- Business analytics is usually grouped into four types - descriptive, diagnostic, predictive and prescriptive
- US pay stays strong in 2026: business analysts average about $90,700 a year (Indeed), and operations research analysts have a median of $91,290 (US Bureau of Labor Statistics)
- Demand for analytics skills keeps growing across healthcare, finance, supply chain and marketing.
What Is Business Analytics?
Business analytics is the practice of studying business data - collecting, cleaning, modelling and interpreting it - to turn raw information into useful insight. Using statistical methods, machine learning and optimisation, it helps organisations spot patterns, predict outcomes and recommend actions that improve productivity, efficiency and decision making.
Business analytics builds on business intelligence (BI). Where BI focuses on acquiring, organising and reporting on past or present events, analytics goes further - recognising patterns, building models to explain what happened, predicting future events and recommending the best actions to take.
Analysts use quantitative analysis, statistics, computer science, operations research and information systems to engineer data-driven solutions. From this information they can predict future events tied to consumer behaviour or market trends and suggest what will drive an organisation towards its goals.
MS in Business Analytics abroadRead →What Are the Main Types of Business Analytics?
Analysts usually group business analytics into four types. Descriptive analytics summarises what happened, diagnostic analytics explains why it happened, predictive analytics forecasts what is likely to happen next, and prescriptive analytics recommends the best action to take. Most organisations combine all four to move from raw historical data to confident, forward-looking decisions.
- Descriptive analytics - reporting, scorecards and dashboards that show what happened
- Diagnostic analytics - drilling into data to find why it happened
- Predictive analytics - statistical and machine-learning models that forecast future outcomes
- Prescriptive analytics - optimisation and simulation that recommend the best action
What Are the Key Components of Business Analytics?
A business analytics workflow has four core components. Data aggregation collects, centralises and cleans data so it is reliable. Data mining uncovers hidden patterns. Data visualisation presents findings as clear, interactive graphics. Optimisation then identifies the best-case scenarios, helping companies act on demand, pricing and promotions to protect revenue and efficiency.
- Data aggregation - collecting, centralising and cleaning data from volunteered sources and transactional records, removing duplicates before analysis
- Data mining - revealing unknown past patterns using clustering, classification and regression
- Data visualisation - turning statistical predictions, exploratory analysis and model output into interactive graphics
- Optimisation - finding best-case scenarios such as demand-based pricing, steady revenue flow and timing promotions or new product launches
Which Domains Use Business Analytics?
Business analytics is applied across almost every industry. Common domains include marketing and retail sales analytics, customer journey and behavioural analytics, supply chain and pricing analytics, financial services, risk, credit and fraud analytics, healthcare analytics, telecommunications and talent analytics. Each domain uses the same core methods to answer questions specific to that sector.
- Market basket analysis
- Behavioural analytics
- Customer journey analytics
- Cohort analytics
- Transport analytics
- Collections analytics
- Telecommunications analytics
- Cyber analytics
- Talent analytics
- Enterprise optimisation
- Financial services analytics
- Supply chain analytics
- Risk and credit analytics
- Fraud analytics
- Retail sales analytics
- Healthcare analytics
- Pricing analytics
- Marketing analytics
How Do You Become a Business Analyst?
Most business analysts hold an undergraduate degree in a field such as computer science, business information systems, business management or statistics, and many add an MBA or a specialised analytics course. Practical skills in data handling, SQL, visualisation tools and problem solving matter most. Online and offline courses both build these skills effectively.
A practical path is to build a strong quantitative foundation, learn data and visualisation tools, then apply them to real projects. Networking and internships help you convert classroom skills into the business judgement employers look for.
What Salary Can a Business Analyst Expect?
In the United States, business analysts earn competitive pay. As of 2026, Indeed reports an average base salary of about $90,700 a year for a business analyst, while the US Bureau of Labor Statistics lists a median of $91,290 for the closely related operations research analyst role. Pay rises with experience, industry and location.
| Analytics Role (2026) | US Pay | Source |
|---|---|---|
| Business analyst | About $90,700 average base | Indeed (2026) |
| Operations research analyst | $91,290 median | US BLS (May 2024) |