Data analytics tools can help deliver that value and bring that data to life. A lot of hard work goes into extracting and transforming data into a usable format, but once that’s done, data analytics can provide users with greater insights into their customers, business, and industry.
There are three broad categories of data analytics that offer different levels of insight:
• Traditional Business Intelligence (BI) provides traditional, recurring reports.
• Self-Service Analytics enable end-users to structure their own analyses within the context of IT-provided data and tools.
• Embedded Analytics provides business intelligence within the confines of a traditional business application, like an HR system, CRM, or ERP. These analytics provide context-sensitive decision support within users’ normal workflow.
If you’re not using an analytics tool, you should be. Gartner predicts that by 2020, self-service analytics and BI users will actually produce more analysis than data scientists. No m
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