Many organizations are missing a quality data foundation, which ultimately creates hurdles for realizing real value from data. We have identified the 4 most often experienced challenges to establishing a sound data platform.
001 | Design both the infrastructure and the ongoing management processes to not just ensure data quality but also sustain data health
002 | Drive focus and priorities on real use cases rather than on considerations of IT efficiency
003 | Pool critical data across siloes to support creation of one shared truth/common source data
004 | Establish clear accountability for ensuring data quality, security and access
001 | Designing a scalable data infrastructure
Define a data architecture that is tailored to the needs of the priority use cases and by assessing and selecting tools based on a combination of IT, procurement and user considerations.
002 | Defining an organization-wide governance approach
Identify the data governance issues most critical to address, and establish a critical end-product that creates clear accountability and processes for managing issues in the long run.