Covering the essentials of business intelligence, explore the features & functions for an overview.
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Descriptive Analytics, a preliminary stage of data processing, exemplifies retrospective analysis that drills through the past behaviors and provides an insight into the future outcomes. Descriptive Analytics, famously known as Business Intelligence (BI), is used by many organizations to study past experiences by summarizing the raw data. This basic form of analytics uses business reporting through not only examining the past, but also in providing an approach for the future.
While using data mining and data aggregation techniques in descriptive analytics may shed some light on what has already happened and what is currently happening, data visualization and additional querying are needed to achieve deeper insights.
Descriptive analytics come into picture when an aggregation is needed to filter historic data and analyze the performance of a company at an aggregate level.
Real World Examples:
Manufacturing – By analyzing past sales and inventory stock, manufacturing companies can inform the decision to expand their inventory by assessing the knowledge gained from this form of descriptive analytics.
Related Thought Leadership Content
As described above, Business Intelligence (BI) is being used to make data and insights-driven decisions across business operations. With the right BI solution, it is possible to make more informed decisions to scale revenues, reduce costs and streamline operations.
Read this blog titled ‘AirQuery BI solution explained with use cases to understand how modern companies are using next-generation BI tools to drive business performance.
Visit here for more: https://www.airquery.com/blog/airquery-bi-solution-explained-with-use-cases