Language:
English
Pages:
1 online resource (1 video file, approximately 3 hr., 39 min.)
Edition:
1st edition
Keywords:
Electronic videos
Abstract:
Sponsored by Intel and Bigeye Businesses in every industry strive to turn data into optimal decisions—a challenge that’s grown even more complex in these uncertain times. So how can organizations better translate their data into actionable insights? The ability to quickly collect, analyze, and visualize your data to make data-driven business decisions is imperative to building an effective data strategy. And we can now do business analytics that reflect your data in near real time. But are you taking advantage of those capabilities? Join us to learn more about the latest trends in data that are powering growth, increasing efficiency, and optimizing business decisions. About the Strata Data Superstream Series: This recording of a four-part series of half-day online events gives viewers an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you’ll learn and how you can apply it Learn the best practices for data visualization and storytelling that you can apply to your work today Discover how advances in technology can make decision intelligence faster, more comprehensive, and more actionable Get up to speed on contemporary approaches to data privacy that boost “safe” data consumption, as well as on metrics that can drive an organization’s journey toward data maturity Explore the latest in mobile analytics and how to make your data culture more mobile friendly This recording of a live event is for you because… You want to explore the latest trends in data analytics for better business decision-making. You want to become a data advocate for your organization through the power of data visualization. You’re a data scientist or business analyst who wants to move from static tables and reports to actionable analytics. Recommended follow-up: Read Lean Analytics (book) Read Behavioral Data Analysis with R and Python (book) Read Advancing into Analytics (book) Read Python and R for the Modern Data Scientist (book) Read Communicating with Data (book)
Note:
Online resource; Title from title screen (viewed November 9, 2021)
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Mode of access: World Wide Web.
