Chapter 2

Can a neat metric be trusted on messy data?

Dữ liệu gốc bẩn thì con số đẹp có đáng tin?

The chapter's question

Where is my HR data, and can it be trusted?

Big idea

Metrics are only right when the source data is clean and shares definitions.

In this chapter

  1. Part 2.1

    Shared Definitions

    What counts as an employee, and what counts as a leaver?

  2. Part 2.2

    One Master Sheet

    How do I gather data into one place?

  3. Part 2.3

    Cleaning

    Which data errors are common?

  4. Part 2.4

    Data Privacy

    Who may see personal data?

The reading for this chapter is inside Conan School

This chapter has 4 readings, with case stories and exercises. Chapter 1 of The Number on the Director's Desk is free to read right here.

Read in Conan School

Chapters of The Number on the Director's Desk

  1. 1.Report the numbers we have, or the ones leaders need?
  2. 2.Can a neat metric be trusted on messy data?
  3. 3.Which metrics will we still calculate next month?
  4. 4.Does anyone still read the tenth chart?
  5. 5.Which builds trust: a beautiful report, or a regular one?