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Managed Data & Cloud Services

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Overview

Our Capabilities

Our Engagement

Approach

Why Amtex

Overview

Managed data and analytics services team

Managed data and analytics services provide SLA-backed operation of your data pipelines, BI platforms, and cloud data estate, run by senior experts rather than a helpdesk, so your data foundation stays reliable, current, and continuously improving.

Modern data estates don’t stand still. Pipelines break, platforms evolve, new sources arrive, and yesterday’s dashboards face tomorrow’s questions. Hiring for this takes 6-9 months of sourcing, interviews, and ramp-up; a project vendor leaves and takes the knowledge with them.

Amtex offers a third path: dedicated senior teams who run, optimize, and expand your data environment, flexing up or down as your needs change, shipping value in 30-60 days.

Where our Cloud Services practice designs and migrates (the build), this practice operates what’s built (the run). Whether Amtex built your platform or another vendor did, we baseline it, stabilize it, and keep it improving month over month.

SLA-backed reliability for pipelines, BI, and cloud

Senior data experts, not helpdesk tickets

Value in 30-60 days, not 6-9 months of hiring

Flex capacity up or down with zero payroll risk

Continuous optimization as platforms evolve

Knowledge that stays with your account, not a project

Our Capabilities

Managed Analytics Services

SLA-backed run and operate for data pipelines, BI, and cloud, with tiers that match your scale and criticality.

• Pipeline monitoring and operation

• BI platform administration

• Incident response with SLAs

• Tiered service levels

Fractional Data Team

A dedicated pod of team lead, data engineer, and data analyst as your on-demand data team.

• Dedicated named pod

• 30-day backlog burn-down starter

• Flex up or down on demand

• No hiring or payroll risk

Cloud Estate Management

Continuous Azure management, optimization, and enhancement. As the platform evolves, so does your solution.

• Azure administration and optimization

• Cost monitoring and right-sizing

• Platform feature adoption

• Security and compliance upkeep

Continuous Enhancement

Managed doesn’t mean frozen. New sources, new reports, new use cases, delivered inside the engagement.

• New pipeline and report delivery

• Semantic model evolution

• Self-service enablement

• AI and Copilot feature rollout

Data Quality Operations

Quality rules, monitoring, and remediation run continuously, so trust in the data never degrades between projects.

• Quality rule operation

• Freshness and anomaly alerts

• Issue triage and remediation

• Governance upkeep

Knowledge Continuity

When we build your platform, we operate it too, the knowledge doesn’t leave with a project team.

• Build-to-run continuity

• Living documentation

• Named senior contacts

• Quarterly roadmap reviews

Our Engagement Approach

01 Baseline

We document your current estate, pipelines, platforms, reports, and pain points, and agree on SLAs that match business criticality.

02 Stabilize

Reliability first: monitoring in place, incidents handled, backlogs burned down. Most clients see the difference inside the first 30-60 days.

03 Optimize

Costs right-sized, performance tuned, quality operations running, the estate gets healthier every month, not just maintained.

04 Expand

As confidence grows, scope grows: new sources, new analytics, AI capabilities, delivered by the team that already knows your environment.

Our Engagement Practices

Senior Experts, Not Helpdesk

Every engagement is staffed with experienced data engineers and analysts who solve problems, not route tickets.

Predictable by Design

Clear monthly scope, defined SLAs, and no surprise invoices, data operations your CFO can plan around.

Built to Grow With You

Engagements are designed to expand as your data estate and ambitions do, from run-and-operate to AI enablement.

Why Amtex?

Your data platform is never finished, so your data team shouldn’t disappear when a project ends. Our managed services are targeted towards:

Keeping business-critical pipelines and reports reliably running

Replacing hiring risk with senior capacity on demand

Continuously optimizing cost, performance, and quality

Growing your data and AI capability without growing headcount

Frequently Asked Questions

What are managed data and analytics services?

SLA-backed operation of data pipelines, BI platforms, and cloud data estates by a dedicated senior team, covering monitoring, incident response, optimization, and continuous enhancement under a predictable monthly engagement.

What is a fractional data team?

A dedicated pod, typically a team lead, data engineer, and data analyst, that works as your on-demand data team. It ships value in 30-60 days versus the 6-9 months of hiring, and flexes up or down without payroll risk.

How is this different from staff augmentation?

Staff augmentation rents individuals; a managed engagement delivers outcomes, SLAs, a named team, continuous optimization, and knowledge that stays with your account rather than leaving with each contractor.

Can Amtex manage a platform another vendor built?

Yes. We baseline and document the existing estate first. And when Amtex builds your platform, operating it is seamless, the build knowledge carries straight into the run team.

Talk to Our Experts

We’d love to hear what you are working on.

Explore Related Amtex Services

Need to build or migrate first? That’s our Cloud Services and Enterprise Data Modernization practices, we operate what they deliver. Modernizing reporting? See BI & Analytics Modernization. Adding AI? Start with Enterprise AI Readiness.