Data analytics
You'll learn how data analytics transforms raw information into actionable business insights, a key topic for APM and management accounting decisions.
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In this lesson
- 0:00 Introduction to big data and analytics
- 1:51 Five Vs of big data framework
- 3:34 Big data applications in management accounting
- 4:34 Data analytics methods explained
- 6:03 Descriptive analytics techniques
- 7:06 Regression analysis and correlation
- 10:31 Predictive analytics and forecasting
- 15:19 Alternative analytics methods
- 19:36 Data warehouse case study assessment
About this lesson
This 24-minute lesson covers big data fundamentals—the five V's (volume, velocity, variety, veracity, value)—and three core analytical methods: descriptive (what happened), diagnostic (why it happened), and predictive (what might happen). You'll explore practical techniques including regression analysis and correlation, understand how to interpret results, and see how these tools support forecasting, pricing, inventory management, and strategic decisions. The session includes a worked example on using regression analysis for sales forecasting and an exam-style case study on evaluating opportunities and risks of implementing a data warehouse system.
Duration: 25m
Transcript
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