This situation is happening more often than we imagine in a context where the volume of data is continuously growing.
To analyse the data qualitatively, a change in the organisation is often required and identified but rarely operationally deployed.
This asynchronous trend between the data volume increase and the organisational change creates disappointment within many organisations since they don’t get the expected value from data.
Although the image of the “data driven” decision may be tempting and very trendy, it’s sometimes taking us away from considering the big picture. The risk is also that it may lead to decisions going backward the expectations.
Some organisations may be dramatically impacted by the way the data analysis is managed. Although this observation may seem quite exaggerated, the risk is easy to perceive considering the what’s required to qualitatively fuel the decision with data insights and the complexity of the change needed in the organisation.