Get the most out of your data
We gather data for a reason.
With data, graphs, and trends increasingly filling our daily lives, the DIKW framework remains a useful reminder of the difference between data and information, and knowledge that leads to wise decisions.
- Data is meaningless without context and interpretation.
- Information is better because it adds value to the understanding of a subject, but is still lacking.
- Knowledge is one better as it brings expert opinion and experience that aids decision-making. But if we want wise decisions, we need to move beyond data and information and strive for wisdom.
Wisdom requires experience and human analytics. This allows us to understand how to apply concepts to new situations, problems, and domains.
Much criticized for its linear, hierarchical, and overly-simplistic approach, I still like the model for what it reminds us – big data and information are all meaningless without our insights, experience, and reflections.
Setting up Proactively for better decision making
To get the most insight from your data, think carefully what you wish to achieve. This should run though all parts of designing the information.
- Set company objectives and targets (KPI)
- Decide what needs to be measured to track progress
- Decide how results can be best shown in the dashboard, to give the best insight?
- What questions need to be asked and question types used to generate this data?
- Design and test the forms to make sure they produce the results needed
- Make any changes
- Roll out.