Analytics & Data Contracts

Analyst pods that pipe straight into your platforms

We instrument your data stack, build bespoke dashboards, and operate predictive models—tightly coupled with Analyst Assistant, RealFlow Homes, and AgriFlow.

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What we deliver

Three modular services that plug into your data stack or ours.

Market & Portfolio Intelligence

Continuous insights into pricing, demand, occupancy, and supply chain signals.

Predictive Modeling Pods

Hands-on teams building forecasts, anomaly detection, and scenario planning.

Executive-grade Dashboards

Operational dashboards, board packs, and regulatory-ready reporting.

Our data stack

Full-stack analytics execution

We operate across ingestion, analytics engineering, and machine learning. Each engagement includes operating-model design, devops, and documentation so your team can take over when ready.

Data Engineering

Warehouse design
Real-time ingestion
Quality automation
Streaming + batch pipelines

Analytics Ops

Semantic layer design
Version-controlled metrics
Self-service enablement
Observability

AI & ML

ML experimentation
Production pipelines
Model monitoring
Responsible AI governance

Every data pod includes

Data engineers, analytics engineers, and data scientists on-demand

Weekly artifacts + governance built into our Analyst Assistant playbooks

SOC2-aligned processes, SSO/SAML, and per-client data residency

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Proof in market

Outcomes customers see with InsiTech Analytics

Proptech Portfolio

20 hours/week saved + ₦500M new revenue

Deployed Analyst Assistant with RealFlow Homes to automate reporting, tie operational metrics to investment dashboards, and plug into investor updates.

AgriFlow Network

35% reduction in spoilage + premium price lifts

Built a predictive supply chain layer on top of AgriFlow data, with alerts feeding directly into co-op logistics teams.

Cross-platform motion

Tie analytics engagements to our SaaS ecosystem

Analyst Assistant, RealFlow Homes, and AgriFlow share the same analytics DNA. We’ll recommend the right bundle and set up shared metrics from day one.