Data-Driven Decision Making and Business Analytics

The DIXONTECH Data-Driven Decision Making and Business Analytics programme equips professionals with the analytical mindset, tools, and frameworks required to transform data into actionable insights and informed decisions. The course focuses on leveraging data analytics to support strategic, operational, and performance-related decisions, enabling organisations to improve accuracy, agility, and competitive advantage in a data-centric business environment.

TRAINING TOPICS

• Data-driven thinking and decision-making principles
• Business analytics fundamentals and data literacy
• Descriptive, diagnostic, predictive, and prescriptive analytics
• Data visualisation and executive dashboards
• Key performance indicators (KPIs) and metrics design
• Using analytics for strategy, operations, and performance
• Data governance, quality, and ethical considerations
• Embedding analytics into organisational decision processes

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Apply data-driven approaches to business decisions
• Interpret and analyse business data effectively
• Select appropriate analytics techniques for decisions
• Design meaningful KPIs and performance dashboards
• Communicate insights clearly to stakeholders
• Improve decision quality, speed, and consistency
• Promote a data-driven culture within the organisation

TRAINING IS TAILORED TO

• Senior managers and decision-makers
• Business and operational managers
• Strategy, performance, and planning professionals
• Finance, HR, and marketing leaders
• Project, programme, and PMO managers
• Data and analytics users and business analysts
• Public- and private-sector professionals

TRAINING METHODOLOGY

This DIXONTECH programme combines conceptual learning, real business case studies, hands-on analytics exercises, and interactive workshops. Participants work with real datasets, dashboards, and scenarios to practice translating data into insights that directly support managerial and strategic decisions.

DAY 1

FOUNDATIONS OF DATA-DRIVEN DECISION MAKING

• The role of data in modern organisations
• From intuition to evidence-based decisions
• Types of business decisions and data needs
• Data literacy for managers and leaders
• Understanding data sources and data flows
• Common decision-making biases and data pitfalls

DAY 2

BUSINESS ANALYTICS CONCEPTS AND TECHNIQUES

• Overview of business analytics types
• Descriptive and diagnostic analytics methods
• Introduction to predictive and prescriptive analytics
• Selecting analytics techniques for decision contexts
• Translating business questions into analytics models
• Case study: Analytics-driven business decisions

DAY 3

DATA VISUALISATION, KPIs, AND DASHBOARDS

• Principles of effective data visualisation
• Designing meaningful KPIs and metrics
• Building executive dashboards and reports
• Storytelling with data for decision-makers
• Interpreting trends, patterns, and variances
• Workshop: Designing a management dashboard

DAY 4

APPLYING ANALYTICS TO BUSINESS PERFORMANCE

• Using analytics for strategic planning
• Operational performance and process analytics
• Financial, customer, and workforce analytics
• Scenario analysis and forecasting techniques
• Linking analytics to performance management systems
• Managing analytics-driven change and adoption

DAY 5

DATA GOVERNANCE, ETHICS, AND SUSTAINABLE ANALYTICS

• Data quality, integrity, and reliability
• Data governance roles and responsibilities
• Privacy, security, and ethical use of data
• Embedding analytics into decision processes
• Building a data-driven organisational culture
• Final exercise: Data-driven decision-making action plan