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Priyanka M, 23COMG14; Shri Shakthi R, 23COMG17; Rakshitha R, 23LSCG33, BCom VI Sem G, Department of Commerce, Kristu Jayanti University, Bengaluru, India |
Business Analytics is an important part of modern business.
It helps organizations understand their data and make better decisions.
By leveraging business analytics, companies can enhance performance, mitigate risks, and boost profits. It is widely used in finance, marketing, HR, and operations.
Business Analytics is the process of collecting, analyzing, and interpreting data to support business decision-making. It uses data, statistical tools, and models to find helpful information and patterns. The primary goal of business analytics is to enable management to make informed and timely decisions.
TYPES OF BUSINESS ANALYTICS:
There are four main types of Business Analytics:
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
1. Descriptive Analytics:
Meaning: What happened in the past
Descriptive analytics focuses on historical data to understand past performance.
It summarizes data using reports, charts, and dashboards.
Examples:
Sales reports
Profit and loss statement
Monthly attendance report
2. Diagnostic Analytics:
Meaning: Why did it happen
Diagnostic analytics analyzes data to find the reason behind success or failure.
It helps identify problems and their root causes.
Examples:
Finding reasons for the decrease in sales
Analyzing reasons for high employee turnover
3. Predictive Analytics:
Meaning: What is likely to happen in the future
Predictive analytics uses past data and trends to forecast future outcomes.
It helps businesses prepare for future opportunities and risks.
Examples:
Sales forecasting
Predicting customer demand
Estimating future profits
4. Prescriptive Analytics:
Meaning: What should be done
Prescriptive analytics suggests the best action to take.
It helps management in decision-making by recommending solutions.
Examples:
Deciding the optimal price to maximize profit
Recommending how much inventory to reorder and when
IMPORTANCE OF BUSINESS ANALYTICS:
1. Improves decision-making
2. Helps in planning and forecasting
3. Reduces business risks
4. Increases efficiency and profitability
5. Supports competitive advantage
Business Analytics plays a vital role in today’s data-driven business environment. Different types of analytics help organizations understand the past, analyze problems, predict the future, and take correct actions. By using business analytics effectively, companies can achieve growth, efficiency, and long-term success.