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Home / Talks / Become a Synthesis Savant – From Messy Data to Meaningful Insights

Become a Synthesis Savant – From Messy Data to Meaningful Insights

Sarah Flamion
Kellie Carter

2020 Main Conference Talk

Description

Overwhelmed trying to uncover something meaningful from messy enterprise data? Today’s decision-makers are deluged with data, which is likely structured inconsistently and pulled from multiple functional teams or problem spaces. Questions are constantly evolving, and the boundaries between projects may be indistinct. Hone your skills as a Synthesis Savant to succeed amidst the chaos. Join us to learn effective techniques for finding insights within the complexity and creating compelling stories to illuminate these in your organization.

Key takeaways from the session:

Attendees will walk away with tested techniques for finding and communicating meaningful insights based on the assortment of data available at their enterprise.


About the speaker(s)

Sarah Flamion is currently a Research Architect at Salesforce, where she has also led several research teams. Prior to Salesforce, she worked at other large enterprise organizations and has experienced first-hand the very real challenges and opportunities they face. Along with a background in technology, she combines business perspective and research techniques to help enhance and innovate on long-established products, as well as bring to market entirely new concepts. She particularly enjoys helping organizations embrace, clarify, and humanize complexity… the messy problems are always the most interesting! She currently resides in Indiana with her husband and three daughters.


Kellie Carter works as a product research lead at Salesforce. Her primary focus includes platform data, integration, and privacy products. You can often find her geeking out on the technical nuances of data federation and customer 360 applications or giving talks on data quality and governance at Dreamforce. One area she’s most passionate about is enabling people on data and helping more people become citizen data scientists.


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