Data-Driven Decision Making: Advanced Strategies

Course Introduction

Delivered over five days, this advanced-level programme on Data-Driven Decision Making combines concise technical input with hands-on application. It is built around business-analysis, requirements and decision-support work, so examples, exercises and discussion stay relevant to participants' daily work.

Training Objectives

• 01Explain the core principles, terminology and standards behind Data-Driven Decision Making in clear, practical language
• 02Select and adapt suitable approaches to Data-Driven Decision Making for the constraints of business-analysis, requirements and decision-support work
• 03Diagnose weak spots in current practice and prioritise corrective action
• 04Use practical tools, checklists and templates that support day-to-day Data-Driven Decision Making
• 05Leave with a prioritised list of improvements you can start within 30 days

What You Will Take Away

• A ready-to-use template pack for daily work
• A checklist of common pitfalls and how to avoid them
• Benchmarks and KPIs to track your own results

Who Should Attend

• Business Analysts
• Project & Product Managers
• IT & Systems Analysts
• Managers Making Data-Driven Decisions

Prerequisites: Recommended: at least two years of relevant work experience.

Training Methodology

Building on participants' existing experience, the programme relies on case analysis, comparison of approaches and structured problem-solving rather than lecture. Case material and examples are drawn from business-analysis, requirements and decision-support work.

Day-by-Day Programme (5 Days)

• Day 1
  Getting oriented: the landscape of Data-Driven Decision Making

  Scope, terminology and the standards and regulations that shape Data-Driven Decision Making in business-analysis, requirements and decision-support work.

• Day 2
  Core concepts and methods

  The principles, codes and best-practice approaches that leading organisations rely on for Data-Driven Decision Making.

• Day 3
  Applying it on the job

  Hands-on exercises using tools and templates for Data-Driven Decision Making, built around realistic situations in business-analysis, requirements and decision-support work.

• Day 4
  Cases, risks and lessons learned

  Case studies, typical pitfalls and the risk and compliance issues that arise with Data-Driven Decision Making.

• Day 5
  Bringing it together

  Consolidation workshop, personal action planning and a closing knowledge check on Data-Driven Decision Making.

Upcoming Sessions