Key Takeaways
Becoming data-driven is a holistic effort: Data strategies requires examining a variety of levers that an organization can scale. This includes ownership, data asset management, governance, enablement, culture, skills, and much more.
The most important component is people: When trying to become data-driven, the cultural and skills component is arguably the most important. Organizations cannot accelerate technological investments without building up a culture of analytics and data.
Data transformation is iterative: As opposed to traditional technology projects, becoming data-driven is a long arduous process that requires investment, time, and patience. Companies looking for ROI within 6 months of their data transformation will most likely be disapointed.
Key Quotes
We know that ROI cannot be that easy derived for data transformation. It takes some time to build out the organization's capabilities. If somebody's looking at ROI in six months to a year, it's probably not practical.
When building data literacy and evangelizing the value of data—it's important to keep people engaged with events and tools like hackathons, community of practice, and upskilling. It's a gradual upskilling.
