Data Analytics & Business Intelligence for Non-Profit & Social Impact
Specialised Analytics & BI solutions for charities, NGOs, and social enterprises. Solving challenges in donor management, impact measurement, volunteer coordination, and fundraising platforms.
Non-Profit & Social Impact
We work with charities, NGOs, and social enterprises, tackling challenges in donor management, impact measurement, volunteer coordination, and fundraising platforms.
The essentials for Non-Profit & Social Impact
Data Warehousing
Centralised data storage with Snowflake, BigQuery, or Redshift
ETL Pipelines
Automated data extraction, transformation, and loading
Custom Dashboards
Interactive dashboards tailored to your KPIs and workflows
Self-Service Analytics
Empower teams to explore data without SQL knowledge
Embedded Analytics
Integrate analytics directly into your product or portal
Data Governance
Quality monitoring, lineage tracking, and access controls
Key Takeaway
- Make data-driven decisions with real-time dashboards and alerts
- Unify data from dozens of sources into a single source of truth
- Reduce reporting time from days to minutes with automated pipelines
Why choose us
Make data-driven decisions with real-time dashboards and alerts
Unify data from dozens of sources into a single source of truth
Reduce reporting time from days to minutes with automated pipelines
Discover hidden trends and opportunities in your data
Empower non-technical teams with self-service analytics
Ensure data quality with validation, monitoring, and governance
Our workflow for Non-Profit & Social Impact
Data Audit
Map your data sources, quality, and current analytics gaps
Architecture Design
Design your data warehouse, pipelines, and analytics stack
Pipeline Development
Build reliable ETL/ELT pipelines with monitoring
Dashboard Creation
Design and build dashboards for each stakeholder group
Training & Adoption
Train teams and drive adoption of data-driven culture
Frequently asked questions
We build with Metabase, Looker, Tableau, Power BI, and custom solutions. Tool choice depends on your team, budget, and requirements.
We implement validation at every stage — source checks, transformation tests, anomaly detection, and reconciliation processes.
Yes — we build pipelines that extract from databases, APIs, spreadsheets, and third-party tools into a unified data warehouse.
A foundational data warehouse and dashboards take 6-12 weeks. Ongoing development adds new data sources and dashboards iteratively.
We implement role-based access, data masking, encryption, and audit logging to protect sensitive business data.