. What is our objective? What is our primary business challenge? Analyze our audience to understand their behaviors and actions What kind of value will this dashboard drive within the organization?During this session, you will Identify the following:1. Objective2. Audience and Behavior3. Priority Questions4. Other RequirementsSTEP 1 Planning SESSIONSTEP 2 WHITE BOARDWIREFRAMETime Committed: 2-3 hours2 Optimize time and create vision. Understand the dashboard layout, visual hierarchy and flow Identify data necessary and advise on optimal data model More of what you want/need and less of that s not what I was expecting (the negative kind) STEP 3 FUNCTIONALDRAFT ITERATIONTime Committed: 10-16 wireframe with a functional outcome. Ensure the integrity of the data Align functionality with desired user experience Build a backlogSTEP 4 FUNCTIONALFINAL ITERATIONTime Committed: 8-12 hours4 Implement feedback, polish and introduce.
3 Implement change requests from draft iteration Complete a design audit for final polish Provide direction and UAT guidanceIncreased ValuePublish Content toPower BI Server/Online Review key capabilitiesfor user adoptionUser Training and Content Promotion Review key capabilitiesfor user adoption User onboardingEnablement & Mentoring Review key capabilitiesfor user adoption Data source best practices How-to documentation and videos Learn DD s iterative approach and design tipsCenter for Excellence Implement a reporting environmentthat will scale Learn optimal data models andoptions for security Optimize data sources to make lifeeasy for users and developers alike Analyze and monitor user adoptionthrough custom dashboards Tell data stories that drive business impact Use color to drive meaning Remove non-data ink Highlight for focus Layer dashboards Add the polish Tell a story Create questions for clarity Position by importance Choose appropriate visuals Allow for flexibility
