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Data Virtualization can include web process automation tools and semantic tools that help easily and reliably extract information from the web, and combine it with corporate information, to produce immediate results. How does Data Virtualization manage dataquality requirements? Prescriptiveanalytics.
The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptiveanalytics. “As For that, he relied on a defensive and offensive metaphor for his data strategy. The offensive side?
A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with dataquality, and lack of cross-functional governance structure for customer data.
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On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptiveanalytics, ex marketing analytics, sales analytics, healthcare, etc. where performance and dataquality is imperative? Yes, prescriptive and predictive analytics remain very popular with clients.
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