What if a company could identify falling demand, an unprofitable customer segment or a stock problem before it reached the monthly review?
Data analytics makes that possible by turning operational, financial, and customer data into information managers can use while a decision is still open. It is changing business planning in five key areas: forecasting, customer analysis, pricing, operational control and risk assessment.
This shift also changes what business students need to learn. At Manipal University Jaipur, commerce and business programmes include subjects that connect accounting, statistics, data visualisation and newer analytical tools with business decisions.
Executives no longer want analytics teams to produce dashboards simply for reporting. They want the numbers to answer a business question.
The State of Enterprise Technology Survey 2025 covered more than 350 CIOs and CTOs from enterprises with annual turnover above ₹5,000 crore. Every enterprise surveyed, 100%, cited better decision-making through insights as its top AI priority.
That tells students and managers something useful. Technology earns budget when it improves the quality or speed of a decision.
The effect becomes clearer when analytics is linked to everyday commercial choices rather than treated as a technical department.
Traditional planning often starts with previous sales and adjusts them up or down. Analytics can bring seasonality, customer behaviour, location, inventory and recent sales patterns into the forecast.
A retailer, for example, can examine which products rise before a festival rather than ordering the same quantity across every category.
Two customers who buy the same product may have completely different buying patterns.
Analytics can separate customers by purchase frequency, order value, product preference, response to promotions or churn risk. Teams can then spend marketing budgets on groups that justify the cost.
A Business Standard report on consumer-data usage found that 78% of marketers reported better marketing efficiency after using consumer data.
The useful part is not having more customer data. It is knowing what action to take from it.
Discounting can increase sales and still reduce profit.
Analytics gives managers a clearer view of margins, price sensitivity, competitor movement and customer response. Instead of asking whether a 20% discount increases orders, teams can check whether it produces enough additional contribution after the discount.
That difference is important in retail, hospitality, e-commerce and subscription businesses.
A dashboard showing yesterday’s problem has limited use. Businesses increasingly want warning signals.
Inventory teams can identify slow-moving stock. Operations managers can track delays. Finance teams can flag unusual expenses. Supply teams can compare vendor performance.
The result is an earlier response rather than an explanation after the loss has happened.
Business risk is rarely confined to finance. Customer concentration, payment delays, supplier dependency and unusual transaction patterns can all create exposure.
Analytics helps decision-makers see those patterns together. A finance manager may notice that revenue looks healthy while receivables are rising, which changes the interpretation of performance.
The practical change can be seen in how managers use information before making a call.
| Business Area | Traditional Approach | Analytics-Led Approach |
|---|---|---|
| Sales | Review past totals | Forecast demand by product or region |
| Marketing | Track campaign reach | Compare acquisition and customer value |
| Finance | Review monthly statements | Flag margin, cash-flow and cost patterns |
| Operations | Respond to delays | Detect recurring process issues |
| Customers | Use broad segments | Build behaviour-led groups |
The table also shows why analytics is no longer confined to technology teams. Finance, marketing, operations and strategy professionals all work with data, although the depth of technical skill differs by role.
That is why data literacy now belongs in business education as well as programmes offered by the best universities of India for B.Tech.
Students interested in commerce can choose a programme around the type of business work they want to enter.
Manipal University Jaipur offers the Bachelor of Commerce (B. Com) as well as Bachelor of Commerce (Hons) Accounting. Applicants searching for B. Com Hons in Accountancy should note that the university's official programme name is B.Com (Hons) Accounting.
The accounting programme has been designed with ACCA (UK), and its curriculum includes business statistics, spreadsheet modelling, Introduction to Python, data visualisation, and AI in Accounting and Finance.
A few programme features stand out:
This gives commerce students a route into accounting that also acknowledges how finance work is changing.
Students who want analytics to take a larger share of their degree can also review Manipal University Jaipur's BBA Business Analytics programme, which covers Excel, Python, R, SQL, Power BI/Tableau-related analytics, big data and machine learning.
Students do not need the same analytics depth for every career.
Someone targeting audit, reporting or finance may prefer Bachelor of Commerce Hons Accounting. A student aiming for broader commerce roles may choose the Bachelor of Commerce (B. Com). Those interested in business intelligence or analytical roles may want a programme with heavier statistics and data-tool exposure.
This is also a better way to compare the top universities of India. Course titles alone reveal little. Students should open the curriculum and check where accounting, analytics, practical projects and professional qualifications appear.
Admissions and scholarship availability also change by academic cycle, so applicants should review current eligibility and financial-support details before making a fee decision.
Data analytics is changing business decision-making because companies can now forecast, segment customers, test pricing, monitor operations and identify risks with far greater detail.
For students, the takeaway is practical. Business careers increasingly require comfort with numbers, dashboards and evidence, even when the role is not labelled “data analyst”.
Manipal University Jaipur offers commerce routes that connect core business study with accounting, statistics and newer analytical tools. Students considering a commerce career can explore Manipal University Jaipur's current B.Com and B.Com (Hons) Accounting programmes, compare scholarships and eligibility, and choose the route that fits their career plans.
Data analytics uses business data to identify patterns, compare options, forecast outcomes, and support decisions across finance, marketing, operations, and strategy.
Yes. Commerce graduates increasingly work with financial data, customer information, spreadsheets, dashboards and analytical tools across accounting, banking and corporate roles.
The programme covers accounting, taxation and finance alongside business statistics, spreadsheet modelling, Python, data visualisation and AI applications in accounting and finance.
Yes. The honours route places greater focus on accounting and includes an integrated ACCA curriculum, while the regular B.Com provides broader commerce education.
Students should compare career goals, preferred subjects and comfort with quantitative work, then review the curriculum, internships, professional qualifications and current admission criteria.