If there is one buzzword in the tech industry right now, its none other than digital transformation. Enterprises across the globe are adjusting and re-aligning themselves with the new business realities of the post pandemic era.
Recently, Gartner conducted its sixth annual Chief Data Officer (CDO) survey. The interesting findings of this survey were presented at Gartner’s Data and Analytics Summit 2021. Due to the prevailing situation, this three day summit was a virtual event.
According to the findings of this survey, nearly 72% of Data and Analytics (D&A) experts are either leading or heavily involved in various digital transformation initiatives within their respective organizations.
Out of the above 72% respondents, nearly 24% were found to be directly leading digital transformation initiatives that were underway within their organizations. This statistic clearly points out towards the blurring boundaries between data and digital experts.
If there is one key takeaway from the findings of this survey, it would be the instrumental role which data has started to play in the domain of digital transformation. It won’t be an overstatement to say that modern enterprises are becoming data driven.
Apart from this overwhelming 72% majority of D&A experts that were either leading or heavily involved in digital transformation initiatives, another 18% was involved in the process to a moderate extent.
Towards the end, Gartner’s experts have pointed out that merely manipulating data and extracting insights will no longer be an adequate strategy for the modern, digital enterprise. These insights from data also need to translate into quantifiable business results.
One more change that needs to come alongside any such digital transformation initiative is a change in the entire organizational culture. At the end of the day, all these insights need to translate into tangible growth and value generation for all the key stakeholders.
The success of any digital transformation initiative now strongly depends on the ability of an enterprise to effectively leverage Data and Analytics (D&A).
