# ZCT Consulting | Managed Data Platform

> All-in-one managed data platform with 700+ data sources, AI-ready foundation, expert pipelines, and certified dashboards — live in days, not months.

Canonical base URL: https://managed-data-platform.com/
Curated overview: /llms.txt
Complete URL inventory: /sitemap.xml

## Product overview

Managed Data Platform is an all-in-one managed data platform for startups and growth teams. It connects 700+ data sources, builds an AI-ready foundation with expert pipelines, and delivers certified dashboards, self-service analytics, and AI insights without hiring a data team or building infrastructure. Most customers are live in days, not months — skipping the engineering bottleneck that stalls enterprise BI rollouts.

Most AI projects fail because the data layer isn't ready. We build the foundation (clean, modeled, and unified) so dashboards, copilots, agents, and custom models all run on data you can trust.

### Core capabilities
- **700+ data sources**: Connect your entire stack: payment processors, CRMs, marketing tools, and more.
- **AI foundation layer**: A unified, modeled data layer built for AI from day one, powering insights, agents, copilots, and custom models on data you can trust.
- **Data transformations by experts**: Expert-built pipelines that clean, model, and document your data: the groundwork every AI capability depends on.
- **Certified dashboards**: Expert-designed dashboards deployed almost immediately — no three-month modeling project before anyone sees a number.
- **Activate your data in 200+ destinations**: Push cleaned data into CRMs, ad platforms, and marketing tools so your teams can act on it where decisions happen.
- **Self-service analytics & AI insights**: Explore data, build dashboards, and ask questions in plain English. Self-service analytics and AI-powered insights on the same trusted foundation.
- **Unlimited seats**: Invite all your team members to collaborate on your data and dashboards.
- **User permissions management**: Grant access to your data to your team members.
- **Dedicated GitHub repository**: Version control your data transformations and collaborate with your team.
- **Your own BigQuery storage**: Data lands in your BigQuery project while we manage data sources, pipelines, and analytics. Or connect to BigQuery you already use.
- **10 hours data consulting included**: Expert time every month to build, fix, and optimize.
- **All cloud costs included**: Except BigQuery processing costs when data is stored in your own project.
- **Live support**: Real-time help when you need it.

### Why teams choose us
- **AI-ready from day one**: Not a dashboard tool with AI bolted on. A managed foundation layer designed so every AI capability in your business runs on clean, unified data.
- **Live in days, not months**: Skip the engineering bottleneck. We connect sources, model your metrics, and ship certified dashboards almost immediately — not after a quarter of setup.
- **Predictable all-in pricing**: One monthly fee covers the platform, cloud costs, and expert support. No surprise bills.
- **No vendor lock-in**: Standard tools on Google Cloud and GitHub. You own your data and can take it with you.

## Key pages
- [Home — primary product overview and pricing](https://managed-data-platform.com/): Home — primary product overview and pricing
- [Features — full platform capabilities](https://managed-data-platform.com/features): Features — full platform capabilities
- [Pricing — Your BigQuery vs Full managed plans](https://managed-data-platform.com/pricing): Pricing — Your BigQuery vs Full managed plans
- [Free Scaling Data Audit — for funded startups](https://managed-data-platform.com/audit): Free Scaling Data Audit — for funded startups
- [Data sources — browse 722+ connectors](https://managed-data-platform.com/data-sources): Data sources — browse 722+ connectors
- [Blog — articles and product updates](https://managed-data-platform.com/blog): Blog — articles and product updates
- [Privacy Policy](https://managed-data-platform.com/privacy-policy): Privacy Policy
- [Cookie Policy](https://managed-data-platform.com/cookies): Cookie Policy
- [Terms of Service](https://managed-data-platform.com/terms-of-service): Terms of Service

## Free Scaling Data Audit

Just raised funds? Book a free scaling data audit. Map your data gaps, investor metrics, and the fastest path to investor-grade analytics in weeks — without hiring a data team.

### Audit includes
- Current data stack and connector review
- Investor & board metrics gap analysis
- Recommended metrics model for your stage
- Timeline and cost estimate to go live
- Clear build vs. buy recommendation

### Who it's for
- Seed to early Series B startups
- Founders, CTOs, and Heads of Product/Growth
- Teams with scattered data across product, marketing, and finance
- Companies pressured to deliver investor-grade metrics

## Frequently asked questions

### What is the Managed Data Platform?

An all-in-one platform that connects your data sources, builds an AI-ready foundation with expert pipelines, and delivers certified dashboards, self-service analytics, and AI insights. It's the data layer every AI capability in your business can build on. Includes 10 hours of consulting, unlimited seats, and live support.
### Is the platform really AI-ready?

Yes, and it's built as a foundation layer, not an add-on. We unify your data into clean, modeled tables with consistent definitions and lineage. That means natural language queries, AI insights, predictive models, agents, and copilots all run on the same trusted source of truth, not scattered exports or siloed tools.
### How quickly can I get started?

Most customers are live within days — not the months startups typically spend modeling data before anyone sees a dashboard. We handle infrastructure, data source setup, transformations, and certified dashboard deployment so you skip the engineering bottleneck. You can also try a demo account before committing.
### Can I use my existing BigQuery instance?

Yes. We can connect to your existing GCP BigQuery instance. Data processing costs would apply to your GCP bill; all other platform costs are included.

## Blog posts

- [E-commerce Profit Clarity: Shopify, Klaviyo, Meta Ads, and Stripe in One View](https://managed-data-platform.com/blog/undefined): Funded DTC brands drown in dashboards. Here's how to unify Shopify, ads, email, and payments into investor-ready profit clarity—without hiring a data team first.

## Data sources

The platform supports 722+ pre-built connectors across categories including Database, Engineering, Events, File, Finance, Function, HumanResources, Marketing, and more.
Browse the full directory at https://managed-data-platform.com/data-sources.
Individual connector pages live at /data-sources/<slug> and are listed in /sitemap-data-sources.xml.

## Discovery files

- [Sitemap index](https://managed-data-platform.com/sitemap.xml): Machine-readable URL inventory
- [Pages sitemap](https://managed-data-platform.com/sitemap-pages.xml): Core pages and blog posts
- [Data sources sitemap](https://managed-data-platform.com/sitemap-data-sources.xml): Connector landing pages
- [Robots](https://managed-data-platform.com/robots.txt): Crawler directives for search and AI bots
- [AI index](https://managed-data-platform.com/ai.txt): Short pointer file for bots and agents
- [LLMs.txt](https://managed-data-platform.com/llms.txt): Curated guide for AI systems
- [LLMs.txt (well-known)](https://managed-data-platform.com/.well-known/llms.txt): Same content via /.well-known/
- [LLMs-full.txt](https://managed-data-platform.com/llms-full.txt): This file