The « Data Maturity Model » – Part 2 [Comparison & Differences]

The « Data Maturity Model » – Comparison & Differences

The definitions of the different levels were cleared in the introductory post. Now, let us make a comparison of the different levels of Data Maturity and  understand in which level of maturity we are situated, as an organisation, project or business division.

We compare the different levels in terms of :

  • Data Usage
  • Scope
  • some examples

The following table elaborates further on the above dimensions :

Data Maturity LevelData UsageScopeExamplesComments
1 - Data-agnosticGeneric usage without emphasis on the data itselfDaily
Relation-based businesses.
Single-person entrepreneurs (artists, etc).
Lifestyle entrepreneurs.
2 - Data-sensitiveRead-only usage. Data is used a posteriori to demonstrate business / project performanceProject-based
Generic small businesses.
Very small SMEs.
Artisanal SME
3 - Data-orientedIn addition to Read-only usage, data is used regularly to forecast / predict improve business or project performance. This is à priori usage.Project-based
Large businesses.
Organised SMEs.
Nevertheless, data is treated as a means to a business end.
The value of data does not live outside the business context.
4 - Data-drivenData is used as a key business driver.
Decisions are made (even automated) using data.
Project-based usage is intrinsically coupled with business/organisational usageModern organisations.
Social Media companies.
Companies with excellent historic records of operations & activities.
Data generates / creates further value [value-add]

Data Maturity Model - Comparison

Previous page: « Data Maturity Model » – Part 1 [Introduction]

Next Page: « Data Maturity Model » – Part 3 [Metrics]

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