Data Collaborations

Get the big picture of what’s happening in your sector

An innovative new method to securely aggregate data across entire social sectors (from 10-50 organisations), providing timely analysis and insights into trends across the system. Provides ‘data power’ back to the sector and empowers organisations to better use their data for operations, impact and funding.

Data Collaborations by Latitude Network

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Solves the Barriers to Sharing

No new IT investment = low cost, low disruption

Keep your existing CRMs, CMSs, and databases
Export or upload your data securely on an agreed schedule
We clean, transform and aggregate all the data so you don’t have to
Costs shared across multiple organisations

Privacy and Security

No sharing of data with other organisations - only with an independent data custodian who works for you
De-identified data reduces privacy risks, our code cleans out identified data
Secure Microsoft Azure data warehousing in Australian-based fully compliant servers

Power to you and your sector leaders working together

Participating organisations have full autonomy over their data
Responsive and adaptive to needs of your sector
Sectors gain more access to their own data - no need for funders to control the agenda
Peak bodies provide leadership and project direction

Any Kind of Quantitative Data

Your Data Collaboration can encompass whatever datasets exist in your sector, and then build new ones for more insights. These can be funder-mandated data, individual organisation data, survey results and in any database format (excel spreadsheets, CSV, JSON, etc.) either manually uploaded or sourced via API from your system.

Power of Collaborative Data

Spot gaps in service or need

Mapping across a whole sector gives strategic insight on service intensity

Benchmarking vs averages

Use these to spot differences, performance issues, or learn from others

Trends & Forecasting

What is growing, shrinking, are there seasonal variations, and even forecasts

Challenge a policy narrative

Insights into policy or funding discussions to bolster a case

Do ‘big data’ analysis

Insights into what factors drive what outcomes using machine learning

Frequently asked questions

The normal process is to sign up 10 or more organisations in the sector for a first year pilot. We agree what data is included in the project, get initial exports, then build a bespoke data warehouse structure for the project. We then agree what data questions are to be answered and build draft dashboards. This build process usually takes about 6 months given the number or organisations involved. From then, the system is live to the participants.

Once we have samples of the datasets, our data engineer will build a data pipeline on our Microsoft Azure data warehouse, including an ‘ingestion’ process for checking and cleaning data, and a transformation process for coding the (often messy) data structures and formats that we get across different organisations. This then works through to a ‘gold layer’ of data tables that aggregate the data, coded by organisation.

You always own your own data - Latitude Network is contracted with each organisation to do data analysis on your behalf. We have an obligation to completely delete your data from our systems if you should ever leave the project. We cannot use the data for any purpose other than agreed with you and we take very seriously our obligation to keep that data secure. We cannot provide data or reports to any third party.

Learn more about how these data collaborations can solve problems for your sector.

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