Big data

In this lesson

1. 0:00 Big data challenges in modern organisations
2. 1:13 Understanding big data characteristics
3. 2:14 Five key dimensions of big data
4. 4:27 Structured, semi-structured, unstructured data
5. 7:22 Descriptive analysis and data understanding
6. 8:42 Inferential analysis and hypothesis testing

About this lesson

This lesson covers the five key characteristics of big data—volume, variety, value, veracity, and velocity—and explores three data types: structured, semi-structured, and unstructured. You'll discover how to apply descriptive and inferential analysis to uncover patterns, trends, and correlations that drive smarter business decisions, from identifying new customer segments to optimising supply chains and marketing spend. Big data presents both a significant challenge and opportunity for modern organisations. With data collection points spanning manufacturing processes, financial transactions, customer interactions, and employee relationships, businesses accumulate massive datasets that are difficult to manage and analyse. The real skill lies in transforming this raw data into meaningful information that management can use to make informed decisions. This video shows you how organisations harness big data using software models and analytical techniques to extract genuine business value. Understanding data characteristics is essential. Structured data like financial transaction exports in Excel is straightforward to analyse because it follows a defined format. Semi-structured data, such as company email repositories, has some organised elements (sender, date) but unstructured content (email body, attachments) that requires more sophisticated analysis. Unstructured data like video content is the most challenging to work with. Once you've categorised your data, you can apply two types of analysis: descriptive analysis to summarise patterns and distributions, and inferential analysis to test hypotheses and predict future outcomes—whether that's forecasting sales trends, testing discount strategies, or making election predictions.

Duration: 10m