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Data and analytics · Practitioner

Data and analytics: Planning and control

An attractive chart can conceal transformations, missing records and analyst judgements. The buyer needs to understand which evidence supports the conclusion and how the proposed method distinguishes recorded facts, derived values and assumptions still awaiting verification. Working output: A source-to-result trail showing inputs, transformations, validation checks and the explicit assumptions that a reviewer must understand before relying on the conclusion.

35 min planned learning scope5 lesson sections5 knowledge questions
Data and analytics: Planning and controlOrganise the case inputs for the source-to-result trail by confirmed status and open questions about “inputs”. · Create the specific working output with concrete entries: A source-to-result trail showing inputs, transformations, validation checks and the explicit assumptions that a reviewer must understand before relying on the conclusion. · Check the example calculation behind the source-to-result trail and assign the next decision about “inputs”.LEARNING / IN PRACTICEData and analytics: Planning andcontrolOrganise the caseinputs for the…Create the specificworking output with…Check the examplecalculation behind the…Editorial study / Data and analytics: Planning and control
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WHAT YOU WILL TAKE AWAY

After this module you can …

  • Organise the case inputs for the source-to-result trail by confirmed status and open questions about “inputs”.
  • Create the specific working output with concrete entries: A source-to-result trail showing inputs, transformations, validation checks and the explicit assumptions that a reviewer must understand before relying on the conclusion.
  • Check the example calculation behind the source-to-result trail and assign the next decision about “inputs”.

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