← Back to the catalogueBusiness Analytics
Classroom . Online . Hybrid
Mode
Course overview
A business analytics course connecting metrics to decisions across sales, customer, HR and operations data. Each domain module defines the metrics that matter, the analysis that supports a decision, and the trap that misleads: survivorship in churn, seasonality in sales, averages in operations. Forecasting and scenario modelling close the course.
Learners deliver an analysis pack for one business function with recommendations.
Who it is for
- Business analysts and MIS staff
- Functional managers
- Consultants and strategy teams
- Analysts moving beyond reporting
Prerequisites
Excel or SQL familiarity and basic statistics.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Analysis Pack with Recommendations
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Define KPIs that drive behaviour correctly.
02
Analyse sales performance and pipeline health.
03
Analyse HR and operations efficiency metrics.
04
Present analysis as a decision recommendation.
05
Segment customers and products meaningfully.
06
Measure retention, churn and lifetime value.
07
Forecast with trend and seasonality.
Module structure
8 modulesModule 01
Analytics Foundations
Descriptive to prescriptive . Metric design . Leading vs lagging indicators . Data quality . Analysis workflow
Module 02
Customer Analytics
Segmentation . RFM . Retention curves . Lifetime value
Pipeline stages . Win-loss analysis . Quota and territory . Discount impact . Forecast accuracy
Lab
Sales Performance Pack
Module 04
Marketing Analytics
Attribution basics . Budget reallocation
Headcount and attrition . Time to hire . Engagement measures . Absence patterns
Module 06
Operations and Supply Chain
Throughput and cycle time . Utilisation . Inventory turns . Service levels . Bottleneck analysis . Quality metrics
Module 07
Forecasting and Scenarios
Trend and seasonality . Moving averages . Exponential smoothing . Regression basics . Scenario and sensitivity models
Module 08
Decision Support
Framing recommendations . Assumption tables . Executive summaries . Follow-up measurement
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
Business AnalystBusiness Intelligence AnalystSales Operations AnalystStrategy AnalystConsultant
