Conversational analysis
Ask business questions through a read-only analytical assistant, follow the evidence and inspect supporting results within the configured access scope.
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.
The health analytics module works with synthetic Synthea examples to demonstrate cohort exploration, record timelines, trends and unusual entries. Analysts can compare groups, inspect source records and investigate missing or inconsistent values. These demonstrations are research and data-exploration workflows. They are not diagnostic tools, clinical recommendations or evidence of clinical validation.
Capabilities
Find the value hiding in your data.
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.
Connected sources & data quality
Bring spreadsheets, databases and business applications into a defined analytical model. Review completeness, freshness and consistency before drawing conclusions.
Questions worth asking
01
How does the composition of this cohort change over time?
↗02
Which unusual observations need a data-quality review?
↗03
Are differences driven by missing records or different populations?
↗Continue exploring
Every part of your business has a story to tell.
Turn your data into business knowledge.
Your business already holds valuable answers. Bring its data together and discover what you could measure, understand and improve.
Explore in detail →Understand the work behind the results.
Discover how your teams work, where capacity is stretched and which skills your next projects will need.
Explore in detail →See project risk before it becomes a surprise.
Connect time, cost, delivery and customer context to understand what is really moving a project forward.
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.