# Data Infrastructure & Reporting

> The pipelines and warehouse your analytics and AI initiatives actually need underneath them.

**Category:** Models & Infrastructure
**Rate:** $150–$250/hr, scoped after a free 20-minute consult
**Provider:** r.blackman (Ryan Blackman and Noaman S'Bouria)

## Overview

Analytics and AI projects tend to get the attention, while the pipelines feeding them get built as an afterthought and never revisited. This engagement builds that foundation deliberately: automated pipelines into a warehouse structured around how your team actually reports, with a BI layer on top people trust, and data shaped so it's usable by AI tools later instead of only by human readers today.

## Sound familiar?

- Every report requires manually pulling data from three different systems
- You want to use AI on your data but it's scattered, inconsistent, or untrustworthy
- Your BI tool is set up but nobody maintains or trusts what's in it

## What the engagement looks like

### Pipeline and warehouse setup

Clean, automated data pipelines feeding a warehouse built for how your team actually reports.

### BI and dashboard implementation

A reporting layer on top, built to match the decisions from your Analytics & Decision Intelligence work.

### AI-readiness cleanup

Data structured so it's usable by AI tools and models later, not just human readers today.

## Good fit if you're...

- Growing companies that outgrew spreadsheets and ad hoc exports
- Teams about to start an AI project that need clean data first
- Anyone whose "single source of truth" isn't actually one

## FAQ

**What data warehouse or stack do you recommend?**

It depends on your data volume, budget, and existing tools. Common choices are BigQuery, Snowflake, or Postgres for smaller setups. The recommendation comes after understanding your actual usage, not a default preference.

**Can this work alongside our existing BI tool?**

Usually, yes. Most engagements clean up and structure the data feeding your existing BI tool rather than replacing it, unless the tool itself is genuinely the wrong fit for your team's size.

**How does this relate to the AI Hardware & Infrastructure service?**

This service is about your data layer: pipelines, storage, and reporting. AI Hardware & Infrastructure is about the compute you run models on. They're independent, and most companies only need one at a time.

## Related services

- [Voice AI Consulting](https://rblackman.ai/services/voice-ai-consulting.md)
- [Open Source Model Consulting](https://rblackman.ai/services/open-source-model-consulting.md)
- [AI Hardware & Infrastructure](https://rblackman.ai/services/ai-hardware-infrastructure.md)

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Full page: https://rblackman.ai/services/data-infrastructure-reporting/
Book a free 20-minute consult: https://rblackman.ai/contact/