How to Strengthen Enterprise Data Governance with Data Quality

If your organization is in a highly-regulated industry  or relies on data for competitive advantage  data governance is undoubtedly a top priority.  Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.
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Spotlight

OTHER ON-DEMAND WEBINARS

DataOps and Cloud Data Ecosystems: Overcoming the 3 Biggest Hurdles

The cloud is changing the way we use data and at the same time, the way we use data is changing the cloud. Organizations are adopting multiple cloud data platforms to maximize data’s value, but in doing so are often increasing complexity for data engineering and DataOps teams that may stifle the very reason for investing in those platforms.
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High-Impact Analytics for Financial Services: Integration Updates to Salesforce Genie, Snowflake, and CRM Analytics

Learn how the unique relationship between Salesforce Genie, Snowflake, and CRM Analytics is creating new ways for financial services firms to realize the value of customer data. Join us as industry leaders showcase the different real-time data integration options and discuss how customers are leveraging these platforms to achieve success today.
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From Data Integration to Analytics in Action

Why Espresso? Our new webinars are strong, short, and with immediate effect – like an espresso. We don't want to bore you with frothed milk, we want to get straight to the point. Whether data integration, GeoAnalytics, Alerting, or AI - our experts explore a new topic each week - in 30 minutes. We will provide you with quick overviews, use cases & tips that you can implement when working with Qlik products; and because the webinar is live, you can ask questions if you need more information.
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Expert Panel: Modernizing Your Data Warehouse and Analytics Ecosystem

TDWI research has found that organizations are increasingly modernizing their data warehouse environments. Often the current environment is not sufficient to support new analytics initiatives or they need to support new data types for analytics. Many enterprises are moving to the cloud as part of this journey. In fact, cloud data warehouses and cloud data lakes are already mainstream. The popularity of automated tools is growing as environments become more complex.
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