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Using Self-service Analytics to Build Strong Data Teams

Mon, Apr 23 2018 12:00 Central Daylight Time

RSVP: None

Using Self-service Analytics to Build Strong Data Teams

We understand that organizations like yours are looking for more efficient ways to tap into the data generated by your marketing and sales efforts, customer engagement, back-end operations, and more. If you want your business to be data-driven, you’ve got to strategically synthesize and analyze all of this data to turn it into actionable business intelligence. During this webcast, Quest product manager, Julie Hyman will explain the differences between full-service and self-service analytics, making the case for self-service as a way to eliminate analytic silos and data bottlenecks. And, you’ll discover how the Toad solution helps create strong data teams: • Non-technical business users can connect to nearly any data source. • Users can standardize best analytics practices using a collaborative platform. • Data teams can publish workflows and share information. • Analysts can present fully prepped data to the rest of the business.


Julie Hyman

Julie Hyman is a Sr. Product Manager for Quest Software. With 20+ years of experience in Development, Project Management and Product Management, Julie currently manages Toad Solutions, including Toad Data Point, Toad Intelligence Central and the new Toad Edge, among others.

Follow us on Twitter: @PASSBAVC | Contact us: PASSBAVC@SQLPASS.ORG
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