Course Code: DIGTR 140
109 Course Visits
Sales and Commercial Data Analysis
Course Sector:
Digital Transformation and Innovation
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Introduction
Training course introducion / brief

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 Objectives
At the end of the training course, participants will be able to

  • 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
Who is this course for, and can benefit the most
- 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
The course aims and learning outcomes

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

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

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

Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “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.
ENDORSED EDUCATION PROVIDER
Over all rating
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Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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