Connect the data
Synthetic patient records, encounters, conditions and observations.
ANALYTICS IN YOUR INDUSTRY
Healthcare & research data
Make complex cohorts and timelines easier to investigate without losing the source context.
Explore synthetic healthcare records by cohort, time period and observation. Differences between groups can reflect missing data or different population composition. Combine trend views with record-level inspection so that an analytical signal starts a careful investigation rather than becoming an unsupported clinical conclusion.
Discover the signal
Compare cohorts, timelines and unusual or incomplete records.
Improve the decision
Prepare a data-quality or research review with the source and limitations attached.
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Questions worth asking
Does this apparent trend remain after reviewing the cohort and missing observations?
Capabilities
Find the value hiding in your data.
Conversational analysis
Ask business questions through a read-only analytical assistant, follow the evidence and inspect supporting results within the configured access scope.
Connected sources & data quality
Bring spreadsheets, databases and business applications into a defined analytical model. Review completeness, freshness and consistency before drawing conclusions.
Context, access & trusted indicators
Define who can explore each source, how indicators are calculated and which evidence supports a result. Keep review and responsibility visible.
Continue exploring
Every part of your business has a story to tell.
Explore health data with context intact.
Complex records need a clear analytical path. Bring cohorts, encounters, observations and data quality into a view that supports careful investigation.
Explore in detail →Ask why. Explore what comes next.
Move beyond a static answer. Follow the evidence from a business question to a segment, a trend, a model and a better next question.
Explore in detail →NEOBIQ / NEXT
What is your data trying to tell you?
A hidden opportunity. A recurring cost. A change in customer behaviour. Invest in your data and turn the question that matters into an investigation you can act on.
Discuss your project ↗Email opens in your mail application. No message is sent automatically.NEOBIQ
Before we begin
How do we turn data into business value?+
Start with a decision you want to improve. We map the relevant data, define a measurable indicator, establish a baseline and test an initial analysis. The first useful insight becomes the foundation for the next step.
Can we explore data we do not analyse today?+
Yes. People, project, customer and product data can become new analytical use cases through the appropriate integrations and models. We agree the scope and validate the results with the people who understand the business.