Data integration
Connect the systems that do not talk, CRM, ads, finance, operations, into one instrumented layer, so the numbers reconcile instead of drifting.
Services · Data & Insights
One source of truth, instrumented and reported.
Data integration, KPI instrumentation, dashboards, source attribution, and a dependable reporting cadence, built on the operations layer we rebuild first, so a metric means the same thing everywhere.
Most businesses do not lack data, they lack agreement on what it says. Zyos instruments the operations layer once so a KPI means the same thing on every dashboard and in every report. That is what turns reporting from an argument into a decision.
What we run
From scattered tools to one instrumented signal.
Six capabilities that turn disconnected systems into a single, legible source of truth.
KPI instrumentation
Define the metrics that matter and instrument them at the source, so a KPI means the same thing on every dashboard and in every report.
Dashboards
Live dashboards your team opens any time, built on the shared data layer, not hand-assembled spreadsheets that go stale the day after a meeting.
Source attribution
Tie outcomes back to the channel, campaign, or process that produced them, instrumented once so every report inherits legible attribution.
Reporting cadence
Formal reporting on a monthly delivery cycle with a delivery review against your goals, so the rhythm is dependable, not a last-minute scramble.
One source of truth
Every dashboard and report reads from one instrumented signal, so a metric is not up for debate and reviews start from agreement.
How it engages
Instrument it, then run the cadence.
The Opportunity Engine, our free audit, gap analysis, and strategy, is the front door that scopes and prioritizes the work. It is free because we partner by putting in the work first, finding the problems and shaping the roadmap before the engagement begins. From there Data & Insights takes one of the two engagement shapes. Implementation instruments the source of truth; Managed Operations runs the reporting cadence on a monthly cycle. Start with a few modules where you are most impacted, grow into the full bundle, then multiple bundles: a low entry point that grows with you, a partnered approach.
Implementation
Implementation is not just a build. For each area it runs three things together: Process Intelligence, the foundation the agentic framework runs on, the intake and mapping that tailors the solution to your problems, workflows, and needs, codified into Skills built for your program, and the module build itself, integrating the systems, instrumenting the KPIs, and standing up the dashboards and attribution on one source of truth. Fixed Price for a defined build, or Retainer when the work is continuous.
Managed Operations
The reporting cadence run for you, billed monthly: dashboards kept live, data kept reconciled, and formal reporting delivered, with optimization, insights, monitoring, support, maintenance, hosting, and security, on a monthly cycle with a delivery review. It scales as you add modules and bundles.
Data & Insights, FAQ
What buyers ask about dashboards and reporting.
Straight answers to what buyers ask about KPIs, attribution, and one source of truth.
What does the Data & Insights vertical deliver?
Data integration, KPI instrumentation, dashboards, source attribution, and a reporting cadence, all built on one source of truth. Instead of numbers scattered across tools that disagree, you get one instrumented signal your team and Zyos both read from.
What is a single source of truth and why does it matter?
It is one instrumented data layer that every dashboard and report reads from, so a metric means the same thing everywhere. Without it, marketing, finance, and operations quote different numbers and every review starts with an argument about whose figure is right. One source of truth ends that.
What is source attribution?
Source attribution ties outcomes back to where they came from, which channel, campaign, or process produced a result, so spend and effort can be judged on what they actually returned. It is instrumented once, at the data layer, so every report inherits it.
How does the reporting cadence work?
Dashboards are live and always available; formal reporting runs on a monthly delivery cycle with a delivery review against your goals. The point is a rhythm you can count on, not a scramble to assemble numbers before a meeting.
Where do AI agents fit in Data & Insights?
Agents are a delivery mechanism. They stitch and reconcile signals across systems, draft variance narratives, and prepare reporting packets for a human to review, always with a senior analyst accountable for what goes out.
Numbers you can act on
One source of truth, reviewed on a cadence.
When every dashboard reads from one instrumented signal, reporting stops being an argument and starts being a decision.