Introduction:

The effective utilization of business data, information technology, and analytical methods enables managers and employees to gain deeper insights into business challenges and make well-informed decisions. The tools and techniques introduced in this program can be applied across various organizational domains to enhance stakeholder satisfaction, maximize return on investment, mitigate business risks, and improve strategic planning.

The Business Data Collection, Analysis, and Presentation training course provides fundamental knowledge on gathering reliable business data and conducting thorough analysis to optimize organizational value. This course focuses on strengthening essential skills and equipping participants with a diverse set of methodologies for effective data collection and analysis.

Objectives:

• Develop critical thinking and structured problem-solving capabilities
• Identify business challenges and assess organizational needs
• Design and implement effective data collection techniques
• Analyze and interpret business data for strategic decision-making
• Conduct feasibility studies for business initiatives
• Apply analytical tools and frameworks to solve management challenges
• Influence stakeholders through persuasive communication and presentation skills

Target Audience:

• Business executives and decision-makers
• Data analysts and strategic planners
• Research and development professionals
• Risk management and corporate planning specialists
• Marketing and business development professionals
• Professionals seeking to enhance their expertise in data analysis and business decision-making

Training Outline:

Day 1: Introduction to Key Concepts in Business Decision-Making

• Core principles of business decision-making
• Decision-making processes and critical thinking
• Understanding the distinctions between data, information, and knowledge
• Differentiating facts, statistics, rumors, and fiction
• Identifying business challenges and opportunities:
  • Establishing clear objectives
  • Defining problems and prioritizing key factors
  • Recognizing assumptions, constraints, and influencing elements

Day 2: Collecting Relevant and Reliable Business Data

• The role of data in decision-making
• The significance and value of business research
• Business research processes and methodologies
• Data sources and effective collection techniques
• Sampling strategies and data analysis approaches
• Developing strong research proposals
• Organizing and gathering relevant business data
• Crafting surveys and questionnaires for meaningful insights

Day 3: Data Validation and Analysis Techniques

• Understanding different categories of business data
• Ensuring data accuracy and reliability
• Introduction to decision models and spreadsheet analysis
• Visualizing and exploring business data
• Essential business statistics and data analysis methods
• Utilizing charts and frequency distributions
• Creating pivot tables for comprehensive data analysis
• Applying descriptive statistics in business decisions
• Understanding measures of central tendency and variability

Day 4: Probability Distributions and Data Modeling

• The role of probability in business decision-making
• Applications of statistical decision theory
• Business applications of probability distributions
• Correlation and regression analysis for business insights
• Diagnostic and analytical models for data-driven decisions
• Fundamentals of option analysis and decision heuristics
• Payoff tables and decision-making under certainty, risk, and uncertainty
• Decision trees and utility theory for strategic choices

Day 5: Persuasive Business Communication and Data Presentation

• A structured approach to persuasive communication: AIM-FOCUS
• The significance of AIM (Audience, Intent, Message) in business communication
• The need for FOCUS to ensure clarity and impact
• Crafting compelling and persuasive business reports
• Mastering influence through professional business presentations
• Case study application: Real-world business data analysis