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Data and analytics · Practitioner

Data and analytics: Evidence and handover

A one-off analysis can depend on extensive manual preparation that becomes recurring work when the buyer expects regular updates. Changed fields, late feeds and revised definitions can also alter the support effort long after the initial report is accepted. Working output: A maintenance readiness plan showing source exceptions, definition changes, responsible reviewers and the work required to sustain the promised analytical update cycle.

40 min planned learning scope5 lesson sections5 knowledge questions
Data and analytics: Evidence and handoverExplain the decision dependency behind the maintenance readiness plan, including what remains uncertain about “source exceptions”. · Create the specific working output with concrete entries: A maintenance readiness plan showing source exceptions, definition changes, responsible reviewers and the work required to sustain the promised analytical update cycle. · Review the effort calculation for the maintenance readiness plan and identify who must resolve the dependency involving “source exceptions”.LEARNING / IN PRACTICEData and analytics: Evidence andhandoverExplain the decisiondependency behind t…Create the specificworking output with…Review the effortcalculation for the…Editorial study / Data and analytics: Evidence and handover
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WHAT YOU WILL TAKE AWAY

After this module you can …

  • Explain the decision dependency behind the maintenance readiness plan, including what remains uncertain about “source exceptions”.
  • Create the specific working output with concrete entries: A maintenance readiness plan showing source exceptions, definition changes, responsible reviewers and the work required to sustain the promised analytical update cycle.
  • Review the effort calculation for the maintenance readiness plan and identify who must resolve the dependency involving “source exceptions”.

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