Target Audience

Directors, Business Leaders, Managers and Operations Executives from analysing data or present data internally or externally as a decision making tool.
Programme Standards

- Maximum 6 attendees
- 30 days of one to one support
- Handouts
- Programme director/s with at least a Masters Degree in the subject
- 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

Price

EUR248 ex VAT per participant.
Data Analytics for Managers Workshop
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This workshop empowers managers to harness the power of data and analytics (D&A) to make informed decisions, streamline business processes, and drive measurable outcomes. Designed for managers across industries, it covers practical techniques for collecting, cleaning, analyzing, and applying data insights to solve real-world business challenges. Participants will learn to identify business risks, uncover opportunities, and implement data-driven strategies to enhance efficiency and performance. With a focus on actionable insights, the workshop combines interactive sessions, to build managers’ confidence in working with data. By the end of the session, attendees will be equipped with the skills to leverage D&A effectively, align data strategies with business objectives, and foster a culture of data-driven decision-making.
Topics Covered
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Data Collection Strategies 
This module focuses on how managers can identify, source, and collect the right data to support business decisions. Participants will learn to define objectives for data collection, determine the types of data (structured, unstructured), and evaluate sources (internal and external). The module covers tools and techniques for gathering data, including surveys, transactional data, and IoT devices, while addressing ethical considerations such as data privacy and compliance. Managers will also learn the importance of capturing accurate and relevant data aligned with organisational goals. By the end of the session, participants will be equipped to create a robust data collection framework that minimises redundancy, ensures reliability, and sets the stage for actionable insights.

Data Cleaning and Preprocessing
In this module, participants will explore the critical steps of cleaning and preparing data for analysis. Managers will learn how to identify and handle missing, duplicate, or inconsistent data, as well as detect and mitigate outliers that may skew results. This session introduces data preprocessing techniques such as normalisation, categorisation, and feature engineering to make datasets usable and analysis-ready. Participants will also explore tools that automate these processes, such as Excel. Emphasis will be placed on maintaining data integrity and ensuring datasets are free from bias or errors. By mastering these skills, managers can ensure that data used for decision-making is both high-quality and reliable, forming a strong foundation for subsequent analytics.

Fundamentals of Data Analysis
This module provides a practical introduction to key data analysis concepts and techniques for managers. Participants will learn to interpret data patterns, trends, and correlations using statistical tools and visualisation methods. The session covers foundational topics like descriptive and inferential statistics, hypothesis testing, and regression analysis.  Through real-world examples, managers will understand how to link data findings to business performance metrics and translate complex datasets into actionable insights. By the end of this module, participants will be confident in evaluating data outputs, identifying opportunities, and addressing challenges with evidence-based decision-making.

Data-Driven Decision Making 
This module focuses on applying data insights to drive organisational outcomes. Managers will learn how to integrate data analytics into their decision-making processes, align findings with strategic goals, and measure the ROI of data-driven initiatives. Participants will also explore frameworks for combining data analytics with intuition and domain expertise, ensuring balanced and informed decisions. By the end of the module, managers will understand how to embed a culture of data-driven thinking across their teams, fostering collaboration, innovation, and improved performance.

Challenges and Opportunities in Data Analytics
This module addresses the common challenges managers face when leveraging D&A and highlights ways to overcome them. Topics include managing data silos, ensuring data security, addressing biases in data and analysis, and scaling analytics capabilities across the organisation. Managers will also explore emerging trends in data analytics, such as predictive analytics, AI, and real-time data processing, to identify future opportunities. The session emphasises the importance of ethical considerations and compliance with data protection regulations such as GDPR. Participants will leave equipped with strategies to address risks while seizing opportunities, ensuring their organisation remains competitive in a data-driven landscape.