Data Quality: An Architecture for Success
Presented by Nigel Turner
Getting Data Quality right remains a key challenge for most organizations. As more companies strive to be data-driven, establishing and sustaining a high-quality data foundation of accurate, complete, and reliable data is now more important than ever. Despite this, poor Data Quality remains the norm rather than the exception in many companies.
Why do these problems persist? Data Quality technologies have improved immeasurably over recent years, and today there are few large organizations that do not have at least one dedicated Data Quality tool somewhere in their IT estate. But, of course, this is set against a backdrop where today’s Data Management challenges are becoming increasingly diverse and complex, as the volumes and varieties of data continue to grow. Meanwhile, poor Data Quality continues to negatively impact company revenues and profits, increases costs, and exposes an organization to legal, regulatory, and reputational risks.
So how can organizations best tackle this continuing battle with Data Quality? This webinar suggests that the key to success is to adopt a more strategic approach by aligning the Data Management disciplines of Data Quality, Data Architecture, and Data Governance to deliver better data.This session will address:
• What is Data Quality and why does it matter?
• The business and societal impact of continuing poor Data Quality
• The inadequacies of traditional Data Quality approaches
• Strategic approaches to tackling Data Quality
• Creating and operating an aligned and unified Data Quality, Data Architecture, and Data Governance framework