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// DATA SERVICES

Data analytics that drives actual decisions.

From executive dashboards to predictive models, we turn your data into insight your teams will actually use day to day.

Data analytics that drives actual decisions. — TurtlTech service overview illustration
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BI Dashboards & Reporting

Live dashboards built around the metrics that matter to your business.

Predictive Analytics

Forecasting models that help you plan ahead, not just look back.

Analytics Strategy

A clear framework for what to measure and why, before we build anything.

Self-Serve Analytics Tools

Give teams the ability to explore data without waiting on engineering.

// OUR PROCESS

How we deliver

01

Discovery & Scoping

Requirements, constraints and success metrics defined before work starts.

02

Build

Iterative delivery in two-week sprints with a reviewable milestone each time.

03

QA & Review

Testing and stakeholder review before anything reaches production.

04

Launch & Support

Go-live support plus an ongoing maintenance option afterward.

// TECH & TOOLS

Built with the right tools for the job

We pick the stack and tools that fit the problem, not a one-size-fits-all template.

Power BI Looker Python SQL dbt Snowflake Tableau Metabase

15+

BI dashboards delivered

Data Analytics
★★★★★

"We finally have one dashboard everyone trusts, instead of five spreadsheets that never agree."

Head of Growth

B2B SaaS

// FAQ

Common questions

How long does a typical analytics platform project take?

Most analytics platform engagements run 4–10 weeks depending on scope, with a working milestone reviewed every two weeks.

Do you work with our existing team or fully independently?

Both — we integrate with in-house teams as an extension, or run the engagement fully independently, based on what you need.

How is pricing structured?

Fixed scope for well-defined projects, or a sprint-based retainer for ongoing work — whichever fits the engagement better.

Do you provide support after launch?

Yes — monthly retainers cover monitoring, fixes, and incremental improvements after go-live.

Turn your data into a decision-making advantage.

Let's talk about the reports and models that would move the needle for you.