Many organizations have invested heavily into big data—building or have already built data lakes to attempt to capitalize on the promise of big data. However, we have found that most clients are still struggling to move users from their legacy systems to the new big data ecosystems.
Users continue to show apprehension to commit to the “new,” often due to a variety of reasons (e.g. steeper learning curves). This has prompted many organizations to have to revisit their adoption strategies. It is no longer enough to take the “build it and rely on the promise of big data for users to come” approach.
Embedding a Core Adoption Program bridges the gap between the end users and the platform teams to actively drive user adoption and satisfaction, focusing on several key factors for success:
- User access and onboarding experience
- Support for tools and navigating data
- Communications and change management
- Data quality and trust
- Platform roadmap and prioritization