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Additionally, the Python ecosystem is flush with open source development projects that maintain the language’s relevancy in the face of new techniques in the field of data science. It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptiveanalytics in the name of business intelligence.
BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptiveanalytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.
Use the experts in analytics to add value to your product. Let’s just give our customers access to the data. You’ve settled for becoming a datacollection tool rather than adding value to your product. Metadata Self-service analysis is made easy with user-friendly naming conventions for tables and columns.
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