Compare response by appeal, channel and supporter segment.
Public sector, health, education and charity analytics
Evidence for organisations accountable to the public
S.W.P. Cognition brings service demand, budgets, workforce capacity and outcomes into a clear reporting view. Track student retention, patient pathways, care occupancy and contract performance without losing sight of how sensitive data is handled.
Your figures should support action as well as scrutiny. Start with the decisions people need to make.
What sits behind these measures?
Illustrative figures only. In a live dashboard, each measure would link to its agreed definition, reporting period, source and responsible data owner.
Plan around real service pressure
Service demand and capacity dashboards
Local authority dashboards and service reports work best when they show movement, not just a month-end total. See pressure by locality, cohort, service and referral route. Spot the pinch points sooner.
Referrals are rising over time
Compare incoming demand with staffed capacity over the same reporting periods. Use shared assumptions when planning expected demand changes.
Inspect measure definitions
Referral counts can be split by service, locality, cohort and route. Waiting time and backlog movement can be shown beside volumes rather than hidden in separate reports.
Capacity at a glance
Give operational teams and accountable officers a consistent view of pressure and delivery.
Make early support more targeted
Education analytics for retention and attendance
University student retention analytics can bring attendance, engagement and assessment patterns into one cohort view. Track recruitment from enquiry through enrolment, then follow course participation and outcomes. Keep the measure explainable.
Retention trend by cohort
Compare like with like across course, cohort and delivery mode. The example below is illustrative, not institutional performance data.
See where time and capacity go
Healthcare and care pathway insight
Healthcare data analytics can show how long people spend at each stage, where waiting builds and how appointment patterns affect available capacity. Care home dashboards can compare occupancy, dependency and staffing ratios. Activity is only part of the story.
Illustrative pathway duration view
Follow stage movement and volume together. Add outcome measures alongside activity so a higher throughput figure is not mistaken for better results.
How are pathway figures handled?
Stage durations and appointment patterns can be reported as aggregate measures. Personal detail should be included only where it is necessary for an agreed operational purpose.
Connect fundraising to delivery
Charity donor retention and campaign performance
Charity donor analytics can show where supporters lapse, which campaigns bring repeat gifts and how restricted funds map to delivery milestones. Give trustees a clear account of fundraising performance and service capacity. Keep the impact visible.
How can supporter cohorts guide follow-up?
Compare lapse risk by giving history and engagement, then agree appropriate contact timing with your fundraising team. Cohort indicators support judgement; they do not replace it.
Include campaign costs in a consistent comparison.
Track the next gift, not only the first response.
Relate fund reporting to agreed milestones and outcomes.
Set the rules before connecting data
Governance for sensitive and personal data
Governance belongs in the first design conversation. Agree what each dashboard needs, who can see it and how its figures can be checked. Make every measure accountable.
Minimise personal detail
Use aggregated or de-identified views when individual records are not needed for the decision.
Practical example
A committee report can show demand by locality and waiting-time band without exposing names or case notes.
Limit access by role
Match access to job responsibilities. Keep permission changes auditable and review them when roles change.
Practical example
Trustees can see board-level summaries while authorised operational staff see the detail needed for their work.
Agree retention and disposal
Set rules for each dataset before integration begins, and document how reporting figures are calculated.
Practical example
Record the source, reporting period, calculation logic and owner for each measure used in a board pack.
- Agree the purpose and minimum fields needed for each view.
- Document access roles and auditable permission changes.
- Set retention and disposal rules for every connected dataset.
- Keep calculation logic clear enough for boards, auditors and funders.
- Your organisation remains the data controller; processing arrangements should be documented.
- Read our privacy information.
A useful first conversation starts with your reporting duty
Arrange a governance-aware analytics discussion
Tell us which accountability question you need to answer. The first discussion covers reporting obligations, data sensitivity and the most useful first view for your organisation.