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course | Sales and Commercial Data Analysis

Boost your profile through Sales and Commercial Data Analysis. Expert trainers, practical exercises, and recognized certification in Abu Dhabi.

DIGTR-1547 | Sales and Commercial Data Analysis

Course Sector : Digital Transformation and Innovation

Duration
Date from
Date to Course Venue Course fees Book a course
3 Days24/08/202626/08/2026Vienna$3,950 Book now
3 Days13/12/202615/12/2026Doha$3,250 Book now
3 Days15/03/202717/03/2027Dubai$3,250 Book now
3 Days19/04/202721/04/2027Abu Dhabi$3,250 Book now

Course Introduction

This comprehensive course is designed to equip participants with the skills and techniques necessary to analyze sales and commercial data effectively. Throughout this program, participants will learn the fundamentals of data analysis, including data collection, cleaning, and management strategies. They will delve into exploratory data analysis techniques to uncover patterns, trends, and customer insights that inform sales and commercial strategies.

Additionally, participants will gain proficiency in advanced data analysis techniques such as predictive analytics, regression analysis, pricing analysis, and sales funnel analysis to optimize sales strategies and overall business performance. Get ready to unlock the power of data analysis and propel your sales and commercial success to new heights.


Course objective

  • Develop the skills and knowledge necessary to analyze sales and commercial data effectively, enabling participants to make informed business decisions based on data-driven insights.
  • Acquire proficiency in data collection, cleaning, and management techniques to ensure the accuracy and reliability of sales and commercial data for analysis.
  • Enhance the ability to conduct exploratory data analysis (EDA) to uncover patterns, trends, and customer insights that drive sales and commercial success.
  • Gain proficiency in advanced data analysis techniques such as predictive analytics, regression analysis, pricing analysis, and sales funnel analysis to optimize sales strategies, pricing decisions, and overall business performance.

Course audience

  • Business and technology leaders
  • Business Unit Managers
  • Business Development Consultants
  • General Managers / Regional Managers
  • Senior and mid-level leaders
  • Individual leaders of all levels in the organization
  • Art Director
  • Marketing Consultants
  • Marketing Development Manager

Course Outline | Day 01

Introduction to Sales and Commercial Data Analysis
 

  • Overview of Sales and Commercial Data Analysis
  • Importance of Data Analysis in Sales and Business Decision-making
  • Types of Sales and Commercial Data
  • Data Collection and Management Strategies
  • Data Cleaning and Validation Techniques
  • Introduction to Data Analysis Tools and Software

Course Outline | Day 02

Exploratory Data Analysis for Sales and Commercial Insights
 

  • Exploratory Data Analysis (EDA) Techniques
  • Descriptive Statistics and Data Visualization
  • Customer Segmentation and Profiling
  • Market Basket Analysis and Cross-Selling Opportunities
  • Trend Analysis and Sales Forecasting
  • Key Performance Indicators (KPIs) and Metrics for Sales Analysis

Course Outline | Day 03

Advanced Data Analysis Techniques for Sales Optimization
 

  • Predictive Analytics and Machine Learning for Sales
  • Regression Analysis and Sales Drivers Identification
  • Pricing Analysis and Price Optimization Strategies
  • Sales Funnel Analysis and Conversion Rate Optimization
  • Customer Lifetime Value (CLV) Analysis
  • Sales Performance Dashboards and Reporting
  • Case Studies and Real-world Applications of Advanced Data Analysis Techniques
Course Certificates
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BOOST’s Professional Attendance Certificate “BPAC”

BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.

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Commercial data analysis is the process of analyzing sales, customer, market, and financial data to improve commercial performance, identify growth opportunities, and support business decisions.
Sales data analysis involves examining sales metrics, customer behavior, and revenue trends to evaluate performance, forecast demand, and optimize sales strategies.
A sales data analyst collects, analyzes, and interprets sales data, creates reports and dashboards, and provides insights that help improve sales performance and business growth.
A commercial data analyst analyzes business and market data, monitors KPIs, identifies revenue opportunities, supports pricing and sales strategies, and provides insights to drive commercial success.
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