Name: How to Use a Semantic Layer and Data Lakehouse to Scale Analytics for Everyone
Start: 2023-02-14T19:00:00Z
End: 2023-02-14T19:00:45.000Z
Location: BrightTALK
Rating: 0

AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI and build a more agile analytics infrastructure for better, more impactful decision making. For more information, please visit www.atscale.com.

See first-hand how with Tableau’s Visual Analytics & AtScale’s Semantic Layer you can enable actionable insights for everyone and streamline data and analytics access throughout your organization.

You will learn about:
* Simplifying self-service BI sourcing from numerous data systems
* Enabling reliable access to the same data from different teams for accurate reporting
* Providing dimensional analysis capability that accelerates performance with no need to extract data from the cloud data warehouse
* Maintaining a single source of governed metrics and business data
* Delivering critical business data to users faster than ever

How to Deliver Self-Service BI at Enterprise-Scale

Get practical advice from Data & Analytics Leaders from Siemens, West Bend Mutual Insurance, & more on how to improve data accessibility & time-to-insights in your organization. 

Featuring:
Michael Taylor, Chief Data Scientist at Siemens
Spencer Tabbert, Director Of Analytics at West Bend Mutual Insurance
Jordan Morrow, VP & Head of Data and Analytics at BrainStorm, Inc.

How to Improve Data Accessibility and Time-to-Insights

Learn about Rakuten, one of the largest loyalty programs in the US, and their mission to enable its employees to derive insights from company data faster, with more security, governance, and agility, using AtScale’s Semantic Layer while leveraging the speed and scalability of their Data Cloud, Snowflake.

Join Rakuten's VP of Analytics, Mark Stange-Tregear, as he discusses how Snowflake and AtScale are being leveraged to deliver data agility and lightning fast query performance in the cloud all while automatically optimizing Rakuten’s analytical workloads.

How to Deliver Speed-of-Thought Analytics at Scale With a Data Mesh in the Cloud

Join leaders from Visa, Cigna & Amazon for presentations on how they are accelerating business outcomes with AI & BI across their organizations. 

You’ll learn how they are leveraging Machine Learning and Big Data Analytics to drive business value. They will dive deep into their strategies to define goals, hypotheses, questions, and KPIs that will help their companies identify and measure the best areas of impact for AI & BI.

Our panelists will share practical guidance on how they are working to close gaps between data science and BI teams to combine predictive analytics with descriptive analytics in a single platform to develop sustainable business outcomes.

Featured speakers:

Juan Gorricho, VP of Global Data & Business Intelligence at Visa
Ram Kumar, Chief Data and Analytics Officer at Cigna
Greg Coquillo, AI Technology Manager at Amazon
David Mariani, CTO and Founder, AtScale

How to align AI & BI to Business Outcomes

Watch this Tech Talk to learn how to use a Semantic Layer and Data Lakehouse to scale actionable insights for everyone and align AI & BI teams to Business Outcomes.

In this Tech Talk you will learn about:

* Using a Data Lakehouse to deliver a modern, scalable analytics platform
* Using a Semantic Layer to accelerate BI and data science business impact
* Empowering business decisions and improving self-service BI with a data lakehouse and semantic layer
* How Databricks & AtScale partner to scale actionable insights for everyone

How to Use a Semantic Layer and Data Lakehouse to Scale Analytics for Everyone

Data Analytics

Data Lake

Databricks

Business Intelligence

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How to Use a Semantic Layer and Data Lakehouse to Scale Analytics for Everyone

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