ON-DEMAND WEBINAR PANEL

How to Operationalize Data From Multiple Sources to Deliver Actionable Insights at Scale

FEATURED SPEAKERS | DATA & ANALYTICS LEADERS
Jeff Ho SafeGraph
Jeff Ho

Technical Product Manager at Safegraph
Lorn Davis Facteus
Lorn Davis

VP, Corporate & Product Strategy at Facteus
claire obrien aws data exchange
Claire O’Brien

Retail & Consumer Goods Lead at AWS Data Exchange
fabiana daddario similarweb
Fabiana D’Addario

Senior Client Success Analyst at SimilarWeb
Daniel Gray
Daniel Gray

VP, Solutions Engineering at AtScale

Your Moderator

Watch Now

Learn how to blend various datasets together from top data providers in AWS Data Exchange like SafeGraph, Facteus, and SimilarWeb with internal data to innovate and make smarter decisions at scale.
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Now available on-demand!

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions.

Join this webinar to learn how to blend Geospatial data (from SafeGraph), Financial Market and Transaction Data (from Facteus), & Global Websites Visit and Engagement KPIs (from SimilarWeb) together to enrich, augment, and improve self-service analytics as well as predictive models.

Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources together.

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In this webinar

You will learn about:

  • Blending various high quality third-party datasets with internal data
  • Extending analysis-ready data to all of your business stakeholders at scale
  • Leveraging metadata (labels, annotations) for deep dimensional analysis
  • The value a semantic layer brings to make data more accessible to data scientists and BI users in their tools of choice
  • Real-world examples of data initiatives from AWS Data Exchange, SimilarWeb, Facteus, and SafeGraph customers
  • Leveraging technologies including Amazon SageMaker & Redshift, Microsoft Power BI & Excel, and AtScale
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Who should watch

Chief Data Officers, data scientists and engineers, business intelligence, and analytics professionals and leaders.

Contributors Include

Jeff Ho SafeGraph
Jeff Ho

Technical Product Manager at Safegraph

Jeff Ho is a Technical Product Manager at SafeGraph. His professional background is in Data Science and Product, having worked in data-driven advertising, remote sensing, and natural disaster monitoring. He received his PhD in Civil & Environmental Engineering from Stanford University, where he developed new methods using satellite imagery to understand the ecosystem impacts of climate change.
Lorn Davis Facteus
Lorn Davis

VP, Corporate & Product Strategy at Facteus

Lorn is an industry veteran with deep experience in corporate and product strategy, as well as operations. Prior to joining Facteus, Lorn lead operations at SeraCare Life Sciences.
claire obrien aws data exchange
Claire O’Brien

Retail & Consumer Goods Lead at AWS Data Exchange

Claire oversees the Retail & Consumer Goods verticals for AWS Data Exchange. In this role, Claire is responsible for helping industry-leading providers grow their business through AWS Data Exchange and helping data subscribers discover and use 3rd party data on AWS.
fabiana daddario similarweb
Fabiana D’Addario

Senior Client Success Analyst at SimilarWeb

Fabiana is a Sr Client Success Analyst at Similarweb who serves as a product expert, educator, and consultant to our Investor and CPG customers. She graduated from the University of Southern California with a degree in International Relations Global Marketing and a minor in Advertising. She has spent the past six years in the ad tech, marketing tech, and market intelligence spaces and is obsessed with all things technology, eCommerce, investing, and product.
Daniel Gray
Daniel Gray

VP, Solutions Engineering at AtScale

Daniel Gray brings rich experience in technical solutions engineering as well as software engineering to his work with global enterprise organizations. Prior to joining AtScale to lead the Solutions Engineering team, Daniel spent many years in the analytics space including Hewlett-Packard’s Advanced Technology Center, Vertica, and Domino Data Lab. When he’s not in the office or onsite with customers, you’ll find Daniel running, climbing, hiking, and biking – basically anything outdoors.