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Data & AnalyticsOperational data you can trust — and act on.

We bring data from your tools, databases and ERP into one reliable place, build dashboards people actually use, and set up alerts and automations that act when numbers move.

Discuss your dataHow it works

Operational data turned into dashboards, insights and triggers.

What you get

  • Data pipelines
  • Modelling and definitions
  • Dashboards
  • Alerts and triggers

01The problem

The data exists. It's just scattered, stale and hard to trust.

Every system has its own reports and none agree. Someone exports CSVs every Monday, stitches them together and circulates a spreadsheet that's out of date by Wednesday.

  • Numbers that differ between systems and teams
  • Manual weekly or monthly report building
  • Dashboards that nobody opens
  • Problems noticed days after they start

02The solution

A clean data foundation, focused on decisions.

We start from the decisions you need to make, then build the pipelines, models and views that support them — with definitions agreed once and reused everywhere.

  • 01

    Data pipelines

    Automated extraction and loading from apps, databases, spreadsheets and ERPs.

  • 02

    Modelling and definitions

    Consistent metrics so 'revenue' or 'active customer' means one thing.

  • 03

    Dashboards

    Focused views for leadership, operations and teams — not everything on one screen.

  • 04

    Alerts and triggers

    Notifications and automated actions when thresholds are crossed.

03How it works

From request to result, step by step.

  1. 1

    Collect

    Pipelines pull data from each source on a schedule or in real time.

  2. 2

    Clean and model

    Data is validated, joined and shaped into consistent metrics.

  3. 3

    Present

    Dashboards and reports show what matters to each audience.

  4. 4

    Act

    Alerts, summaries and automations respond to changes in the data.

04Typical use cases

Where it fits.

  • Management dashboards

    Sales, operations and finance in one consistent view.

  • Operational monitoring

    Queues, SLAs, inventory and exceptions tracked live.

  • Automated reporting

    Scheduled reports and AI-written summaries delivered by email or chat.

  • Data for AI

    Clean, well-structured data that AI agents and assistants can use safely.

Technology

  • Data Pipelines
  • PostgreSQL
  • Python
  • SQL
  • BI Tools
  • Cloud Data Warehouses
  • LLMs
  • APIs

Chosen per project for fit, maintainability and cost. No vendor partnership or certification implied.

05Process

How we deliver data projects.

  1. 01

    Understand

    Decisions, audiences, current reports and data sources.

  2. 02

    Architect

    Data model, pipeline design, metric definitions and access control.

  3. 03

    Build

    Pipelines, models and dashboards validated against known figures.

  4. 04

    Integrate

    Alerts, scheduled reports and hand-offs to other workflows.

  5. 05

    Optimise

    Usage review, new questions and refinement of definitions.

06FAQ

Common questions.

Do we need a data warehouse?

Not always. For many businesses a well-designed reporting database is enough. We recommend a warehouse when data volume, source count or analysis needs justify it.

Can you work with data from spreadsheets?

Yes. We can ingest spreadsheets as a source and, where it helps, move that data into structured systems over time.

Which BI tools do you use?

We work with common BI tools or build custom dashboards into your applications, depending on your team and budget.

Related services, solutions & reading

Data & Analytics

Spending too long building reports?

Tell us which numbers matter and where they live. We'll outline a reliable reporting setup.

Discuss your data
Talk to Sutra