Upskill your people and teams to improve your digital maturity

Digital maturity is not defined by how much technology an organisation owns. It is defined by how confidently its people can use data to make decisions, solve problems and drive measurable impact. Most businesses still have a gap between the tools they have invested in and the skills required to turn those tools into value.

Our training programme closes that gap. Each session builds practical capability in the areas that matter most: strategy, governance, quality and modelling. The focus is clarity, confidence and real outcomes. No noise. No unnecessary complexity. Just the knowledge teams need to work smarter, reduce risk and deliver more value from the digital foundations you already have.

If you want your organisation to operate with stronger insight, faster decision making and a shared understanding of how data creates advantage, this is the starting point.

Training & Enablement

Data Strategy vs Data Governance

Length: 1 hour

Code: DS1

Track: Data Strategy

Defining strategy versus governance and linking data to Gate 1: Business Outcomes.

Foundation Business alignment

Building a Data Strategy Roadmap

Length: 1 hour

Code: DS2

Track: Data Strategy

Practical steps for vision setting, current state assessment and creating a realistic roadmap.

Foundation Roadmap

Key Pillars of a Modern Data Strategy

Length: 1 hour

Code: DS3

Track: Data Strategy

Exploring culture, analytics, architecture and data monetisation as core pillars.

Foundation Operating model

Connecting Strategy to Operations

Length: 1 hour

Code: DS4

Track: Data Strategy

How Strategy (Gate 1) triggers Governance (Gate 7) and is measured by Quality (Gate 3).

Intermediate Execution

Data Governance Fundamentals

Length: 1 hour

Code: DG1

Track: Data Governance

Core concepts of Governance (Gate 7), key principles and the 8-Gate Framework.

Foundation Governance

Ownership and Stewardship

Length: 1 hour

Code: DG2

Track: Data Governance

Defining Data Owner, Steward and Custodian roles and how they work together.

Foundation Roles & responsibilities

Data Forums and Communication

Length: 1 hour

Code: DG3

Track: Data Governance

Structuring Governance Councils and working groups aligned to Gate 8: Communication.

Intermediate Engagement

Metadata Management

Length: 1 hour

Code: DG4

Track: Data Governance

The role of business glossaries, data dictionaries and data catalogues in governance.

Intermediate Metadata

Policies and Standards

Length: 1 hour

Code: DG5

Track: Data Governance

How to create, approve and enforce practical policies and standards for data.

Intermediate Controls

Issues Management

Length: 1 hour

Code: DG6

Track: Data Governance

The formal process for logging, tracking and prioritising data issues.

Intermediate Risk

Root Cause Analysis

Length: 1 hour

Code: DG7

Track: Data Governance

Investigation techniques (Gate 4) to identify the true source of data errors.

Intermediate Problem solving

Foundations of Data Quality

Length: 1 hour

Code: DQ1

Track: Data Quality

Defining fit for purpose and exploring the six dimensions of Data Quality.

Foundation Quality

Data Quality Assessment and Profiling

Length: 1 hour

Code: DQ2

Track: Data Quality

How to measure quality (Gate 3: Assessment), profile data and build scorecards.

Intermediate Measurement

Data Remediation and Cleansing

Length: 1 hour

Code: DQ3

Track: Data Quality

Reactive fixes (Gate 6: Remediation) and practical techniques for cleansing bad data.

Intermediate Cleansing

Data Quality Improvement

Length: 1 hour

Code: DQ4

Track: Data Quality

Proactive fixes (Gate 5: Improvements) using Root Cause Analysis to improve upstream processes.

Intermediate Continuous improvement

Data Quality Monitoring and Reporting

Length: 1 hour

Code: DQ5

Track: Data Quality

Setting up dashboards and automated monitoring to keep data clean over time.

Intermediate Monitoring

Building the Business Case and Vision

Length: 1 hour

Code: HBG1

Track: Operating Model

Securing buy in, defining ROI, setting the mission and linking to Gate 1: Business Outcomes.

Executive Business case

Designing the Operating Model

Length: 1 hour

Code: HBG2

Track: Operating Model

Choosing centralised or federated models, designing the DG Office and defining Gate 7 structures.

Executive Operating model

The DG Roadmap and Prioritisation

Length: 1 hour

Code: HBG3

Operating Model

How to start small, select pilot projects and create a phased rollout plan.

Executive Roadmap

Measuring Success and Maturity

Length: 1 hour

Code: HBG4

Track: Operating Model

Defining KPIs, using maturity models and demonstrating value linked to Gate 8: Communication.

Executive Maturity

Tool Scoping and Vendor Selection

Length: 1 hour

Code: HIT1

Track: Tools

Defining requirements, running RFI or RFP processes and evaluating governance tool vendors.

Intermediate Tooling

Technical Implementation and Integration

Length: 1 hour

Code: HIT2

Track: Tools

Initial setup, connecting to data sources, configuring single sign on and user permissions.

Intermediate Integration

Populating the Tool

Length: 1 hour

Code: HIT3

Track: Tools

Strategies for automated and manual population of the business glossary, lineage and DQ rules.

Intermediate Adoption

Driving Adoption and User Training

Length: 1 hour

Code: HIT4

Track: Tools

The change management plan to ensure stewards and users make the tool part of daily work.

Intermediate Change

Foundations of Data Modelling

Length: 1 hour

Code: DM1

Track: Data Modelling

Why we model data and how conceptual, logical and physical models fit together.

Foundation Modelling

Relational Modelling (ERD)

Length: 1 hour

Code: DM2

Track: Data Modelling

Entities, attributes, relationships and the basics of normalisation (1NF, 2NF, 3NF).

Intermediate Relational

Dimensional Modelling (Star Schema)

Length: 1 hour

Code: DM3

Track: Data Modelling

Facts, dimensions and designing star versus snowflake schemas for analytics.

Intermediate Analytics