The AI Adoption Gap: What’s Really Holding Public Sector Organisations Back?
Summary of a talk exploring why AI, despite its success at an individual level, has struggled to become a meaningful force for organisational delivery.
PPDS Education Centre
A practical education centre for understanding the Programme and Project Data Standard (PPDS), what it means for government project delivery, and how to prepare your organisation.
Explore guides, videos, articles, FAQs and practical resources covering everything from the fundamentals to individual data entities and compliance readiness.
Programme and Project Data Standard
Seven core data entities
New to PPDS?
If the Programme and Project Data Standard is new to you, start with these three questions.
Understand what the Programme and Project Data Standard is, why it was introduced and what it changes for government programme and project data.
Understand how accountability flows from Accounting Officers and Chief Data Officers through to Portfolio Directors, SROs and data stewards.
Start assessing your current data environment, identify gaps against the standard and build a clear implementation plan.
PPDS Basics
The Programme and Project Data Standard (PPDS) establishes a common approach to how programme and project data is defined, formatted and maintained across government.
Before the standard, different departments, teams and systems could record the same types of project information in different ways. Milestones, risks, costs, benefits and other project data were not always directly comparable.
The standard creates a common language for programme and project data, making information more consistent and easier to understand, compare and use.
The Standard
The Programme and Project Data Standard is structured around seven core types of programme and project information: Project Features, Risk, Issues, Milestones, Benefits, Cost and People.
The identification, classification and core information that describes a programme or project and links its data together.
How risks are identified, categorised, scored, owned, updated and responded to.
How issues are identified, classified, owned, responded to and maintained once a risk or event has materialised.
How planned, forecast and actual milestone dates are structured, including baselines, critical-path status and milestone categories.
How benefits are classified, owned, valued and tracked through to realisation.
How project costs are structured across monthly, financial-year and whole-life views, including RDEL and CDEL.
How project workforce data is captured, including headcount, FTE, vacancies, contractors and project-delivery roles.
Not necessarily. Smaller programmes and projects may not need every entity where that information is not required to manage the work effectively.
Governance
The Programme and Project Data Standard defines clear responsibilities for programme and project data across the organisation, from Accounting Officers down to the data stewards who maintain it day to day.
Accountable for how information and data are managed across their organisation.
Responsible for establishing clear expectations for data management and supporting compliance with data and security requirements.
Responsible for ensuring the organisation's programme and project data meets the requirements of the standard.
Portfolio Directors are responsible for portfolio data, while the SRO acts as the data owner for an individual programme or project.
The people responsible for creating, maintaining and using specific project data in line with the standard.
Data Quality
The Programme and Project Data Standard connects programme and project information to six dimensions of data quality: completeness, uniqueness, consistency, timeliness, validity and accuracy.
Required records and essential values are present.
Records are not duplicated and unique identifiers are used consistently.
Related data points do not contradict one another.
Information is reviewed and updated at the required frequency.
Data follows the required format, categories and permitted values.
Information reflects reality and uses consistent definitions.
These dimensions provide a useful framework for assessing the quality of your existing programme and project data before looking at individual PPDS attributes.
PPDS Readiness
For most organisations, preparing for the Programme and Project Data Standard begins with understanding what already exists and where current practices differ from the standard.
Step 1
Understand your current programme and project data environment, systems and data-management practices.
Step 2
Compare current data against the requirements for each relevant entity and attribute.
Step 3
Identify data owners and stewards and make responsibilities clear.
Step 4
Create a documented implementation plan covering the changes, activities, owners and timelines required.
Step 5
Update processes, systems and data practices and test whether information meets the required definitions, formats and validation rules.
Featured Resource
Download our information guide for a clear introduction to the Programme and Project Data Standard and what it means for programme and project teams.
Guides & Checklists
Use practical tools to assess your current position against the Programme and Project Data Standard, understand individual requirements and plan your next steps.
Checklist
A practical checklist for understanding where your organisation stands today and where preparation needs to begin.
Checklist
Review which of the seven data entities apply to your programmes and projects and identify where the biggest gaps sit.
Guide
Understand what a credible PPDS implementation plan should cover, from current-state assessment through to ownership and delivery.
Guide
Understand the validation rules and data-quality checks that need to be considered as part of implementation.
Watch & Learn
Short, practical explanations of the Programme and Project Data Standard, who it affects and what individual requirements mean in practice.
A three-minute introduction to the Programme and Project Data Standard, who it affects and why it matters.
Understand how responsibility flows through government organisations and what PPDS means for Accounting Officers, CDOs, SROs and data stewards.
Understand the three-tier risk scoring model, PPDS risk attributes and the rule that can turn a risk into an issue.
PPDS Insights
Go deeper into individual areas of the Programme and Project Data Standard with practical guidance for programme and project teams.
Summary of a talk exploring why AI, despite its success at an individual level, has struggled to become a meaningful force for organisational delivery.
Government is now preparing for one of the most important shifts in portfolio management in recent years: the Programme and Project Data Standard.
Government is now preparing for one of the most important shifts in portfolio management in recent years: the Programme and Project Data Standard.
PPDS FAQ
Straightforward answers to common questions about the Programme and Project Data Standard.
The Programme and Project Data Standard establishes common rules for how programme and project information should be defined, formatted and maintained. Its purpose is to create more consistent and comparable project-delivery data across government.
The standard applies to programmes and projects undertaken within or across government departments and their arm's length bodies. The specific data entities required may vary depending on what an individual programme or project needs to manage effectively.
The seven core entities are Project Features, Risk, Issues, Milestones, Benefits, Cost and People.
Not necessarily. Smaller programmes and projects may not need every entity where that information is not required to manage the work effectively. Teams should understand which entities apply to their project rather than creating unnecessary data.
The Senior Responsible Owner is identified as the data owner for an individual programme or project, with accountability for the overall quality and appropriate use of its data. Data stewards can manage individual data entities day to day.
A data steward is responsible for creating, maintaining and using specific programme or project data in line with the standard. Existing project-team members can act as data stewards for the information they already manage.
Not necessarily. Someone already responsible for maintaining a risk register, milestone plan, benefits tracker or another project dataset may act as the data steward for that entity.
Full compliance means in-scope programme and project data is defined, formatted and updated in line with the relevant attribute requirements of the standard.
The starting point is to understand the limitation, identify the gap and document the changes required to move towards compliance. A credible implementation plan should cover the current environment, gaps against the standard, required activities, ownership and timelines.
Completeness, uniqueness, consistency, timeliness, validity and accuracy.
Unique identifiers allow projects, risks, issues, milestones, benefits and related information to be reliably distinguished, linked and analysed without duplicate or ambiguous records.
PPDS risk data includes separate inherent, current and residual risk positions, structured categories, defined update frequencies, ownership information and validation rules.
When current risk likelihood reaches the maximum score of 5, the risk should be treated as an issue and managed using the issue entity.
The planned date acts as the baseline, while the forecast date reflects when the team currently expects the milestone to complete. Keeping the two separate allows slippage to be measured.
Benefits data includes identifiers, descriptions, ownership, Green Book classifications, forecast and actual values, realisation dates, beneficiaries and links to business-case and strategic objectives.
People data includes measures such as headcount, approved FTE, funded and in-post FTE, vacancies, contractor and contingent-worker FTE and project-delivery roles.
Start by understanding your existing programme and project data environment, identifying which entities apply, assigning ownership and comparing current information against the standard's requirements.
Further Reading
Verto's Education Centre is designed to make the Programme and Project Data Standard easier to understand and implement. For authoritative requirements and government guidance, always refer to the official source material.
PPDS Education Centre
Explore the guidance, understand your data and build a practical path towards the Programme and Project Data Standard.
Verto Newsletter
Discover tools, stories, and insights that help leaders deliver meaningful change across their organisations.