Beneath AnalyticsIndustry
Health Care
Hospitals, clinics and care providers hold the answers to their own capacity and staffing questions, but the data sits in separate systems. We bring it together in a GDPR-native warehouse and build reports for the people who decide, so next week's demand is visible while there is still time to act, and personal data is handled the way regulators expect.
Where this sector loses ground.
For providers who need operational reporting they can trust. We connect clinical, scheduling and finance data, keep a clear record of where personal data flows, and build dashboards that managers actually open.
Data spread across disconnected systems
Clinical, scheduling, billing and supplier data live in separate systems, so every operational question starts with manual assembly.
Reports that arrive after the week they describe
By the time demand and staffing reports are compiled, the week is over and it is too late to act on them.
Nobody knows where patient data has gone
Without a clear record of where a patient's data has flowed, GDPR requests are slow and stressful.
Dashboards nobody asked for
Tools were set up by vendors, not by the people who use them, so adoption is low and the money is wasted.
How we work in this sector.
Sequence matters: govern the data first, make every reported number traceable, then build the models and automation that act on it.
Map the sources, flows and gaps first, so effort goes to what actually blocks decisions.
Build a warehouse with EU data residency, access controls and a documented trail for every dataset.
Track demand and capacity, and design dashboards around the decisions clinical and finance leads make each week.
Automate the recurring reports, so staff stop compiling and start deciding.
Where this usually starts.
The solutions we most often deploy in this sector. Each page sets out the capabilities, platforms, and outcomes you can expect.
- AI Consulting & Development
AI-Ready Data Platforms
AI-ready data platforms means Beneath Analytics builds the warehouses, pipelines, and governance that AI and analytics depend on: BigQuery and Snowflake warehouses with dbt transformation, data quality checks, and documented lineage you can defend. Pipelines scale with your data volume, so models and dashboards run on data your team trusts.
View solution - Tracking & Analytics
Analytics & Business Intelligence
Analytics and business intelligence means Beneath Analytics turns your tracked data into decisions: attribution modelling, predictive models, and dashboards built around the questions your team actually asks and adopted by the people who use them.
View solution
Common questions.
GDPR-native is the baseline: EU data residency, minimal collection, access controls and documented processing. Where possible, personal data is removed or aggregated before it reaches reporting tools.
No. Most of the work connects what you already have. Replacing core clinical systems is rarely necessary and never our first recommendation.
The people making the decisions: operations, finance and clinical leadership. We prototype with them and include training, because a dashboard nobody opens is wasted money.
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