What we do · Analytics & Dashboarding
Analytics and Dashboarding · Boxes printed
What we do·Analytics & Dashboarding

Analytics & Dashboarding

The dashboard kept alive, the data underneath it tested, and the routines your own team can re-run.

What actually breaks

The dashboard is built once, believed forever.

A board dashboard is built in a sprint, looks superb, and is presented as the single view of the organization. By month six two feeds have broken silently, three metrics are computed differently from their published definitions, and one has been dropped without anybody deciding to drop it.

Nobody re-tests it, because everybody assumes somebody does. A dashboard with two wrong numbers is more dangerous than no dashboard, because it is trusted.

The comparison

Bought as a project. Delivered as a product.

Neither column is a caricature. The left is how this work is bought almost everywhere, including by people who dislike it.

How this is normally bought
A dashboard delivered, then owned by nobody
Metrics whose definition lives in the builder's head
Data quality assumed because the report renders
Analytics that only run when a consultant is in the building
How it works here
Definitions and feeds re-tested every quarter, with drift reported
Definitions published beside the dashboard, so a disputed number has an answer
Tested for completeness, accuracy, timeliness, validity and lineage
A test library your own team re-runs, validated against known results
The schedule

A baseline, then a quarterly loop.

Analytics work is bought as a subscription where the artefact is permanent, and as an engagement where it is not.

Baseline
Definitions re-derived

What each number means, who owns it, what the source is, what the baseline was.

Baseline
Feeds traced end to end

Including the manual step somebody does in a spreadsheet on the third of the month.

Partner gate
Every quarter
Re-test and report drift

Feeds re-verified, definitions re-confirmed, retirements proposed.

Partner gate
Never
Building it

Standing up the dashboard is Signify Solution work. We keep it alive; we do not build it.

Why it repeats

Kept alive, not stood up.

The boundary is the product here: building is Solution work, and the half we sell is the half nobody else wants to own.

3
offerings — one subscription, two engagements
5
dimensions tested in a data quality assessment
12
credits per metric, published
0
dashboards we build ourselves

Methodology 2026.2 — bumps when a box, a gate or a testing standard changes — never for a copy edit. Read it at working depth, including what we hold back and why, on the method page.

Inside this area

Inside everything, and now on its own.

Line 01 of every audit box on this site is analytics on your own data — volumes, exceptions, duplicates, overrides, drift. That was always here. What is new is analytics sold on its own: a dashboard whose definitions and feeds are re-tested every quarter, a diagnostic on the data underneath it, and a test library your audit team runs without us.

Engagements

2 engagements, every box printed.

Tap any one to read its scope box — what we analyze, how scope gets chosen, what is tested, what the report contains, and what the remediation plan does and doesn’t include. Prices come from one published formula.

Family C · Function build

Function build — your own function’s infrastructure.

E2  Audit Analytics Enablement — 8 routines · 780 credits · $39,000 +
The box780 credits · $39,000
  • 01Test library built — the recurring analytics your plan needs, written as routines your own team can re-run without us
  • 02Data access documented — where each extract comes from, who authorizes it, how it refreshes, and what breaks when a source system upgrades
  • 03Routines validated against known results — an analytic nobody has proven is an opinion with a chart attached
  • 04Handover and training — your team runs these next quarter. If they cannot, we have not finished
  • 05Stood up in Clarus beside the methodology, so the routines survive the person who learned them
Count agreed at scope lock, before fieldworkThe formula never moves

Family C because it builds your function's own capability — the same precedent that lets us rebuild your universe and write your methodology without crossing the guardrail.

Family B · Assessment

Assessment — a diagnostic, no assurance opinion. Bought by the function’s own head, except where the item is a procedure.

E1  Data Quality Assessment — 5 data domains · 650 credits · $32,500 +
The box650 credits · $32,500
  • 01Scope agreed by data domain — the data your controls, reports and dashboards actually depend on, not the data that is easiest to extract
  • 02Tested for completeness, accuracy, timeliness, validity and lineage — on your data, not on a sample you prepared for us
  • 03Root causes separated from symptoms — a reconciliation break is a symptom; the process that creates it is the finding
  • 04Findings report with the business consequence of each defect stated plainly, including which reports are currently wrong
  • 05Recommendations — fix, control, or accept and disclose. An assessment, not assurance
Count agreed at scope lock, before fieldworkThe formula never moves

A diagnostic, so management commissions it — if internal audit commissions an opinion on data quality, that is an audit and it should be scoped as one.

Anything here can join a plan built in any other area — a penetration test can sit inside an internal audit year. Build a plan →

What we do · Analytics & Dashboarding

One thing worth knowing before you buy.

Every recurring service we run forecloses the assurance over it. If we keep your framework alive we cannot audit it, and if we audit it we cannot keep it alive. You choose which, we print the consequence before you buy rather than after, and where an Audit Committee relationship already exists we protect it.