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Stage

Objective

Key results

KPI Definitions

Lavanya Davluri

  •  Define KPI’s
  •  Design view
  •  Drill Down Details
  •  Setting a cadence
  • Reduction in Ad hoc requests

  • Teams have access to most tracked KPIs via dashboard

Introductions

Lavanya Davluri

  •  Introduce BI project
  •  Gather feedback on pain points  in current state reporting
  •  Get details on views needed
  • Excitement for dashboards

  • Buy in

Data Engineering

JinZhao Wang

Zhiyi Wang

  •  Translate requirements into datasets
  •  Create Pipelines for new sources
  • Fast, reliable and centralized report with well defined data

Dashboarding

  •  Create visualizations that are usable and fast
  •  Allow capacity to drill down and download
  • Consistent usage from intended audience

Documentation

Lavanya Davluri

  •  Document available dashboards
  •  Definitions, Owners and collaborators
  • Most questions are answered by the confluence page

Training/Handoff

Lavanya DavluriIgor Rahal Linkewitsch

  •  Onboard team members of the vertical to start using reporting from BI stream
  • Active usage on dashboards

  • Decrease in Ad-hoc data requests 

  • Ease of access to data

Ongoing Maintenance <TBD>

(blue star)  Process

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🏗️ Phases

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Phase 1

Phase 2

Vertical

Weekly Execution - Automation

Executive Summary and Loyalty

Details

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Info

\uD83D\uDD17 Reference materials

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