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Jun 26 Webinar: Noise to Signal – The Biggest Problem in Data

By   /  June 10, 2018  /  No Comments

DATE: June 26, 2018, This webinar has passed. The recording is available On Demand.

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

This webinar is sponsored by

About the Webinar

Our ability to produce, ingest and store data has grown exponentially, but our ability to parse out insights from data has not. In the 90s, an organization’s data would live in a data warehouse with an ETL pipeline and one reporting layer on top. Information was well controlled if not somewhat limited in breadth and slow to trickle down. Now with the onset of self-service analytics, anyone can create a report and an insight and there are many different sources of “truth.” For example, a seemingly straightforward question like “how many customers do we have?” will likely return difference answers from sales, finance and customer success, depending on their definitions and the data at hand. There is simply too much data (and duplicate data), too many tools, and too many systems storing data — leading to time consuming searches, confusion and a lack of trust. Satyen Sangani, CEO of Alation, will discuss how a data catalog can help solve the noise to signal problem – making information easier to find, easier to understand and more trustworthy. He will describe how organizations like Safeway, Albertsons, Munich Re and Pfizer leverage a data catalog to find data and collaborate on data, gain a fuller understanding of its meaning and ultimately, solve important problems.

About the Speaker

Stephanie McReynolds

Vice President of Marketing

With over 15 years of data infrastructure and application experience, Stephanie has a track record of bringing new technologies to market and into the hands of business analysts. Stephanie is currently the Vice President of Marketing at Alation. Prior to Alation, Stephanie was instrumental in building the first marketing team at the self-service data preparation provider Trifacta. She previously held senior product management positions at a number of data companies including Teradata, Aster Data and Oracle. Stephanie earned both bachelor’s and master’s degrees from Stanford University.

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