Target Audience
​
Business Owners, Directors, Head of Departments and anyone supposed to take factual decision based on data analysis.
Programme Standards

- Maximum 8 attendees
- 30 days of one to one support
- E-Booklet
- Programme director/s with at least a Masters Degree in the subject and ten years or more working experience
- Convenient morning timings or in-house at any time for a minimum of two bookings
- Can be configured to address a number of professions and industry sectors
- Via Skype Interactive Environment 
​- Available in-house for a minimum of two bookings at no extra cost

Price

EUR495 ex VAT per participant.
Service Warranty
Read More
Data Analytics for Leadership Masterclass​

This 12-topic masterclass is designed to equip leaders with the knowledge and skills needed to leverage data analytics for strategic business development. Each module will delve into specific aspects of data analytics, including the use of internal data, profit analysis, comparative analysis, and both quantitative and qualitative market research. By the end of this masterclass, participants will be empowered to make data-driven decisions that enhance business performance and growth.

Topics Covered

Introduction to Data Analytics for Leadership
This module introduces the fundamentals of data analytics and its importance for strategic business leadership. Participants will explore how data-driven decision-making can transform business operations and outcomes. Key topics include:

Understanding data analytics and its role in business,
Types of data: structured vs. unstructured,
The data analytics process: collection, analysis and interpretation,
Tools and technologies used in data analytics.


Leveraging Internal Data for Strategic Business Development
Focusing on internal data, this module teaches leaders how to harness the wealth of information within their organizations. Key topics include:

Identifying key internal data sources,
Data governance and management,
Using internal data to identify business opportunities.


Profit Analysis Through Data Analytics
This module explores how data analytics can be used to perform detailed profit analysis. Participants will learn techniques to assess and enhance profitability. Key topics include:

Understanding profit drivers and metrics,
Analysing cost structures and revenue streams,
Predictive analytics for profit forecasting,
Data-driven strategies for profit maximisation.


Comparative Analysis for Competitive Advantage
Leaders will learn to use comparative analysis to benchmark their performance against competitors. Key topics include:

Gathering and analysing competitor data,
Comparative performance metrics,
SWOT analysis through data,


Quantitative Market Research Techniques
This module covers quantitative market research methods, focusing on statistical and numerical data to understand market trends. Key topics include:

Designing effective surveys and questionnaires,
Sampling methods and data collection techniques,
Analysing quantitative data using statistical tools,
Interpreting and presenting quantitative findings.


Qualitative Market Research Techniques
Participants will explore qualitative research methods to gain deeper insights into consumer behavior and market dynamics. Key topics include:

Conducting interviews and focus groups,
Analysing qualitative data through coding and theming,
Integrating qualitative insights with quantitative data,
Real-world applications of qualitative research.


Data Visualisation for Leaders
This module teaches leaders how to effectively visualise data to communicate insights clearly and compellingly. Key topics include:

Principles of data visualisation,
Tools and software for creating visualisations,
Best practices for designing charts, graphs, and dashboards,
Telling a story with data visualisations.


Predictive Analytics and Forecasting
Leaders will learn how to use predictive analytics to anticipate future trends and make proactive decisions. Key topics include:

Introduction to predictive models
Time series analysis and forecasting techniques
Applications of predictive analytics in business


Data-Driven Decision Making
This module focuses on integrating data analytics into the decision-making process. Key topics include:

Frameworks for data-driven decision making,
Overcoming biases in data interpretation,
Balancing data insights with intuition and experience,


Data Ethics and Governance
Participants will explore the ethical considerations and governance practices essential for responsible data use. Key topics include:

Understanding data privacy and security,
Ethical implications of data analytics,
Implementing data governance frameworks,


Advanced Data Analytics Techniques
This module delves into advanced analytics techniques that can provide deeper insights and more sophisticated analysis. Key topics include:

Machine learning and AI in data analytics,
Advanced statistical methods,
Big data analytics.


Building a Data-Driven Culture
The final module focuses on fostering a data-driven culture within an organization. Key topics include:

Strategies for promoting data literacy,
Encouraging data-driven decision making at all levels,
Overcoming resistance to data adoption.