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Data Warehousing & Analytics

Create a trusted foundation for reporting, analysis and better decisions

Most business systems provide operational reports, but these are often limited to the data held within that system. As organisations grow, teams need a broader view across finance, CRM, operations, third-party platforms and historical data.


Data Warehousing & Analytics helps organisations bring information together, simplify complex datasets and create a trusted foundation for reporting and insight. By structuring data around agreed definitions, business rules and reporting needs, teams can work from a more consistent view of performance.


This gives organisations the confidence to move beyond manual reporting and build towards deeper analytics, forecasting and AI.

 

 

 

 

 

Data Warehousing Analytics Visualization-1

Why Data Warehousing & Analytics?

As organisations grow, reporting requirements become more complex. Teams need to understand performance across customers, supporters, finance, operations, campaigns, projects and services, often using data from multiple systems. Common challenges include:




Data Warehousing & Analytics helps solve these challenges by creating a structured reporting layer that brings information together in a more consistent, governed and usable way.

  • Operational reports that do not provide the strategic view teams need
  • Data spread across CRM, finance, operational and third-party systems
  • Heavy reliance on spreadsheets and manual calculations
  • Complex source data that is difficult for business users to interpret
  • Conflicting reports created by different teams
  • Limited ability to analyse trends over time
  • Difficulty linking activity, income, engagement and outcomes
  • Lack of a trusted foundation for analytics, forecasting and AI

Key capabilities

Trusted reporting foundations

Create a single source of trusted reporting data that brings together information from multiple systems and makes it easier for teams to work from consistent figures.

Data modelling and business definitions

Structure data around agreed business definitions, dimensions and measures so reporting is easier to understand, compare and maintain.

Data simplification

Make complex source data easier to understand and use by applying clearer structures, meaningful field names and reporting-friendly models. This helps business users analyse information without needing detailed knowledge of every source system.

Data enrichment

Enhance reporting by adding calculated values, classifications and relevant external data sources. This could include measures such as lifetime value, supporter segments, customer categories, regional indicators or performance classifications.

Third-party data sources

Bring in useful external data, such as website analytics, demographic information, fundraising platforms, payment systems or other specialist sources, to create a richer view of performance and opportunity.

Historical analysis

Preserve and organise historical data so teams can analyse trends, track changes over time and understand long-term performance.

Performance and KPI reporting

Create the foundations for consistent KPI reporting across departments, campaigns, projects, services, audiences or business units.

Analytics-ready data

Prepare data for deeper analysis, segmentation, forecasting and advanced reporting by organising it into a format that is easier to query and use.

Power BI and dashboard enablement

Provide clean, structured data that supports more effective Power BI dashboards, management reports and self-service analytics.

AI-ready foundations

Support future Copilot and AI initiatives by improving the quality, consistency and structure of organisational data.

Typical use cases

Bring together fundraising, finance, supporter, service and campaign data to improve reporting, demonstrate impact and support better decisions.

 

Common scenarios include:

 

  • Fundraising performance reporting
  • Supporter lifetime value analysis
  • Campaign and appeal reporting
  • Impact and service performance analysis
  • Trustee and board reporting
  • Finance and fundraising reconciliation
  • Historical trend analysis
  • External data enrichment for segmentation and planning

 

Where this fits

Together, these capabilities help organisations move from operational reporting and manual spreadsheets to a clearer, more strategic view of performance.

Ready to improve what matters most?

Tell us what you’re looking to achieve, and our team will help you find the right solution for your organisation.