Support Service

Managed data services, built on your platform

Once your data platform is live, someone still has to keep it running. We monitor pipelines, resolve issues, maintain governance, and help your team get more value from the platform you’ve already invested in. All on your platform, with your tools.

Data platforms need more than a launch day.

Most data platforms are built once and then left to run on their own — until a pipeline breaks, a dashboard goes stale, or nobody can say for certain which number is right. Internal teams are often stretched too thin to own monitoring, governance, and reporting in addition to their day-to-day responsibilities.

Bringing in more help usually means hiring for specialized roles you don’t need year-round, or handing your data over to a vendor who wants you on their platform. Neither gives you what you’re really after: a data platform that stays healthy, delivers answers your team can trust, and remains under your control.

Accelerate

Data Audit

Assess your current state. Define the roadmap. Set the foundation.

Build

Platform modernization

Stand up your modern data platform — Microsoft Fabric, Databricks, Snowflake, or similar.

Data foundation

Master data management, golden records, and governance — the trust layer for everything above.

AI & advanced reporting

Unlock predictive models, intelligent automation, and reporting that drives better decisions.

Support

You are here

Managed Data Services

Provide ongoing support that keeps your data platform reliable, secure, and delivering value.

How we support your data platform.

People

A dedicated data analytics consultant and delivery lead work as an extension of your team, not a rotating help desk. They learn your data, your business, and your goals the same way an internal hire would.

Process

Weekly check-ins keep work visible, while monthly roadmap sessions keep it focused on what’s next. Pipelines, infrastructure, and governance are maintained continuously — not just when something breaks.

Technology

We work inside the platform you’ve already chosen — AWS, Azure, Microsoft Fabric, Databricks, Snowflake, and more — using your licenses and your tools. Nothing requires moving to our stack.

Setup and ongoing support, one team

Managed Data Services works in two phases: a one-time setup that gets your data lake and monitoring in place, and an ongoing service that keeps it running and turns it into monthly insight.

Setup

Connect data sources, consolidate data, establish performance monitoring and governance.

$25K

One-time

Setup includes one data source (ERP, CRM, HRIS, etc.)

Each additional data source is $10K.

Data lake design and implementation:
Architecture of a scalable, secure data lake.

Cloud services configuration:
Setup of cloud services, including storage accounts, compute resources, and networking configurations.

Data integration tools:
Setup of tools for data ingestion, ETL(extract, transform, load), and data integration.

Ongoing support

We act as an extension of your data analytics team for monthly report and dashboard creation.

$10K

Monthly

Monthly cost for up to four data sources.

Each additional data source at $1,000 per month.

Fully hosted and secured in AWS or Azure

Up to 30 hours of dedicated time with a Data Analytics Consultant and Delivery Lead 

Weekly progress review meetings 

Monthly strategic roadmap session 

Ongoing infrastructure optimization and data pipeline maintenance 

Frequently asked questions

Are software or licenses included in this service?

No. This service doesn’t include licensing for cloud providers, data engineering platforms, or business intelligence tools. That’s by design: we don’t require clients to use our platform or a limited set of tools, so if you ever move on from the service, the tools and licenses are yours — you’re not locked in with us. We’re glad to advise on platform choices and have partnerships across the space.

What technology platforms do you support?

We’ve built close partnerships with the leading cloud providers, data engineering platforms, and BI tools, and our team has hands-on experience across most of the field. Commonly supported platforms include:

  • Cloud platforms: AWS, Azure
  • Data lakes / warehouses: Microsoft OneLake (Fabric), Microsoft SQL Server, Azure Data Lake, Snowflake, Databricks
  • ETL: Alteryx, Azure Data Factory, SQL Server Integration Services, Microsoft Fabric, Spark, Java, C#, Python
  • BI and visualization: Tableau, Qlik, Microsoft Power BI, Looker, Alteryx, SSRS/paginated reporting

Don’t see your platform? Let’s talk — chances are we’ve worked in it.

What if we need more hours in a given month?

The standard package includes 30 monthly hours with a data analytics consultant and delivery lead. If that’s not enough for your organization, we’ll put together a package sized to what you actually need.

What makes this different from other managed data providers?

Many providers lock clients in by controlling the tools and technology. We work on your data platform and your licenses, so you keep control and flexibility — and if you’re missing a tool, we’ll help you evaluate options that fit your budget, not just ours. We’d rather keep earning your business through the work than through a contract that makes leaving expensive.

Our team pairs deep technical skill with business judgment, and because we support clients across sizes and industries, we bring in patterns and lessons from businesses like yours — not just your data.

Ready to stop firefighting your data platform and start trusting it?

Let’s talk about what Managed Data Services could look like for your team — no pressure, just a straight answer on fit.