Data & Analytics
Your data, in shape to support decisions and AI
From the initial survey to the data platform, governance and dashboards. The foundation any GenAI initiative later stands on.
From scattered data to a single source of truth
Most analytics and AI projects don't fail because of the model: they fail because of the data. This line covers the full path — understanding what data you have, building the platform that organizes it, governing it with security criteria, preparing it for AI and giving the business dashboards people actually use.
Data & Analytics
What this line covers
Data Audit
Source inventory, quality, governance and AI-readiness, with a prioritized roadmap.
Learn moreData Platform
Lake, warehouse or lakehouse on AWS, with reproducible, monitored pipelines.
Learn moreData Governance & Security
Catalog, fine-grained access, encryption and traceability on your data platform.
Learn moreAI-Ready Data Preparation
A curated, indexed and evaluated corpus so your assistants answer accurately.
Learn moreData-connected Agents
The tool and permission layer that connects your agents to your data and systems.
Learn moreDashboards & Reporting
Self-service analytics with QuickSight and Amazon Q, with KPIs defined alongside the business.
Learn moreData & Analytics is the step before GenAI
We separate Data & Analytics from GenAI because they involve different sales cycles and teams, but in practice they chain together: an assistant that answers well is almost always the result of well-prepared data.
See the GenAI lineHow we work
Discovery
We understand which business questions can't be answered today, and why.
Plan & Quote
We define scope, data architecture and a staged roadmap, at a closed price.
Execution
We build pipelines, governance and dashboards incrementally, delivering value at each stage.
Hand-off & MSP
We train the data owners and leave everything monitored. We can operate it for you.
FAQ
Do I have to fix all my data before doing AI?
Not all of it: the data that feeds the use case. The Data Audit exists precisely to tell you what to fix and in what order.
Where do I start if I don't know what shape my data is in?
With the Data Audit. It gives you the inventory, the quality diagnosis and a prioritized roadmap with cost estimates.
Do I need a data warehouse or a lakehouse?
It depends on your workloads and your volume. We settle that during platform design, not before.
Can it be done without an in-house data team?
Yes. We bring the team and train yours so it can sustain and evolve the platform.
