Future-Ready Business
Business Analytics & Decision Intelligence
A practical global programme for founders and managers covering measurement design, customer and commercial analytics, forecasting, experimentation, dashboards, data governance and decision routines. The curriculum draws on OECD work on SME analytics and digitalisation and the World Economic Forum Future of Jobs 2025 skills outlook.
- ✓ 9 weeks · 35 lessons
- ✓ 12-month access
- ✓ AI Business Tutor
- ✓ Activates automatically after ICICI Bank confirms payment
- ✓ Bank financing assistance
Questions first? Talk to the Business Counsellor · See all 35 lessons
What you will work on
- ✓Decision Questions and Measurement Strategy
- ✓Data Foundations for Small and Growing Businesses
- ✓Customer, Market and Cohort Analytics
- ✓Sales, Margin and Unit-Economics Analytics
- ✓Forecasting, Scenarios and Early-Warning Signals
- ✓Experiments and Evidence-Based Growth
Who should consider it
- •Founders, MSMEs, professionals and learners interested in the relevant business pathway
- •Programme selection should match the learner's business stage and implementation goal
Full curriculum
9 modules · 35 lessons
Every core lesson follows the same teaching flow: what you need to know, a step-by-step method, a worked Indian business example, a ready-to-use template, common mistakes, a 20-minute action task and a prompt for the AI Business Tutor.
Decision Questions and Measurement StrategyTranslate business goals into decision questions, definitions, owners and a measurement plan. Applied deliverable: A one-page decision map with priority questions, metrics and review owners. Primary reference: OECD Data Analytics in SMEs — https://www.oecd.org/en/publications/data-analytics-in-smes_1de6c6a7-en.html4 lessons
- Framing decision questions: turning vague business goals into answerable analytics questionsFree preview
- Choosing metrics that drive action: leading and lagging indicators, counter-metrics and decision thresholds🔒
- Metric trees and the KPI dictionary: ownership, definitions, change control and escalation🔒
- Lab: writing a measurement plan for one live decision and judging the value of more information🔒
Data Foundations for Small and Growing BusinessesCreate trustworthy data definitions, collection routines and quality controls without overengineering. Applied deliverable: A practical data dictionary and quality checklist. Primary reference: OECD Digitalisation of SMEs — https://www.oecd.org/en/topics/digitalisation-of-smes.html4 lessons
- Business data foundations: sources, entities, grain, keys and tidy tables🔒
- Measuring data quality: the six dimensions, quality scores and fit-for-purpose thresholds🔒
- Building a reliable data workflow: single source of truth, refresh routines, access and backups🔒
- Lab: building a clean, reconciled sales dataset from raw exports🔒
Customer, Market and Cohort AnalyticsSegment customers, compare cohorts and interpret acquisition, retention and lifetime-value signals. Applied deliverable: A customer-segment and cohort review pack. Primary reference: OECD Data Analytics in SMEs — https://www.oecd.org/en/publications/data-analytics-in-smes_1de6c6a7-en.html4 lessons
- Customer segmentation: RFM scoring, value tiers and the Pareto check🔒
- Cohort analysis: retention curves, churn, repeat rate and customer lifetime value🔒
- Customer, Market and Cohort Analytics: Workflow, Governance and Risk Controls🔒
- Customer, Market and Cohort Analytics: Implementation Lab and Review🔒
Sales, Margin and Unit-Economics AnalyticsConnect funnel movement, revenue quality, contribution margin and cash implications. Applied deliverable: A commercial performance model with leading and lagging indicators. Primary reference: OECD SME Digitalisation for Competitiveness 2025 — https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/04/sme-digitalisation-for-competitiveness_3116862a/197e3077-en.pdf4 lessons
- Sales, Margin and Unit-Economics Analytics: Foundations and Diagnostic🔒
- Sales, Margin and Unit-Economics Analytics: Metrics, Evidence and Decision Rules🔒
- Sales, Margin and Unit-Economics Analytics: Workflow, Governance and Risk Controls🔒
- Sales, Margin and Unit-Economics Analytics: Implementation Lab and Review🔒
Forecasting, Scenarios and Early-Warning SignalsBuild assumption-led forecasts, scenarios and thresholds that support action under uncertainty. Applied deliverable: A base, upside and downside scenario model with trigger actions. Primary reference: World Economic Forum Future of Jobs 2025 — https://www.weforum.org/publications/the-future-of-jobs-report-2025/digest/4 lessons
- Forecasting, Scenarios and Early-Warning Signals: Foundations and Diagnostic🔒
- Forecasting, Scenarios and Early-Warning Signals: Metrics, Evidence and Decision Rules🔒
- Forecasting, Scenarios and Early-Warning Signals: Workflow, Governance and Risk Controls🔒
- Forecasting, Scenarios and Early-Warning Signals: Implementation Lab and Review🔒
Experiments and Evidence-Based GrowthDesign ethical business experiments, define success criteria and separate signal from noise. Applied deliverable: An experiment backlog with hypotheses, guardrails and review dates. Primary reference: OECD Digital Transformation of SMEs — https://www.oecd.org/en/publications/the-digital-transformation-of-smes_bdb9256a-en.html4 lessons
- Experiments and Evidence-Based Growth: Foundations and Diagnostic🔒
- Experiments and Evidence-Based Growth: Metrics, Evidence and Decision Rules🔒
- Experiments and Evidence-Based Growth: Workflow, Governance and Risk Controls🔒
- Experiments and Evidence-Based Growth: Implementation Lab and Review🔒
Dashboards, Data Stories and Executive ReviewsBuild role-specific dashboards and communicate insights with context, uncertainty and recommended action. Applied deliverable: An executive dashboard and monthly decision-review agenda. Primary reference: World Economic Forum Skills Outlook 2025 — https://www.weforum.org/publications/the-future-of-jobs-report-2025/in-full/3-skills-outlook/4 lessons
- Dashboards, Data Stories and Executive Reviews: Foundations and Diagnostic🔒
- Dashboards, Data Stories and Executive Reviews: Metrics, Evidence and Decision Rules🔒
- Dashboards, Data Stories and Executive Reviews: Workflow, Governance and Risk Controls🔒
- Dashboards, Data Stories and Executive Reviews: Implementation Lab and Review🔒
Data Governance, Privacy and Analytics CapstoneSet ownership, access, retention and human-review controls, then integrate the programme into one operating system. Applied deliverable: A governed analytics operating plan and 90-day capstone roadmap. Primary reference: OECD Data Analytics in SMEs — https://www.oecd.org/en/publications/data-analytics-in-smes_1de6c6a7-en.html4 lessons
- Data Governance, Privacy and Analytics Capstone: Foundations and Diagnostic🔒
- Data Governance, Privacy and Analytics Capstone: Metrics, Evidence and Decision Rules🔒
- Data Governance, Privacy and Analytics Capstone: Workflow, Governance and Risk Controls🔒
- Data Governance, Privacy and Analytics Capstone: Implementation Lab and Review🔒
Applied practice, case studies and revisionWorked scenarios, common mistakes and a timed mock3 lessons
- Business analytics: worked case studies and applied scenarios🔒
- Business analytics: common mistakes, misconceptions and self-check Q&A🔒
- Business analytics: revision sheet and self-test with answer key🔒
Unlock all 35 lessons with 12-month access and the AI Business Tutor.
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Run the Business Diagnostic if you are not sure which pathway matches the current constraint. If your needs move across several functions, compare the Growth Partner 12-month all-access programme.
One-time fee
₹9,999