Turkey - Istanbul - Data Storytelling for Business Decision Making - W Training

Data Storytelling for Business Decision Making

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

11 - October - 2026

Ends On

15 - October - 2026

Location

Turkey - Istanbul

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