- Describe the purpose and uses of Business Intelligence & Big Data in the business world today
- Build a dataset based on gathering data from multiple sources and merging those databases into a single unified set
- Identify key risk issues involved in Big Data and the role that information governance plays.
- Identify the terminology used in Big Data and quantitative analysis programs in general
- Clean a database through automated methods like winsorizing and evaluation of univariate metrics to determine accuracy of inputs
- You should be familiar with basic statistics and basic business concepts
Business intelligence is an important new tool for modern businesses. Technological advancements can now give businesses ways to analyze data that they could never do before. With such advances, organisations can make decisions more effectively about pricing, marketing, products and more than they have ever been able to in the past.
Major corporations are starting to use BI to determine what
products should be advertised to specific customers & to more efficiently
run the industrial maintenance schedules. Business intelligence is useful in
many such settings and a lot more.
You will gain the skills to improve performance using data,
statistical & quantitative analysis & predictive modeling to make
important decisions.
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