The answers are already in your data — Zell Analytics finds them as the numbers come in.
Whether capital is earning its return, where cost is leaking, which products and customers are moving the numbers: the evidence is spread across billing, network, finance and CRM in more detail than anyone can read.
Zell Analytics reconciles it into one governed set of figures, works out what changed and why, and puts that in front of your executive and senior teams while there is still time to act.
Revenue growth slowed to 2.1% this month.
Executives are drowning in data and starved of insight.
In digital infrastructure, the same questions keep coming back. What changed this month? Why? What do we do about it? The reporting shows the movement. Working out what caused it still falls to whoever is reading it, and senior staff get pulled into spreadsheet creation and manipulation just to get there. The result: decisions made later, and on weaker evidence, than they should be.
Where the gap costs you.
Fragmented data
Operational, financial and customer systems rarely agree on the same number. Reconciliation eats the team's week.
Manual interpretation
Analysts translate spreadsheets and dashboards into polished narrative by hand. Insight is slow, inconsistent and person-dependent.
Delayed decisions
The exec sees the explanation a month after the month it explains, when the quarter can no longer be changed.
Value leakage
A driver missed in March is lost revenue, margin drag and churn by June, and capital already deployed to the wrong places.
Three stages on one reconciled foundation.
Insight the same day, and every number traceable to source.
The cycle has to be fast enough to act on, and every figure an executive sees has to be traceable. Zell delivers both as a single connected system, each stage building on the one before. The whole platform runs inside your dedicated environment, and insight arrives in your team's existing tools: decks, dashboards, Excel, and AI clients like Claude or ChatGPT.
One trustworthy source of numbers, across every system.
Zell ingests from every relevant system — billing, network, finance, CRM — and reconciles them in a single governed view, with every step from source to figure traceable. This becomes the source your finance and ops teams can point at, without arguing about which number is right.
Drivers, risks and recommended actions — same day.
Industry-tuned calculation modules run deterministically inside Zell: revenue assurance, ARPU and churn decomposition, segment economics, performance benchmarking. Reporting and insight delivered the same day your data arrives.
Decision-ready narrative, delivered into the AI your team already uses.
Insight Agents turn calculations into narrative through an LLM running inside your dedicated environment — Azure OpenAI by default, with Anthropic, Google and other compatible major providers configurable. Your existing AI tools connect via MCP to pull the reconciled data and insights into the workflows your team already trusts.
Runs in your tenant, on the cloud you already use.
Zell deploys as SaaS in your chosen region, or inside your own Azure account. Reconciliation, calculation and the Intelligence Layer run inside the same tenant boundary. MCP exposes the reconciled data and the agent catalogue to your existing AI tools — without a new client to install.
Azure today, cloud-agnostic substrate (Spark, Delta, OIDC, SAML). On-prem and other clouds available as bespoke engagements.
SaaS in your chosen region, or inside your own Azure account. Single-tenant per customer, end to end.
REST API, SQL endpoint, MCP server, standard BI tools (Power BI, Grafana) and Excel (via Power Query). One set of controls across all of them.
Built under the StructureIt umbrella.
StructureIt has built systems for the financial sector since 2006 — two decades serving banks, asset managers, lenders and rating agencies, from offices across the UK, South Africa, the US, New Zealand and Mauritius.
Zell Analytics is delivered under the StructureIt compliance umbrella — ISAE 3000, SOC II Type 2 and FSQS, held at group level, with Zell's services operating within those controls.
Start with a pilot. Move into a license when value is proven.
A two-phase model that proves value before it asks for committed spend.
Pilot
- One-month and three-month flash insights by customer and by product, with top drivers attributed by percentage.
- Revenue dashboards surfacing your key metrics — revenue, ARPU, customers, churn and precinct build analysis — refreshed against the reconciled dataset.
- An Excel model for deeper analysis, with drill-down from headline figures to individual customer and product lines.
- A working set of reports aligned to your existing reporting cycle — including the executive narrative the platform produces each cycle — built on your data.
- An MCP connector that brings the reconciled data and insights into the AI tools your team already uses, like Claude and ChatGPT.
- A scoped view of which additional capabilities your current data already supports.