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Partner with us

Build an integrated
data system that
grows with you.

We design and build integrated data systems that bring data entry, analysis and insight into one connected experience, shaped around your organisation's workflows.

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our approach

We start by mapping how your data actually moves.

Before designing anything, we trace how information travels through your organisation today: who collects it, where it is stored, how it is cleaned and combined, and where it gets stuck. The result is a clear picture of your current data flows, bottlenecks and risks, so that we know the exact leakages in your system that need to be plugged.

A Goalkeep working session around a table in a partner office
A close view of a team member working on a laptop

Then we design and build one connected, AI-integrated data system.

We design the architecture and data model around your programmes, terminology, and workflows, then build it to make sure data entry, storage, analysis and insight are all in one place. We favour an open-source stack, such as PostgreSQL or Supabase with GitHub and Vercel, but can work with whatever platform your organization is currently supported by.

We stay until your team owns the system.

A system creates value only when people use it. We test it with your users, migrate the historical data you need, train your team across levels, and set up data processes that are easy for you to adopt. We support you through documentation, maintenance support and a structured handover until your team is comfortable using the system.

Partner team members working on laptops around a round table

What you leave with at the end of our engagement.

A diagnostic of your current data flows, tools, bottlenecks and risks

FORMSSHEETSAPPS

A system architecture, data model and implementation roadmap

ENTERMANAGEUNDERSTAND

One integrated system, from data entry to analysis and insight

CLEANTRANSFORMDATABASE

A connected database with ETL processes and automated pipelines

Historical data migrated, with validation, access controls and audits

Training, documentation, maintenance support and a structured handover

indicative duration

Typically 3 to 4 months.

For discovery, design and an initial build, depending on data complexity, migration requirements, integrations and the number of user workflows. An agreed maintenance and adoption period follows, depending on the complexity of the system.

discovery, design and initial build
then maintenance and adoption
mo 1mo 2mo 3mo 4mo 5mo 6

Months

The Apni Shala Foundation team standing together in their office
EducationIdentifying key metrics

Apni Shala Foundation

A handful of hero metrics on the weekly dashboard helped Apni Shala quickly identify student learning gaps that used to surface only at year-end previously.

We end up capturing a lot of data, but it’s the first time we’ve stepped back to think of what are the key findings we really want our data to shed light on as an organisation. We are now at a place to be making less emotional, and more data-driven decisions.”
Sangeeta ZombadeSangeeta Zombade · Apni Shala Foundation

Ready to build a data system around how your organisation actually works?

We work with you to streamline your data system, design a workflow that fits how your organisation operates, and set up data processes that scale along with you.

Explore our other services.

Impact and measurement strategy

Turn your Theory of Change into a measurement framework your organisation can use. We clarify the outcomes that matter, the questions your data needs to answer, and put in place the strategy you need to make that happen.

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Dashboards and reporting

Build dashboards that answer real questions, not simply display available data. We start with what questions you want your data to answer for you, and then build out a system that effectively showcases that.

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Data adoption and capacity-building

Build a data-confident workforce across your organisation. We conduct trainings and capacity building workshops that impart practical, role-specific learning. The primary goal is to get people to integrate data in their everyday work, so that it becomes a habit rather than a one-off event.

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