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
- some examples
The following table elaborates further on the above dimensions :
|Data Maturity Level||Data Usage||Scope||Examples||Comments|
|1 - Data-agnostic||Generic usage without emphasis on the data itself||Daily|
Single-person entrepreneurs (artists, etc).
|2 - Data-sensitive||Read-only usage. Data is used a posteriori to demonstrate business / project performance||Project-based|
|Generic small businesses.|
Very small SMEs.
|3 - Data-oriented||In addition to Read-only usage, data is used regularly to forecast / predict improve business or project performance. This is à priori usage.||Project-based |
|Nevertheless, data is treated as a means to a business end.
The value of data does not live outside the business context.
|4 - Data-driven||Data is used as a key business driver.|
Decisions are made (even automated) using data.
|Project-based usage is intrinsically coupled with business/organisational usage||Modern 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]