Conversational analysis
Ask business questions through a read-only analytical assistant, follow the evidence and inspect supporting results within the configured access scope.
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.
The conversational analyst works with permitted data and read-only analytical tools. The model catalog includes demand forecasting, payment and cash-flow signals, customer churn and value, segmentation, recommendations, anomalies and basket associations. Model output is identified as an estimate and includes context for review. Saved analyses can be rerun to track changes; messages and write actions require separately configured integrations.
Capabilities
Find the value hiding in your data.
Forecasting & model review
Explore demand, collection, churn and customer-value models with model context. Compare forecasts with simple baselines and treat predictions as estimates.
Segmentation & anomalies
Group customers by behavioral signals and inspect unusual records or discounts. Use the result to prioritize investigation, not to assume causation.
Basket patterns & cross-selling
Inspect product associations, support, confidence and lift. Find groups purchased by similar customers and missing from a target account.
Customer 360 & cohorts
Explore customer trends, product groups, purchase rhythm, collection history, retention cohorts and reactivation opportunities from one analytical perspective.
Seasonality & early signals
Review monthly, weekly and daily demand patterns, recent declines and sales portfolios. Compare like periods before interpreting a change.
Saved analyses & change tracking
Rerun saved analyses and review recorded changes. Notifications, email delivery and business write actions require separately scoped integrations.
Questions worth asking
01
Why is revenue increasing while the product mix changes?
↗02
Which customers have missed their normal reorder cycle?
↗03
Is this forecast more useful than a simple baseline?
↗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 behavior. 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.