High impact use cases for data virtualization driving business value in the Insurance sector

Customer data, claims data, actuarial data, financial data, risk data…etc. Insurance companies want to become better at leveraging wealth of data for real business insights and actions. However how can you leverage it to gain competitive advantage if this data is locked away in technology silos and cannot be accessed in a timely and consumable fashion when needed...
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Spotlight

OTHER ON-DEMAND WEBINARS

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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SAP & CDQ Master Data Governance: One-Click onboarding of business partners using external data.

SAP and CDQ have joined forces to deliver a solution for efficient, accurate and quick business partner creation. Forget all the manual googling and document mining to get automated, reliable data. In this webinar, you get an opportunity to learn how this new standard of integrating external data into the SAP Master Data Governance can improve productivity and data quality for your organization.
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Big Data and Analytics in Pharma

FirstWord Pharma

Pharma has had access to Big Data for quite some time now, but the data is only useful if you know what to do with it. That’s something pharma companies are just starting to figure out. This webinar will help you get up to speed faster by discussing ways pharma companies can harness the astonishing amount of data they collect to build a lasting competitive advantage.
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How Data Governance Helped Genworth Financial to See Data as an Asset

One of the biggest misunderstandings about data governance? An assumption that you need data governance only because you’re working with inherently low-quality or low-value data. The data governance team at Genworth Financial focused on changing the way the organization thinks about governance in order to improve how it captures, stores, transforms, analyzes, and presents data—which in turn unlocked their data’s full value.
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