Conversational analysis
Ask business questions through a read-only analytical assistant, follow the evidence and inspect supporting results within the configured access scope.
Find the value hiding in your data.
From understanding what happened to exploring why, anticipating change and identifying the next opportunity.
Customer 360 & cohorts
Explore customer trends, product groups, purchase rhythm, collection history, retention cohorts and reactivation opportunities from one analytical perspective.
Basket patterns & cross-selling
Inspect product associations, support, confidence and lift. Find groups purchased by similar customers and missing from a target account.
Seasonality & early signals
Review monthly, weekly and daily demand patterns, recent declines and sales portfolios. Compare like periods before interpreting a change.
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 behavioural signals and inspect unusual records or discounts. Use the result to prioritise investigation, not to assume causation.
Saved analyses & change tracking
Rerun saved analyses and review recorded changes. Notifications, email delivery and business write actions require separately scoped integrations.
Workforce capacity & skills
Explore team workload, working-time patterns, skills coverage and development needs by connecting people and project data in a scoped analytical solution.
Project progress & delivery risk
Compare planned and actual effort, budget use, milestones and handovers. Investigate recurring delays and shared resource constraints across projects.
Sales performance & growth drivers
Compare customer groups, products, channels and periods to understand where growth comes from and which changes need a closer investigation.
Product demand & availability
Explore slow-moving stock, demand variability, missed availability and replenishment patterns alongside sales and customer context.
Financial performance & cost patterns
Investigate revenue quality, cost concentration, margin mix and cash patterns with clear metric definitions and the records behind each result.
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.
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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.
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