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Roaya

Data-Driven Decision Making

  • Arabic

Description

Overview

This presentation explores the importance of employing data to support institutional decisions. It covers the best practices in data management and analysis, showing how to build accurate decisions grounded in reliable information and effective analytics that enhance organizational performance.

What the presentation covers

  • The concept of data management and its significance in institutional decision-making

  • Stages of data collection, organization, modeling, and analysis

  • The relationship between data analytics, KPIs, and institutional performance evaluation

  • Phases of decision-making from problem analysis to selecting the optimal alternative

  • Tools for decision implementation, follow-up, and scenario analysis for continuous improvement

Why it matters

In an era of information abundance, the ability to manage data and translate it into actionable insights is a critical competency for leaders and managers. This presentation gives participants a practical framework for evidence-based decision-making.

Objectives

  • Define data management and its importance in supporting decision-making within organizations.
  • Explain the stages of data collection, organization, modeling, and analysis for optimal results.
  • Clarify the relationship between data analytics, KPIs, and institutional performance evaluation.
  • Review the phases of decision-making from problem analysis through selecting the best alternative.
  • Apply decision implementation and follow-up tools using scenario analysis for continuous improvement.

Who it's for

Managers and decision-makers in organizations who want to improve the quality of their decisions using data; trainers specializing in institutional development and business analysis; department heads and supervisors interested in using KPIs for evaluation and planning.

Version 1 — updated 17 October 2026

We keep the content up to date; every download gets the latest version.

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Frequently asked questions

Managers and decision-makers in organizations who want to improve the quality of their decisions using data; trainers specializing in institutional development and business analysis; department heads and supervisors interested in using KPIs for evaluation and planning.

Files coming soon