When a CEO or other C-level exec wants answers, he or she typically wants them yesterday. Since we can’t change the properties of space or time, the next-best-solution, so many of us believe, is to develop real-time analytics tools, such as real-time dashboards, to keep executives and other VIPs up-to-date on how the business is performing. This way, executives don’t even have to ask. The data required is displayed on their laptops, whizzing by at real-time speed.
But are such real-time analytics tools really the best way to provide executives and others with actionable intelligence? How much information can someone absorb by watching a stream of high-velocity data? Executives say they want real-time analytics, but they may be better served by, for example, event-oriented insights that surface only when action is required. In fact, there are a number of considerations to real-time analytics - including just defining what the business means by “real-time.” In this episode of Pivotal Insights, Jeff Kelly and Dormain Drewitz grapple with the thorny issue of real-time analytics and how to make the right business and architectural decisions to support your organization's analytics needs.
Show Notes
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Visit http://pivotal.io/podcasts for show notes and other episodes.
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Download the episode and check us out on SoundCloud, subscribe to the feed directly, or on iTunes to have it automatically downloaded for you.
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Twitter: @jeffreyfkelly and @dormaindrewitz
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Feedback: podcast@pivotal.io
News and Resources
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Announcing Spring Cloud Data Flow 1.1: Cloud-Native Architecture for Enterprise Data
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Scoring-as-a-Service To Operationalize Algorithms For Real-time
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Purdue Leverages Real-Time Analytics to Improve Student Outcomes
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