While delivering an engaging customer experience should certainly be a top priority, organizations also can’t ignore the pressing need to do more with less, maximize existing resources and enhance the performance of their digital properties.
The COVID-19 pandemic has highlighted the need for speed, agility and resilience within organizations’ operational and resourcing models. Businesses have had to adapt their entire go-to-market strategies in a matter of days and weeks, whilst at the same time shifting to a remote workforce, almost overnight.
While delivering an engaging customer experience should certainly be a top priority, organizations also can’t ignore the pressing need to do more with less, maximize existing resources and enhance the performance of their digital properties.
There are innovative use cases that are currently driven using Data Science, and given the cheap cost of storage and cloud infrastructure, it is tempting for enterprises both big and small to start this journey. While the rest of engineering has reached a phase where Agile/Agility has become an abused term, Data Science, still needs to catch up on a lot of practices.
As we near the end of the year, it’s time to take a step back and address how your transformation plans can adapt to and align with what’s happened, as you look forward to 2021.
