Even before the pandemic, digital transformation was already in the agenda for many organisations. From what we understand, the imperative to transform got a renewed sense of urgency during the pandemic and in some cases the window to transform narrowed some say from 3-5 years to 6 months.
IDC predicts that by 2023, 75% of organizations will have comprehensive digital transformation (DX) implementation roadmaps, up from 27% in 2020, resulting in true transformation across all facets of business and society.
We’ve also been hearing of increased importance being placed on data around the same period as digital transformation. How are these two related and are they inseparable?
Joining us on this episode of PodChats for FutureCIO is Julian Quinn, Senior Vice President of Alteryx Asia Pacific and Japan, to shed light on the relationship between data and digital transformation.
1. RELATIONSHIP: We start with a simple question: How is data related to digital transformation?
a. What is the goal of data analytics in digital transformation?
b. Why do analysts think data and analytics competency are key to digital transformation success?
c. What does a future of business-powered by analytics look like?
2. LEGACY: How can organizations harness the benefits of data analytics, within the constraints of legacy technologies, to achieve data-driven transformation at scale?
a. Can technologies like AI and automation support these initiatives?
3. SKILLS GAP: How can organizations bridge the persisting skill gap in data and analytics required to keep pace with the rapid technological changes?
a. How can business leaders structure their data science teams to support transformation efforts?
4. RECOMMENDATION: What is your recommendation for organisations to help them improve how they harness the potential of data and analytics to achieve their transformation goals?
