Organizations are increasingly becoming dependent on accurate and timely information to remain competitive in their core businesses. Probably this is why it is often assumed in businesses starting their first Data Science or AI projects, that Data Science is the same old Business Intelligence that works much more cleverly. This brings time-saving into analysis and lets the businesses analyze and derive actionable insights more efficiently.
Business analytics shouldn’t be a linear process because answering one question will likely lead to follow-up questions and iteration. It works by utilizing a process such as ETL to extract, transform, and load data into a database for use in reports and data dashboards.
It can integrate with all software ecosystems, eliminating the need to use various data processing systems. Therefore, any ardent database management expert out there should understand the critical role that such applications play in any organisation. The well-designed BI applications can offer employees the ability to make better business decisions quickly, understand the various “information assets” in their business and how they interact.
This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. With BI software, companies can aggregate different data sources for a fuller picture of what is happening with their business.
Sheets users can then make sense of that data with spreadsheet formulas or perform deeper analysis with features like Explore, pivot tables, and charts. Excel is a form of business intelligence tool, as it allows for the analysis of business information. Various data analysis methods are imbedded into various applications.