Define and monitor value, risks and costs with goals, metrics, guidelines, checklists across all the portfolio
Deploy a data catalog, define policies and processes, setup the governance roles and responsibilities. All organizations today need an appropriate governance workflow.
Governance is a transversal act of enforcing policies. YOOI supports multiple workflows per concept to enable governance on the full lifecycle of Data & Analytics investments across all stakeholders.
On top of intrinsic risks carried by data itself, additional risks in ethical, environmental, security aspects induced by the use of data need to be monitored closely as well. (project governance, model governance, analytics governance, risk governance, etc.)
Define and follow comprehensive requirements and deliverables checklists
Consolidate risk guidelines & evolutions for meeting cybersecurity, privacy and alignment needs
Connect assets with business use cases to identify value contribution
Prioritize efforts or decommission items base on combined value and risks
Ensure validation and checkpoints are enforced and tracked
With more and more data protection and cybersecurity guideline being implemented, organizations need to translate policies into practices and procedures.
Effective end-to-end governance allows all actors in the value chain to use data in ethical and legal manner.
The alignment with current and anticipated use of Data & Analytics initiatives ensures organizations’ continuous compliance with the regulations and requests.
Comply with various policies by using workflows to define requirements and deliverables checklist and ensure stakeholders validations and checkpoints are enforced along the way.
This enables efficient approval at every critical step along with tracking the deployment and results.
Using combined value and risks, managers and data teams can notice which data sets matter most to the organization. Then, allocate additional resources and efforts in leveraging the data asset to its full potential.
On contrary, end-to-end governance also allow them to spot data initiatives that are no longer a positive assets and remove them promptly.