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We can safely say that chatbots will have the power to restructure business processes, enable easier communication between humans and data while ensuring that chatbot technologies such as natural language processing will bring added value to companies. Graph Analytics.
That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-qualitydata or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor dataquality management currently costs businesses a combined total of $9.7 million per year.
The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with dataquality. We wonder why data people are not loved. :). I believe these two posts with a collection of some of my favorite metrics will inspire you: 1.
I believe the focus would align to governance policies that are in focus: quality, privacy, security, retention, access and ethics, etc. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketinganalytics, sales analytics, healthcare, etc.
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