Data Optimisation
Nurture your data before making it intelligent.
Assured Digital, working with DATALO, helps organisations understand, optimise and govern data across its lifecycle. The result is a stronger foundation for security, agentic automation and AI-derived insights.
DATALO is the methodology
It turns fragmented, dispersed data into governed, insightful assets.
You have data. You do not yet have an estate you can confidently see or govern.
The problem
Most organisations carry data risk they cannot quantify, and opportunities they cannot liberate.
If you cannot describe where your data lives, who can access it, or how long it is kept, you are carrying risk you cannot measure and leaving value you cannot yet use.
DATALO Maturity Model: accessible summary
Four maturity levels: 01 Initial (fragmented), 02 Developing (visible), 03 Managed (governed), 04 Optimised (useful), across seven dimensions: Scope, Process, People, Security, Manage, Optimise, Utilise.
| Dimension | 01 Initial | 02 Developing | 03 Managed | 04 Optimised |
|---|---|---|---|---|
| Scope | Data comes from one or two systems. Everything else is out of view. | Key sources are being identified and partially catalogued. | Business-critical data domains are defined and mapped. | Scope spans the whole estate, with clear ownership throughout. |
| Process | Processes are manual and inconsistent from one team to the next. | Basic processes exist, but only in pockets of the business. | Standard processes are established and consistently followed. | Processes are integrated and increasingly automated. |
| People | Ownership is unclear and skills sit with a handful of people. | Some roles and responsibilities are starting to be defined. | Owners and stewards are assigned across every domain. | Cross-functional teams share strong, active ownership. |
| Security | Security controls are basic and applied unevenly. | Risk awareness is growing, with early access controls in place. | Security policies are applied consistently across critical data. | Controls are adaptive, resilient and adjust as risk changes. |
| Manage | Monitoring and reporting are minimal and largely reactive. | Reporting exists but relies on manual updates. | Regular dashboards and KPIs guide day-to-day management. | Monitoring is real-time, with automated alerts built in. |
| Optimise | There is no structured effort to improve how data is used. | Improvements happen occasionally, usually after something breaks. | Optimisation is continuous, with measurable impact tracked. | Optimisation is embedded into how the organisation operates. |
| Utilise | Data is used mainly to produce basic, backward-looking reports. | Data starts to inform day-to-day operational decisions. | Data supports both tactical and strategic decision-making. | Data actively drives innovation, performance and business value. |
Your data landscape does not mature in harmony.
Different systems, teams, controls and data domains mature at different speeds, so the landscape can fall out of alignment. See how visibility, ownership, control and usefulness change as it matures.
You have data. You do not yet have an estate you can confidently see or govern.
Select a dimension to see how it matures
DATALO lifecycle model, accessible summary
Data Lifecycle Optimisation moves through three phases, followed by the value they create. Management is where data is created and then ingested into the organisation's systems, platforms and workflows. Optimisation is the trust-building engine, made up of five disciplines known as the 5Cs: Collect, Classify, Curate, Consent and Control. As each C takes effect, the information's source becomes visible, gains context, loses noise, has its permitted use made explicit, and becomes governed and monitored. Utilisation is how that controlled information becomes useful: it is transformed, augmented and analysed, with AI, agents and automation acting only as a supporting, enabling layer, converging on Insight, the single gateway where trustworthy data reveals what matters. Underlying data layers, including infrastructure, metadata, core data and telemetry, become relevant at specific points in this journey rather than being shown all at once. Only once Insight is reached does the flow create value: Automation, Decision support and Value creation.
Data Lifecycle Optimisation is for life, not just for the audit.
It is a single coherent approach to continuously understanding, controlling and improving the data lifecycle. Data moves continuously through your organisation, so DATALO provides a practical structure for making it genuinely useful over time.
The lifecycle comes first. Technology follows.
Management
Where data is created and brought into the organisation.
Create → Ingest
Optimisation
How data becomes known, trustworthy and controlled.
Collect → Classify → Curate → Consent → Control
Utilisation
How trusted data becomes insight and useful outcomes.
Transform → Augment → Analyse → Insight
Value
What trusted insight makes possible.
Automation · Decision support · Value creation
Information is generated through people, systems, devices and activity.
Information is generated through people, systems, devices and activity.
Where to start
See where your data lifecycle stands in 2 minutes.
Answer 15 focused questions across Collect, Classify, Curate, Consent and Control. Get an instant, personalised view of where your data foundations are strong, where they are holding you back and what to prioritise next.
No workshop. No preparation. Your results appear immediately and your full report is sent to your inbox.
What the diagnostic looks at
Select an area to see what the diagnostic asks, and how it shapes your result.
What you get immediately
- 01
Overall diagnostic result: A clear snapshot of where your data lifecycle currently stands.
- 02
Indicative maturity stage: Initial, Developing, Managed or Optimised.
- 03
5C profile: The balance across Collect, Classify, Curate, Consent and Control.
- 04
Relevant peer comparison: How your profile compares with organisations facing similar challenges.
- 05
Personalised interpretation: The important patterns and dependencies across your answers.
- 06
Strongest foundations: What is already working and worth building on.
- 07
Optimisation opportunities: The weaknesses most likely to constrain trust, efficiency or AI readiness.
- 08
Priority area and next actions: Where to start and what evidence would show progress.
- 09
Full PDF report: Delivered directly to your inbox.
Sample result preview · illustrative
GeneratingDATALO Diagnostic · overall result
Peer benchmark
Behind the relevant peer group on every axis, most notably Control.
Hover an area on the left to see how it shapes the result.
Highest-priority optimisation area
Control
Strengthen accountability, access and evidence across the data lifecycle.
Strongest lifecycle area
Classification
Greatest opportunity
Control
AI-generated interpretation
Data is captured reliably in day-to-day work, but access, changes and decisions are not consistently governed or evidenced, which is the fastest way to lose trust as more of the estate is automated.
Full report sent to your inbox
Need to go deeper?
The diagnostic gives you a fast, directional view of your current position. If the results uncover something worth exploring, we can walk through them with you and, where useful, carry out a deeper Data Lifecycle Assessment to validate the findings, understand the underlying estate and shape a practical improvement plan.
Where technology fits
The platform follows the problem.
Many Microsoft 365 environments already include useful Purview capabilities. What is available depends on the licence. The important question is which controls you need, how they should be configured and how they fit the wider data estate.
Select a requirement
Information structure
SharePoint, Teams and OneDrive architecture, ownership and permissions.
SharePoint · Teams · OneDrive · Ownership · Permissions
Governance and control
Microsoft Purview, configured where it fits: classification, retention, DLP, audit and the sensitivity labelling that decides what Copilot and other AI tools can see.
Classification · Sensitivity · Retention · DLP · eDiscovery · Audit · Copilot readiness
Wider estate
Other SaaS platforms, third-party DLP, data catalogues and sector-specific tooling.
Other SaaS · Third-party DLP · Data catalogues · Sector tooling
The assessment identifies the requirement. Assured Digital implements the appropriate control, drawing on Purview where it fits and other tooling where it does not. Classification and access control decide what Copilot and other AI tools can surface, so this layer is usually the practical starting point for safe AI adoption.
Customer evidence
Data improvement in practice.
This is a genuine customer story, alongside verified proof from named clients. No case study, quote or outcome here has been invented.
Education & Membership · Microsoft, Cloud and Infrastructure · Data Optimisation · Cyber Resilience
Supporting ASDAN with data governance and Microsoft 365 control
“We can now think about the future, rather than how to get to Friday.”
Stronger cyber and data foundations gave ASDAN's leadership and trustees greater confidence to expand its qualification offer, support international growth and explore the secure use of AI.
Read the ASDAN story“It enables much better team working for our staff and is a robust and effective IT solution.”
Who this reflects
Data Optimisation runs alongside Microsoft 365, Cyber Resilience and Digital Support work already delivered for organisations including ASDAN, Bristol Beacon and Plantforce.
Related content
Customer story
A better way to respond when SARs start piling up
How Microsoft Purview and DATALO-led classification, curation and control helped a construction business handle Subject Access Requests with less searching.
Insight
Are personal phones and contractor devices in scope for Cyber Essentials?
What device access reveals about data scope and governance, with construction and infrastructure teams in mind.
Interactive guide
Would you trust your ex with your data?
Walk a subcontractor offboarding scenario and see what access typically remains after an account is closed.
Where to start
Start with a clearer view of your data.
Take the DATALO 5C diagnostic to see where your foundations are strongest, where gaps may be holding you back and what deserves attention first.
Connected services
Cyber Resilience
Better data control strengthens evidence, access management and incident response.
Microsoft, Cloud & Infrastructure
Microsoft 365, SharePoint, Teams and Purview often sit at the centre of data improvement work.
Digital Support Services
Managed support keeps the estate stable while governance work progresses.