Importance of Data

Data is the foundation of almost every decision we make, whether personal or professional. Without data, choices are based on guesswork; with data, they become informed, measurable, and often reveal patterns that are invisible to the naked eye. The textbook explains this through a range of everyday examples, from banking to weather forecasting to business strategy.

Why data matters in daily life

When you withdraw money from an ATM, the bank must instantly debit that amount from your account. This is only possible because the bank maintains accurate, up-to-date data on every transaction. Similarly, meteorological offices continuously monitor satellite data to detect early signs of cyclones or heavy rainfall — data that can save lives by enabling timely warnings.

In the world of artificial intelligence, a knowledge base is a store of information that includes facts, assumptions, and rules. An AI system uses this knowledge base to make decisions, much like a human expert would.

Data in business and commerce

In a competitive business environment, companies must constantly monitor and analyse market behaviour. They study how customers respond to their products and then adjust their offerings or services accordingly. This is not a one-time activity — it is an ongoing cycle of data collection, analysis, and action.

Two powerful examples of data-driven decision-making are:

• Dynamic pricing used by airlines and railways. They set ticket prices based on the relationship between demand and supply. When demand is high, prices rise; when demand is low, prices drop.
• Cab booking apps increase or decrease fares at different times of the day, depending on how many people are requesting rides versus how many cabs are available.
• Restaurants offer discounted prices during "happy hours". They decide when and how much discount to offer by analysing sales data from different time periods.

Other important scenarios where data is stored and analysed

• Elections: Electronic voting machines record votes. After voting ends, data from all machines is accumulated to declare results much faster than manual counting of ballot papers.
• Scientific research: Scientists record data while conducting experiments, then calculate and compare results to draw conclusions.
• Pharmaceutical companies: They record data while testing a new medicine to evaluate its effectiveness and safety.
• Libraries: They maintain data about books (titles, authors, availability) and membership details (borrowers, due dates). …