Packed Lunch Webinar Series

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized repository. But this approach is slow and expensive, and sometimes not even feasible.

Business users feel that self-service today is more complicated than expected and spawns more requests to IT than ever before. Data is diverse, distributed in many locations and on many platforms and has quality issues.

The Virtual Sandbox is an overarching framework to support the enterprise-scale roll out of data science programs using the industry standard, CRISP-DM methodology.

Attend this session to learn how Data as a Service, fueled by data virtualization, overcomes the common data integration challenges.

Self-service initiatives are successful when business users’ views of the data are holistic and consistent across distinct business functions as enabled by Universal Semantic Model across multiple analytical/BI tools.Attend this session to learn how data virtualization:Is the best fit technology to enable the Universal Semantic ModelAccelerates self-service BI initiativesProvides a holistic view of the dataAgenda:Data virtualization for self-service analyticsProduct demonstrationSummary & next stepsQ&AVisit the Packed Lunch Webinar Series page for details on all the sessions.

A complete view of the customer encompasses a single view of the customer, the customer’s relationships, and the customer’s transactions and interactions, resulting in increased customer satisfaction and retention as well as increased revenue through up-sell and cross-sell opportunities.Attend this session to learn how data virtualization supports complete view of the customer by:Facilitating integration of master data with any other data throughout the enterpriseProviding real-time data access to the complete customer view, for any individual or organization across the company.Reducing data...