Data-Driven Decision Making

Course Dates :

27/10/25

31/10/25

Course ID:

251027001001129ESH

Course Duration :

5 Studying Day/s

Course Location:

London

UK

Course Fees GBP:

£5,151.66

  • Vat Not Included in the price. * VAT may vary depending on the country where the course or workshop is held.

Course Category:

Professional and CPD Training Programs

Digital Transformation, Technology Management

Course Certified By:

* ESHub CPD

* Professional Training and CPD Programs

Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate

Certification Will Be Issued From :


United Kingdom

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Information

Introduction

In the fast-paced world of modern business, the ability to make informed decisions has become more critical than ever. Data-driven decision making is the process of collecting, analyzing, and using data to guide business decisions. With the ever-increasing availability of data across industries, organizations are recognizing the value of leveraging this data to drive strategic initiatives, enhance operational efficiency, and achieve competitive advantages. This course is designed to equip participants with the necessary skills to make decisions based on data analysis rather than gut feeling or intuition, ensuring that business choices are grounded in facts and supported by reliable evidence.

Organizations today generate vast amounts of data, but transforming this data into actionable insights is a skill that requires specific tools, techniques, and a deep understanding of analytical methods. Data-driven decision making empowers leaders to use key performance indicators (KPIs), metrics, and data analysis to forecast trends, solve complex problems, and make strategic decisions with confidence. The course emphasizes not only the technical aspects of data analysis but also the interpretation and application of these insights in real-world scenarios.

With an emphasis on developing critical thinking and analytical capabilities, participants will learn how to identify, collect, and analyze relevant data. The course will cover various methods for interpreting data, including descriptive analytics, predictive modeling, and the integration of business intelligence tools. In addition, participants will be introduced to best practices for communicating complex data findings in a clear and concise manner, ensuring that all stakeholders understand the insights and are aligned with data-driven initiatives.

Furthermore, this course will delve into the ethical considerations of data usage. With the growing reliance on data for decision making, it is essential to understand the implications of data privacy, security, and bias. Participants will explore how to navigate the complexities of data governance and ensure that their decisions are both ethical and responsible. The course will also cover the limitations of data analysis and how to mitigate potential risks associated with overreliance on data without proper contextual understanding.

By attending this course, participants will gain hands-on experience with tools and techniques that will allow them to implement data-driven decision-making strategies in their own organizations. Real-world case studies and practical exercises will enhance learning, ensuring that participants can immediately apply what they have learned to their professional environments. Additionally, participants will learn how to integrate data-driven decision-making processes within their teams, leading to more effective collaboration and improved organizational performance.

Data-driven decision making is not just for data scientists or analysts; it is a skill set that every professional should develop to thrive in today’s data-centric world. By acquiring the tools and methodologies to interpret data accurately, leaders and managers can make better decisions, anticipate future trends, and create a data-driven culture within their organizations.

Objectives

By attending this course, participants will be able to:

Understand the principles of data-driven decision making and its role in modern business environments.
Develop the ability to collect, clean, and analyze data effectively using industry-standard tools and techniques.
Apply various data analysis methods, including descriptive and predictive analytics, to solve business problems.
Interpret data findings and translate them into actionable insights that inform strategic decision making.
Address ethical considerations related to data usage, including data privacy, security, and bias.
Integrate data-driven decision-making processes into their organizations and foster a culture of data literacy.
Communicate complex data insights clearly to stakeholders and ensure alignment with business objectives.
Evaluate the limitations of data and make informed decisions based on both qualitative and quantitative insights.

Who Should Attend?

This course is ideal for:

Business leaders, managers, and decision-makers looking to integrate data-driven strategies into their operations.
Professionals from any field, such as marketing, finance, operations, or human resources, who want to enhance their data literacy and improve decision-making processes.
Analysts, data scientists, and business intelligence professionals seeking to refine their analytical skills and learn how to communicate data findings to non-technical audiences.
Anyone interested in developing a stronger understanding of how data can be used to support business strategies, improve performance, and drive innovation.
Individuals who are responsible for managing teams or projects and want to ensure that their decisions are based on accurate, data-driven insights.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Outlines

Week 1
Day 1:
Introduction to Data-Driven Decision Making

Overview of data-driven decision making and its importance in business.
Understanding key data concepts and terminologies.
Types of data and how they influence business decisions.
Introduction to data collection methods and data cleaning processes.

Day 2:
Data Analysis Techniques

Exploring descriptive analytics and its role in decision making.
Introduction to predictive modeling and forecasting techniques.
Using data visualization tools to communicate insights effectively.
Hands-on exercises on analyzing and interpreting sample data sets.

Day 3:
Advanced Analytical Methods

Introduction to machine learning and its applications in data-driven decision making.
Evaluating and selecting the right analytical techniques for different business problems.
Integrating external data sources into analysis for richer insights.
Case study analysis on applying advanced analytics in real-world scenarios.

Day 4:
Ethical and Strategic Considerations in Data Use

Understanding data privacy, security, and ethical implications.
Identifying and mitigating bias in data collection and analysis.
Exploring the limitations of data and the risks of overreliance on data-driven decisions.
Best practices for developing ethical data governance policies in organizations.

Day 5:
Implementing Data-Driven Decision Making in Your Organization

Creating a roadmap for adopting data-driven decision making in your team or organization.
Building a data-driven culture: training, tools, and strategies for success.
Communicating data insights to stakeholders and fostering alignment.
Final case study presentation: applying data-driven decision-making strategies to solve a business challenge.

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Share by: