15 - 19 Sep 2025
London (UK)
Hotel : Landmark Office Space - Oxford Street
Cost : 6000 € Euro
In today’s fast-paced and hyper-competitive business environment, data has emerged as one of the most valuable assets an organization can possess. Effectively leveraging data enables companies to unlock deep insights, enhance decision-making, drive innovation, and create sustainable competitive advantages. The ability to harness data strategically differentiates industry leaders from laggards.
The "Leveraging Data as a Competitive Advantage" program, designed by Global Horizon Training Center, is tailored specifically for managers who seek to transform data into actionable intelligence. This program blends strategic frameworks with practical analytics skills, enabling participants to lead data-driven initiatives that boost performance, optimize operations, and improve customer engagement.
By the end of this program, participants will be able to:
Understand the strategic value of data as a core organizational asset.
Identify key sources and types of data relevant to their business context.
Develop data-driven decision-making processes and frameworks.
Utilize analytical techniques and tools to extract insights from data.
Foster a data-driven culture and overcome common barriers.
Integrate data analytics into business strategy and competitive positioning.
Measure the impact of data initiatives on organizational performance.
This course employs a blended learning approach including:
Instructor-Led Interactive Lectures focusing on strategic and practical aspects of data use.
Hands-On Exercises utilizing data analytics tools and visualization software.
Real-World Case Studies highlighting successful data-driven transformations.
Group Workshops to design data strategies and solve business challenges.
Discussions and Q&A Sessions to exchange ideas and best practices.
Templates and Frameworks for immediate application in the workplace.
Organizations adopting the principles of this program will experience:
Enhanced ability to make evidence-based strategic decisions.
Improved operational efficiencies through data insights.
Greater innovation driven by data-backed product and service development.
Strengthened competitive positioning through market intelligence.
A cultural shift towards data literacy and continuous improvement.
Increased agility in responding to market and customer trends.
This course is designed for:
Mid to senior-level Managers across functions
Business Unit Heads and Department Leaders
Strategy and Planning Managers
Data and Analytics Managers looking to influence business strategy
IT Managers working closely with business functions
Innovation and Digital Transformation Leaders
Any manager responsible for driving performance improvements through data
Day 1: The Strategic Importance of Data
Data as a Strategic Asset: Concepts and Trends
Understanding Data Ecosystems: Internal and External Sources
Competitive Advantage through Data: Case Studies
Building a Business Case for Data-Driven Transformation
Workshop: Assessing Your Organization’s Data Maturity
Day 2: Data Governance and Quality
Foundations of Data Governance and Compliance
Data Quality Management: Ensuring Reliability and Accuracy
Ethical Considerations and Privacy Regulations (GDPR, CCPA, etc.)
Establishing Roles and Responsibilities for Data Stewardship
Exercise: Designing a Data Governance Framework
Day 3: Analytics Tools and Techniques
Overview of Descriptive, Predictive, and Prescriptive Analytics
Data Visualization Best Practices for Managers
Introduction to Key Analytical Tools and Platforms
Identifying Key Performance Indicators (KPIs) and Metrics
Hands-On: Building Dashboards and Reports
Day 4: Driving Data-Driven Decision Making
Embedding Analytics into Business Processes
Overcoming Resistance and Building a Data Culture
Storytelling with Data: Communicating Insights Effectively
Change Management for Data Initiatives
Group Activity: Crafting a Data-Driven Decision Framework
Day 5: Implementing Data Strategies for Competitive Advantage
Aligning Data Strategy with Business Goals
Leveraging Big Data, AI, and Machine Learning Opportunities
Measuring ROI and Impact of Data Projects
Scaling Data Initiatives Across the Organization