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 will provide a real-world, practical approach to improve Data Quality in your organization so that you can better reap the benefits that analytics can provide.

 

Topics include:

• 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