Data Quality - Building Trusted Data for AI and Analytics
In today’s data-driven enterprise, Artificial intelligence (AI) and business intelligence reporting (BI) are poised to provide faster insights and better decision-making to drive organizational success. But without the right Data Quality, organizations are at risk of making the wrong decisions based on bad data, leading to negative outcomes and the potential for regulatory and audit concerns.
This webinar provided a real-world, practical approach to improve Data Quality in organizations so that they can better reap the benefits that analytics can provide.
Topics included:
- Impact of Data Quality on Organizational Success
- The intersection of Data Governance and Data Quality
- Building a successful roadmap for Data Quality Improvement
- Case studies in government, education and commercial organizations
- A repeatable process for Data Quality - leveraging "quick wins" that scale
Speaker Details
Donna Burbank
Managing Director, Global Data Strategy Ltd.
Event Topic
Artificial Intelligence, Big DataRelevant Audiences
All State and Local Government, All Federal Government
Event Type
On-Demand
Event Subtype
Webinar / Webcast
Duration
1h 0min
Registration Cost
Complimentary