Business Analysis Training for Sales Growth Using AI

Name: Business Analysis Training for Sales Growth Using AI
Availability: InStock

Inspired by: Business analysis, sales analytics, customer intelligence, AI forecasting, and revenue growth.

At a glance

Duration: 5 days
Format: Classroom
Cities: Marbella, Casablanca, Kuala Lumpur, Athens, Munich, Jakarta and more
Next session: 4 – 8 October 2026, Marbella
Average fee: 5,800 €

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Business Analysis Training for Sales Growth Using AI

Course Overview

Business Analysis for Sales Growth Using Artificial Intelligence is a practical five-day Business Analysis Training programme designed to turn business information, customer intelligence, market intelligence, and sales data into measurable commercial action. Sustainable growth requires more than sales techniques; it depends on understanding business objectives, customer behaviour, competitive conditions, revenue performance, and the factors that enable or restrict growth.

This Business Analysis Course develops participants’ ability to diagnose commercial problems, distinguish symptoms from root causes, and identify evidence-based growth opportunities. Participants explore customer segmentation, customer analytics, competitor analysis, sales performance analysis, revenue analysis, and sales pipeline analysis before converting their findings into a focused sales growth strategy.

The programme also introduces AI for Sales as an advanced analytical capability. Participants learn how predictive sales analytics, AI customer segmentation, and AI sales forecasting can support faster pattern recognition, opportunity discovery, forecasting, and commercial decision-making. Attention is also given to identifying revenue leakage, improving sales optimization, and recognising suitable cross-selling and upselling opportunities.

Through business scenarios, sales datasets, analytical frameworks, and AI-supported demonstrations, participants learn to combine technology with professional judgement. By the end of the programme, they will be equipped to produce a practical, evidence-based sales growth analysis and action plan aligned with organisational priorities.

Target Audience

Business analysts and senior business analysts
Sales managers and regional sales managers
Business development managers
Commercial managers and commercial analysts
Revenue growth and revenue operations professionals
Sales operations managers and analysts
Key account and strategic account managers
Marketing managers and marketing analysts
Customer experience and customer intelligence professionals
Market research and market intelligence analysts
Product managers and category managers
Strategy and corporate planning professionals
Sales forecasting and demand-planning specialists
CRM and customer data professionals
Department heads responsible for commercial performance
Senior professionals involved in data-driven decision-making

Targeted Organizational Departments

Business Analysis
Sales and Sales Operations
Business Development
Commercial Management
Marketing
Customer Experience and CRM
Strategy and Corporate Planning
Finance and Revenue Management
Data and Business Intelligence
Product and Service Management

Targeted Industries

Banking, financial services, and insurance
Technology, telecommunications, and digital services
Retail, e-commerce, and consumer goods
Manufacturing and industrial services
Professional and business services
Healthcare, pharmaceuticals, and medical services
Energy, utilities, and natural resources
Logistics, transportation, and supply-chain services
Hospitality, tourism, and aviation
Real estate and property services
Automotive sales and distribution
Media, advertising, and marketing services
Government entities and public-sector organisations
Education and professional training providers
Wholesale, distribution, and international trading companies

Course Offerings

By the end of this course, participants will be able to:

Apply structured business analysis to sales and commercial situations.
Connect business objectives with revenue and sales-growth priorities.
Diagnose sales problems and distinguish symptoms from root causes.
Analyse customers, markets, competitors, products, and value propositions.
Use customer segmentation and customer intelligence to identify growth potential.
Conduct sales performance analysis across products, accounts, teams, and territories.
Interpret sales pipelines, funnels, conversion rates, and performance trends.
Detect revenue leakage, stalled opportunities, and performance gaps.
Use sales analytics to evaluate cross selling and upselling possibilities.
Apply sales forecasting and scenario analysis to commercial decisions.
Convert analytical findings into a prioritised sales growth strategy.
Use AI for Sales to structure problems, analyse information, and generate hypotheses.
Apply predictive sales analytics, AI sales forecasting, and AI customer segmentation.
Validate AI-generated insights and combine them with professional judgement.
Present evidence-based commercial recommendations to decision-makers.
Develop a Sales Growth Analysis and Action Plan with priorities, KPIs, and implementation measures.

Training Methodology

The course uses an interactive, application-focused methodology that connects Business Analysis Training with realistic sales and commercial challenges. Trainer-led sessions introduce essential concepts, analytical frameworks, and decision models, while facilitated discussions help participants connect these approaches to their organisations, customers, markets, and sales environments.

Case studies demonstrate how business analysis can uncover sales-performance gaps, customer opportunities, revenue leakage, and barriers to growth. Participants work individually and in groups to examine business scenarios, perform customer analytics, apply customer segmentation, conduct competitor analysis, and interpret market intelligence. Simulated sales datasets support sales data analysis, revenue analysis, sales pipeline analysis, sales forecasting, and root-cause investigation.

Structured workshops guide participants through the complete analytical journey: defining a commercial problem, collecting relevant evidence, interpreting performance, prioritising opportunities, and developing a sales growth strategy. AI Sales Training demonstrations show how AI can help organise information, generate analytical questions, detect patterns, support predictive sales analytics, and explore alternative commercial scenarios.

Reflection and feedback sessions are included each day to reinforce learning, correct analytical assumptions, and connect insights to workplace priorities. The programme concludes with an integrated AI-supported business case in which participants develop and present a practical Sales Growth Analysis and Action Plan based on evidence, commercial judgement, and responsible AI use.

Course Toolbox

Business Growth Diagnostic
Business objectives and sales-drivers mapping
Commercial problem definition
Business model and value proposition analysis
Customer segmentation and profiling
Customer value and growth-potential analysis
Customer portfolio analysis
Customer and market intelligence
Competitor positioning
Sales performance analysis
Sales data and revenue analysis
Revenue leakage identification
Sales pipeline and funnel analysis
Win/loss analysis
Sales forecasting and scenario planning
Root-cause analysis
Cross-selling and upselling analysis
Sales-growth opportunity prioritisation
Commercial strategy development
AI prompting for business and sales analysis
AI-generated insight validation
Responsible AI and data confidentiality
Sales Growth Analysis and Action Planning
Sales KPIs and implementation priorities

Important note: Relevant tools are not provided. The course offers insights, demonstrations, and examples of suitable business analysis, sales analytics, and AI tools where required.

Course Agenda

Day 1: Business Analysis and Sales-Growth Drivers

Topic 1: Purpose and value of business analysis in commercial settings
Topic 2: Aligning business objectives with sales and revenue priorities
Topic 3: Business models, value creation, and commercial ecosystems
Topic 4: Key drivers of revenue, profitability, and sustainable sales growth
Topic 5: Defining business problems, symptoms, and growth opportunities
Topic 6: Evidence requirements, analytical questions, and analysis priorities
Reflection & Review: Applying a Business Growth Diagnostic to connect objectives, sales drivers, performance issues, and areas for analysis

Day 2: Customer and Market Analysis for Growth

Topic 1: Understanding customer needs, expectations, and buying behaviour
Topic 2: Customer segmentation, profiling, and portfolio analysis
Topic 3: Customer intelligence and high-potential account identification
Topic 4: Market intelligence, attractiveness, trends, and emerging demand
Topic 5: Competitor analysis, positioning, and underserved market segments
Topic 6: Cross-selling, upselling, retention, and customer-development opportunities
Reflection & Review: Converting customer analytics and market intelligence into defined sales-growth opportunities

Day 3: Sales Performance and Revenue Analysis

Topic 1: Historical sales data analysis and performance trends
Topic 2: Revenue analysis across products, services, customers, and territories
Topic 3: Sales pipeline analysis, funnel movement, and conversion rates
Topic 4: Win/loss patterns, deal values, and sales-cycle performance
Topic 5: Detecting stalled opportunities, revenue leakage, and performance gaps
Topic 6: Root-cause analysis of sales problems and underperformance
Reflection & Review: Completing a Sales Performance Diagnostic to identify what is happening, where, why, and with what commercial impact

Day 4: Developing the Sales Growth Strategy

Topic 1: Converting business analysis into actionable commercial insight
Topic 2: Evaluating and prioritising sales-growth opportunities
Topic 3: Account expansion, acquisition, cross-selling, and upselling strategies
Topic 4: Customer value propositions and competitive sales positioning
Topic 5: Commercial strategy, resource allocation, and growth objectives
Topic 6: Scenario analysis, risks, KPIs, and stakeholder recommendations
Reflection & Review: Building an evidence-based sales growth strategy linking insight, opportunity, priority, initiative, and expected result

Day 5: Artificial Intelligence for Business Analysis and Sales Growth

Topic 1: Capabilities, limitations, and responsible use of AI for Sales
Topic 2: Using AI to structure business problems and analytical hypotheses
Topic 3: AI customer segmentation, customer analytics, and feedback analysis
Topic 4: AI-assisted market intelligence and competitor analysis
Topic 5: Predictive sales analytics, AI sales forecasting, and anomaly detection
Topic 6: AI-supported sales optimization and commercial recommendations
Reflection & Review: Integrating business data, customer intelligence, market findings, sales performance, and AI-assisted analysis into a Sales Growth Action Plan

FAQ

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

No formal qualification in business analysis, data science, or artificial intelligence is required. Participants should have a basic understanding of business or sales operations and an interest in improving commercial performance. Experience in sales, business development, marketing, strategy, customer management, finance, or business analysis will help participants relate the frameworks to workplace situations. Advanced statistical or programming knowledge is not required.

How long is each day's session, and is there a total number of hours required for the entire course?

Each day's session is generally structured to last around 4–5 hours, with breaks and interactive activities included. The total course duration spans five days, approximately 20–25 hours of instruction.

Does the course focus on selling techniques or on analysing sales growth opportunities?

The course focuses primarily on business and sales analysis rather than traditional selling techniques. It examines customers, markets, competitors, sales data, revenue performance, pipelines, forecasts, and commercial opportunities. Participants then use these findings to develop an evidence-based sales growth strategy. Artificial intelligence is introduced as an analytical support capability, not as a substitute for professional judgement or relationship-based selling.

How This Course is Different from Other Business Analysis for Sales Growth Courses

Business Analysis for Sales Growth Using Artificial Intelligence stands out by integrating three disciplines that are frequently taught separately: business analysis, commercial performance, and applied artificial intelligence. Instead of approaching business analysis as a general requirements-management subject, the course applies it directly to sales growth, customer development, revenue performance, and commercial decision-making.

The programme follows a clear analytical progression. Participants first examine the business model and growth drivers, then conduct customer analytics, customer segmentation, market intelligence, and competitor analysis. They subsequently perform sales performance analysis, revenue analysis, and sales pipeline analysis before transforming their findings into a practical sales growth strategy.

Its AI Sales Training component is equally focused. Rather than presenting artificial intelligence as a collection of disconnected tools, the programme shows where AI can support problem structuring, information analysis, predictive sales analytics, AI customer segmentation, AI sales forecasting, and sales optimization. It also addresses validation, confidentiality, inaccurate outputs, and the continuing importance of human judgement.

The final output is not simply a set of course notes. Participants bring the analytical components together in a Sales Growth Analysis and Action Plan covering business diagnosis, customer and market opportunities, commercial priorities, recommendations, KPIs, risks, and implementation priorities.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 77 events

Location	Dates	Duration	Mode	Price
Marbella	Week 40, 2026 4 – 8 October 2026	5 Days	Onsite	€5,700
Casablanca	Week 41, 2026 5 – 9 October 2026	5 Days	Onsite	€4,100
Kuala Lumpur	Week 42, 2026 12 – 16 October 2026	5 Days	Onsite	€5,200
Athens	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€6,700
Munich	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€5,700
Jakarta	Week 45, 2026 2 – 6 November 2026	5 Days	Onsite	€5,700
Lisbon	Week 45, 2026 2 – 6 November 2026	5 Days	Onsite	€5,700
Istanbul	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€4,500
Phuket	Week 46, 2026 15 – 19 November 2026	5 Days	Onsite	€6,000
Trabzon	Week 46, 2026 15 – 19 November 2026	5 Days	Onsite	€6,800
Dubai	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€4,500
Vienna	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,700
Barcelona	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€5,700
Abu Dhabi	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€4,700
London	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€5,700
Zoom	Week 52, 2026 21 – 25 December 2026	5 Days	Online	€1,500
Kuwait	Week 52, 2026 27 – 31 December 2026	5 Days	Onsite	€5,500
Frankfurt	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€5,700
Cairo	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€4,100
Geneva	Week 01, 2027 10 – 14 January 2027	5 Days	Onsite	€6,200