Data Science & Analytics.
We design and ship analytics platforms, dashboards, and machine learning models that take messy operational data and turn it into the numbers your team actually acts on, clean pipelines, governed warehouses, and reporting your leadership trusts in the Monday meeting.
- Capabilities
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- Stages
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- Outcomes
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Data Science & Analytics
Making it easy for you and your customers, through advancement.
Three moves that anchor every engagement, from the first conversation through steady-state operation.
Data warehousing
Cloud data warehouses with schemas designed for the questions your team actually asks.
Data pipelines
Reliable data pipelines that hold up at month-end close.
Executive dashboards
Dashboards your CFO can read without translation.
What it’s
actually moved.
Pipelines with lineage documented and quality tests in CI, numbers you can trust at close
Warehouses modeled around the questions your team actually asks, not a generic schema
Models versioned and monitored in production, so drift gets caught instead of discovered
What we ship,
in plain language.
Predictive models
Forecasting, churn, propensity, and segmentation models, versioned and monitored in production.
Customer analytics
Funnel and cohort analysis tied to revenue, not vanity metrics.
Data governance
Lineage, quality SLAs, and role-based access, the audit trail your regulators want.
A predictable shape,
every engagement.
- 01
Audit
Map current sources, key reports, and the questions that don't get answered.
- 02
Warehouse
Stand up the data platform and model the core entities, customers, orders, events.
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Pipelines
Build the pipelines, document lineage, and put quality tests in your pipeline.
- 04
Insights
Ship the first set of dashboards and a baseline model with stakeholders.
- 05
Operate
Monitor freshness, drift, and quality, with on-call coverage and SLAs.
FAQ
Questions we hear first.
What is Data Science & Analytics at TintSol?
We design and ship analytics platforms, dashboards, and machine learning models that take messy operational data and turn it into the numbers your team actually acts on, clean pipelines, governed warehouses, and reporting your leadership trusts in the Monday meeting.
What does Data Science & Analytics at TintSol include?
It covers Data warehousing, Data pipelines, Executive dashboards, Predictive models, Customer analytics, and Data governance.
How does an engagement run?
Every engagement follows the same 5 stages, in order: Audit, Warehouse, Pipelines, Insights, and Operate.
How quickly can we get started?
We reply to every enquiry within one business day. Most engagements start within 5–7 business days of the initial brief, once scope and team are agreed.
How much does it cost?
We don't publish a rate card. Every engagement is scoped and quoted after a short brief, either as a fixed-scope project with defined milestones or as an ongoing retainer. Send us a brief and we'll reply within one business day.