Red PicoLibrary

Leaders on AI Adoption

4 Practical steps to Maximizing Business Impact Through Data Governance

4 Practical steps to Maximizing Business Impact Through Data Governance....

Just attended a session "Maximizing Business Impact Through Data Governance," presented by Dan Mazur where he delved into key strategies for leveraging data as a pivotal business asset.

🎯 4 Practical Steps:
- Identify low-hanging fruits like standardizing data formats.
- Establish data ownership and accountability.
- Implement basic data quality checks for precision.
- Create a data catalog as a central repository.

💡 Building a Data Culture:
- Lead by example to foster data-driven decision-making.
- Communicate the benefits of data to enhance performance.
- Empower employees with data skills for company-wide literacy.
- Celebrate data successes and reward achievements.

A few Case Studies which I found interesting:

🏭 Industrial:
A steel company in Cleveland showcased critical data automation's role in reducing errors and improving quality, leading to a 2.5x ROI in the first year.
🏦 Banking Transformation:
An international bank's quick-start data stewardship program led to immediate high-risk customer data improvements, setting the stage for enterprise-wide governance.
💼 Effective Stewardship:
A national bank's formation of a Third-Party Data Stakeholder Committee cut annual expenditures drastically by enhancing third-party data usage.

🔑 Key Takeaways:
- Data governance isn't just policy; it's a culture that starts with leadership.
- Tactical steps can lead to significant financial returns.
- Data quality and real-time access are pivotal for customer satisfaction.

The session was a powerful reminder that data is more than just numbers; it's an asset that, when managed well, can redefine the landscape of business operations. Thanks DataQG team and Philip Black for putting this together.

First shared on LinkedIn.

Related

Go deeper: AI Audit Checklist: What Auditors Will Ask For | NIST AI RMF Explained: Govern, Map, Measure, Manage

Get the next one first

Weekly thinking on data and AI governance from Ash Srivastava.