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Available On-Demand - This webinar has been recorded and is now available for download.

Easing the Path from Cloud Data Lakes to Visual Analytical Insight

Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI

Date: Tuesday, June 25, 2019

Time: 9:00 a.m. PT, 12:00 p.m. ET

Cloud services, data integration, and data exploration come together for faster marketing analytics and support for key business use cases.

Business intelligence tools and data platforms have evolved, but it’s still too difficult for executives, managers, and frontline users in marketing, sales, and other key functions to quickly and easily access data to fuel analytics and accelerate daily decisions. The reasons are often well understood: too many diverse data sources, long, error-prone processes for ingesting and preparing the data, and too much expertise required to query the data and get results. To keep pace with growing business demands to use data effectively, organizations need better solutions.

Fortunately, cloud data services, new technologies, and best practices for data ingestion, integration, and visual analytics are coming together to enable organizations to break out of the doldrums. Join this TDWI Webinar to learn how you can benefit from innovations that will unleash users and drive better decisions.

In this webinar, you will learn:

  • How organizations can address pain points and overcome delays enabling access and analysis of diverse data, including insights from TDWI Research
  • How new options are maturing for faster ingestion of data into cloud-based data lakes and repositories, faster preparation and integration, and easier visual querying and analysis
  • Demonstration of cloud-based technologies and services from Looker, Qubole, and Talend for improving speed and ease of data access, integration, and analysis
  • How you can position your organization to take advantage of what’s next in cloud-based data and analytics services to support expansion of data science and self-service BI

David Stodder

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