What's holding them back?
According to 58% of CPG respondents to our survey, it’s their failure to secure the analytical capabilities needed to make all the data ingested useful and actionable. This belies a larger challenge: a lack of completeness in D&A strategy that includes updated operating models, use cases and talent.
Crucially, with the establishment of highly flexible analytical products on the cloud, there is a need to re-think the end-to-end operating model to ensure the data and analytics capability can deliver business results at speed.
In fact, research of more than a hundred Chief Digital Officers (CDOs) states that 80% of CDOs/CEOs are struggling to deliver scalable value through data and analytics, due to their current operating model.2
On talent, critical gaps can be found in data science, visualization and a range of other D&A skills. Gaps like these are setting up a two-tier world—one that is benefitting from significant D&A talent build, and another that is coming up short.