What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics

張岳庭

D0741017

Source: https://insidebigdata.com/2020/05/05/top-10-insidebigdata-articles-for-april-2020/

This article explains three different types of big data concepts individually.

Business Intelligence they describe as a cooked food that showed everything is done already. BI can do a lot of things like Graphics and charts, Written reports, Spreadsheets, Dashboards, Presentations and Insights shared at meetings. According to the article “Information can be fed into analytics packages from warehouses. It then comes out of the analytics software and is routed back into storage and also into BI.” Data Warehouse will keep informed of any data or chart. The article shows that “Reports, charts, daily states of dashboards and spreadsheets may all go into the warehouse for permanent records-keeping, legal, historical and auditing purposes.” Data Analytics needs to use a lot of statistics and programming ability. It can work on Linear regression, Bayesian analysis, Frequency studies, Network analysis, Hypothesis testing, Clustering and Correlation. Christopher Rafter said that “Good business intelligence usage can ensure that information gets into the hands of decision-makers and powers a data-driven culture.”

To me, Data Analytics is very difficult and needs many concepts to get the answers. At the end of the article said that “ Good business intelligence usage can ensure that information gets into the hands of decision-makers and powers a data-driven culture.”

Comments

  1. JimmyMay 25, 2020 at 12:06 AM

    Nice sharing! Big data not only provides a large amount of data for users to integrate from, but also provides simulation of charts
    Adding mathematical analysis can more accurately integrate the data to the supervisor.

    ReplyDelete

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