Each day, we are moving towards a more data driven world. Today, the sheer scale of data that is being generated daily is simply mind boggling. Despite this vast amounts of data, only few businesses have been able to leverage it to their advantage.
Regardless of where an enterprise stands in its digital transformation journey, its importance can never be under-estimated. For a moment, just consider the adoption and implementation of a cloud based enterprise software.
While the software may be one of the best out there in terms of features, functionality and capability, its mere implementation is not enough. The key personnel that will be utilizing that software on a day to day basis need to explore its every “nook and cranny”.
I know some would say that instead of going through this painstaking process, just get a hang of the software’s basic stuff and it will be “business as usual”. In most cases, if you adopt a digital initiative with this approach, you are least likely to attain the desired result.
This whole process can be dubbed as digital acclimatization or the digital maturity cycle. While it will vary with each enterprise, depending on the scale of its operations and the scope of that digital solution’s implementation, this is a reality you just can’t ignore.
By navigating this digital maturity curve, so to say, your key personnel in the helm of that digital initiative will now be in an ideal position to leverage that solution to the maximum extent possible. At the end of day, business decisions revolve around analytics or data.
How accurate, relevant and connected those analytics are with the situation on the ground will determine the effectiveness of business decisions. In most digital transformation initiatives, highest quality analytics will likely be playing a lead role.
Therefore, enterprises need to go the extra mile when implementing digital transformation solutions and negotiate the digital maturity curve. The analytics that will emerge as a result of this process are more than likely to deliver the expected outcomes, on time.
