DATA & ANALYTICS
Turn scattered data into decisions and AI.
Data trapped across disconnected systems can't power good decisions or good AI. Stack18 builds the pipelines, models, and dashboards that turn scattered data into something your team can actually act on.
Most organizations have more data than they can use and less clarity than they need. Stack18 builds the data infrastructure — pipelines, warehousing, and models — that turns raw, scattered data into dashboards decision-makers trust and a foundation your AI initiatives can actually build on.
WHAT'S INCLUDED
What Data & Analytics with Stack18 includes.
From scattered source systems to a governed data platform that powers decisions and AI.
Data audit & strategy
An assessment of your current data sources, gaps, and quality issues, with a prioritized roadmap.
Data pipeline engineering
ETL/ELT pipelines that reliably move and transform data from source systems into a usable form.
Data warehousing
A modern warehouse or lakehouse architecture designed for your query patterns and scale.
Dashboards & reporting
Self-service dashboards and reports built around the decisions your teams actually need to make.
Data governance
Access controls, lineage, and quality monitoring built into the pipeline, not bolted on after.
AI/ML-ready infrastructure
Data infrastructure structured to directly feed AI and machine learning initiatives.
HOW IT WORKS
The same governed pipeline, applied to data platforms.
Every Stack18 engagement runs on one workflow — discovery, architecture & design, build & assure, deploy & operate — with a named human owner approving each gate.
Audit the data
Map source systems, gaps, and quality issues into a prioritized data roadmap.
Design the platform
Architect pipelines and warehousing for your query patterns and governance needs.
Build & validate
Ship pipelines, dashboards, and models, tested against real data quality issues.
Operate & govern
Monitor pipeline health and data quality, with access controls enforced continuously.
WHY STACK18
Why companies choose Stack18 for data & analytics.
Built for real query patterns
Warehouse and pipeline architecture is designed around how your teams actually need to query and report.
Governed from the start
Access controls, lineage, and data quality monitoring are part of the pipeline design, not an afterthought.
Ready to power AI
Data infrastructure is structured to directly feed your AI and machine learning initiatives, not just dashboards.
Engagements start at $100K/yr.
Pricing depends on scope, number of products, and how much you want Stack18 to run versus own.
FAQ
Questions about Data & Analytics.
What data sources can you work with?
Pipelines are built to connect to your existing databases, SaaS tools, APIs, and event streams — the data audit phase maps exactly what needs to be integrated.
Do you build the dashboards or just the pipeline?
Both. Data engineering (pipelines and warehousing) and the dashboards or reports on top are scoped together, so the data is actually usable, not just centralized.
How does this connect to AI product development?
Well-structured, governed data is the foundation most AI features need. Data platforms built by Stack18 are designed to feed directly into AI Product Development and AI Transformation engagements.
RELATED SERVICES
Explore more of what Stack18 builds.
Ready to talk about Data & Analytics?
Book a briefing. We'll pressure-test your idea, map it to the workflow, and show you exactly what the first weeks produce.