Malaysia - Kuala lumpur - Data Storytelling for Business Decision Making - W Training
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Data Storytelling for Business Decision Making

  • Data Storytelling for Business Decision Making
  • Malaysia - Kuala lumpur

Data Storytelling for Business Decision Making

Course Category : Data Management

Transform data and analytical findings into clear business narratives that connect evidence with insight and support more informed, impactful decision-making.
Duration: 5 Days
Level: Intermediate to Advanced.

Starts On

29 - November - 2026

Ends On

3 - December - 2026

Location

Malaysia - Kuala lumpur

Language

Arabic

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View Course Introductory PDF

Targeted Audience

  • Business and Functional Managers
  • Business and Data Analysts
  • Performance and Corporate Planning Analysts
  • Business Intelligence and Reporting Professionals
  • Project and Programme Managers
  • Strategy and Performance Management Professionals
  • Reporting and Dashboard Specialists
  • Professionals presenting data and recommendations to decision-makers

Targeted Skills

  • Decision-Oriented Analytical Thinking
  • Business-Context Data Interpretation
  • Data Story and Narrative Development
  • Relevant Performance Metric Selection
  • Effective Data Visualisation
  • Simplification of Complex Analytical Findings
  • Executive Messaging and Recommendation Development
  • Audience-Centred Data Communication

Expected Outcomes

  • Interpret data in relation to priority business questions and decisions.
  • Distinguish between presenting data and constructing an evidence-based business story.
  • Build narrative structures connecting context, findings, implications, and recommendations.
  • Select appropriate charts and metrics for different analytical messages.
  • Prioritise essential information and reduce visual and informational clutter.
  • Translate analytical findings into clear executive messages.
  • Develop recommendations directly supported by evidence and business implications.
  • Structure analytical reports and presentations that better support decision-making.

Training Topics Index

  • Role of data in managerial and strategic decision-making
  • Moving from raw data to information and actionable insight
  • Defining the business question before analysis
  • Distinguishing metrics, findings, and business implications
  • Connecting analysis with organisational objectives and priorities

  • Core elements context, evidence, meaning, and decision
  • Defining the central message before developing the narrative
  • Structuring analytical findings into a logical sequence
  • Using comparisons, trends, and relationships to communicate meaning
  • Avoiding conclusions that are not supported by evidence

  • Selecting chart types according to the nature of the data
  • Communicating trends, comparisons, distributions, and relationships
  • Applying visual hierarchy and information emphasis
  • Reducing visual clutter and unnecessary chart elements
  • Positioning dashboards within analytical narratives

  • Assessing audience requirements and appropriate levels of detail
  • Translating technical findings into clear business language
  • Developing evidence-supported executive messages
  • Communicating uncertainty, assumptions, and analytical limitations
  • Establishing credibility and clarity in data communication

  • Moving from analytical insight to recommendation
  • Connecting recommendations with impact, risk, and priorities
  • Presenting scenarios and alternatives to decision-makers
  • Structuring executive summaries and analytical presentations
  • Evaluating data-story quality and decision-support effectiveness