Digital Transformation - Data Awareness
Course ID: 260518 0101 115esH
Course Dates : 18/05/2026 Course Duration : 5 Studying Day/s Course Location: London, United Kingdom
Language: Bilingual
Course Category: Professional and CPD Training Programs
Course Subcategories:
Business Analytics & Insight Business Decision Making Change & Transformation Management Organisational Effectiveness Strategic Management
Course Certified By: ESHub CPD & LondonUni - Executive Management Training
* 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 London, United Kingdom
Course Fees:
VAT varies by course location and participant nationality.
Date has passed please contact us Sales@e-s-hub.com
Introduction
This five-day course teaches practical skills for working with organizational data. It shows how data is created, stored, and used across business processes. Participants learn how data quality, governance, and metrics affect decisions. The course emphasizes everyday tasks: asking the right questions, reading common reports, and collaborating with IT and analytics. Content is designed for people responsible for making or supporting data-driven changes.
Objectives
1. Map key data sources, flows, and owners for a selected business process.
2. Identify common data quality issues and use a simple checklist to prioritize fixes.
3. Define basic governance roles, policies, and handoffs relevant to your team.
4. Select and interpret a small set of core metrics to monitor performance and detect anomalies.
5. Prepare clear data requests and present findings to IT, analytics, and business stakeholders.
2. Identify common data quality issues and use a simple checklist to prioritize fixes.
3. Define basic governance roles, policies, and handoffs relevant to your team.
4. Select and interpret a small set of core metrics to monitor performance and detect anomalies.
5. Prepare clear data requests and present findings to IT, analytics, and business stakeholders.
Who Should Attend
1. Business analysts who work with operational data
2. Product managers responsible for data-driven features
3. IT managers or integration leads overseeing data pipelines
4. Data stewards, data owners, or compliance specialists
5. Transformation or program managers leading digitization projects
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
• Post-assessment
If Applicable:
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
Program Support
This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.
Course Agenda
Daily Schedule (Monday to Friday)
- 09:00 AM – 10:30 AM Technical Session 1
- 10:30 AM – 12:00 PM Technical Session 2
- 12:00 PM – 01:00 PM Technical Session 3
- 01:00 PM – 02:00 PM Lunch Break (If Applicable)
- Participants are expected to engage in guided self-study, reading, or personal reflection on the day’s content. This contributes toward the CPD accreditation and deepens conceptual understanding.
- 02:00 PM – 04:00 PM Self-Study & Reflection
Please Note:
- All training sessions are conducted from Monday to Friday, following the standard working week observed in the United Kingdom and European Union. Saturday and Sunday are official weekends and are not counted as part of the course duration.
- Coffee and refreshments are available on a floating basis throughout the morning. Participants may help themselves at their convenience to ensure an uninterrupted learning experience Provided if applicable and subject to course delivery arrangements.
- Lunch Provided if applicable and subject to course delivery arrangements.
Week 1
Day 1 – Foundations of Data Awareness
1. Understanding Organisational Data
- Types of business data
- Structured and unstructured data
- The role of data in decision-making
2. Data Sources and Data Flows
- Identifying key data sources
- Mapping data movement across business processes
- Defining data owners and responsibilities
3. Data Lifecycle Fundamentals
- Data creation and collection
- Data storage and maintenance
- Data usage, sharing, and retention
Day 2 – Data Quality and Governance
1. Data Quality Principles
- Accuracy, completeness, and consistency
- Identifying common data quality issues
- Applying data quality checklists
2. Data Governance Fundamentals
- Data ownership and stewardship
- Governance policies and standards
- Roles and responsibilities
3. Managing Data Risks
- Protecting sensitive information
- Compliance and regulatory requirements
- Managing data access and security
Day 3 – Working with Business Metrics
1. Understanding Business Metrics
- Key Performance Indicators (KPIs)
- Operational and strategic measures
- Selecting meaningful metrics
2. Reading Business Reports
- Interpreting dashboards
- Recognising trends and patterns
- Identifying anomalies and exceptions
3. Asking Better Data Questions
- Defining business objectives
- Framing analytical questions
- Supporting evidence-based decisions
Day 4 – Collaborating with Data Teams
1. Working with IT and Analytics
- Communicating business requirements
- Preparing effective data requests
- Supporting analytics projects
2. Data for Digital Transformation
- Supporting process improvement
- Using data to guide change initiatives
- Monitoring transformation outcomes
3. Presenting Data Findings
- Explaining data clearly
- Using simple visual summaries
- Communicating recommendations to stakeholders
Day 5 – Practical Data Awareness Workshop
1. Business Data Mapping Exercise
- Mapping a business process
- Identifying data sources and owners
- Highlighting quality improvement opportunities
2. Data Quality Assessment
- Applying a data quality checklist
- Prioritising corrective actions
- Reviewing governance responsibilities
3. Implementation Planning
- Developing a data awareness action plan
- Defining improvement priorities
- Course review, feedback and implementation planning
