DATA ANALYTICS × ARTIFICIAL INTELLIGENCE

Your data is the new gold.

Invest in the knowledge already inside your business. Turn scattered data into measurable insights, uncover connections you never imagined and make your next decision with evidence.

14Capabilities
12Industries
DATA + AI + BINEOBIQ
Actual application interface, presented with synthetic demonstration data. English presentation where available.
✳ NEOBIQ AI

Why is revenue increasing while the product mix changes?

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DATA ANALYTICS×BUSINESS INTELLIGENCE×AI ANALYTICS×eCOMMERCE×eHEALTH
Analytics solutions

Every part of your business has a story to tell.

Connect information across teams, projects and customer touchpoints. Explore where analytical questions can lead, then build the right data connections and models for your business.

01 / DATA ANALYTICS ↗

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.

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02 / PEOPLE ANALYTICS ↗

Understand the work behind the results.

Discover how your teams work, where capacity is stretched and which skills your next projects will need.

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03 / PROJECT ANALYTICS ↗

See project risk before it becomes a surprise.

Connect time, cost, delivery and customer context to understand what is really moving a project forward.

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04 / CUSTOMER ANALYTICS ↗

Understand the customer beyond the last order.

Discover who returns, what changes in their behavior and where a stronger relationship could begin.

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05 / PRODUCT ANALYTICS ↗

Discover what really drives product performance.

Go beyond the bestseller list. Understand demand, product relationships and the commercial context behind each result.

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06 / eCOMMERCE ↗

Connect the storefront to the business behind it.

Discover what brings customers to you, what helps them buy and what makes them return.

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07 / AI ANALYTICS ↗

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.

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08 / BUSINESS INTELLIGENCE ↗

Every number has a story. Follow it.

Start with the overview. Move into a customer, product group or time period. Keep the definition and source behind the metric within reach.

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09 / eHEALTH ↗

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.

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10 / AI AGENTS ↗

Give every signal a next step.

A useful insight should not disappear in a dashboard. Define what to watch, what changed, who should review it and what happens after approval.

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Inside the application

See the evidence. Continue the conversation.

Explore analytical interfaces, business dashboards and AI conversations. The application captures use synthetic demonstration data.

01 / AI ANALYST

Ask why. Explore what comes next.

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.

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Actual application interface, presented with synthetic demonstration data. English presentation where available.
02 / MARKET INTELLIGENCE

Connect the storefront to the business behind it.

Connect catalog, orders, product availability and customer history to understand online demand. Where tracking and source coverage permit, extend the investigation to conversion steps, abandoned baskets, acquisition channels and campaign contribution. Explore complementary purchases, repeat-order timing and price position. Review attribution limits and data freshness before treating an apparent opportunity as a proven result.

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Actual application interface, presented with synthetic demonstration data. English presentation where available.
Industries

Your industry. New questions. New possibilities.

Twelve industry perspectives on the value of connected data. Explore the signals, relationships and opportunities worth investigating.

▦01 / 12

Retail & multi-location sales

Understand what sells, where it sells and which stock is tying up working capital.

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⇄02 / 12

Wholesale & distribution

Connect the customer's next order with availability, account history and collection priorities.

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⚙03 / 12

Manufacturing & production

Connect the promise to the customer with materials, operations and the work in progress.

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◇04 / 12

Stone processing & made-to-order production

Follow a block, slab or custom product through dimensions, consumption and production.

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+05 / 12

Healthcare & research data

Make complex cohorts and timelines easier to investigate without losing the source context.

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↗06 / 12

Finance & accounting

Connect the ledger, open invoices and commercial activity to understand the cash picture.

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▱07 / 12

Logistics & warehouse operations

See where stock is, how it moved and what is preventing the next delivery.

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◎08 / 12

Professional services & project teams

Connect customers, work, people and invoices across the full engagement.

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ϟ09 / 12

Energy & utility operations

Bring operational records, maintenance resources and purchasing into a connected review.

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▥10 / 12

Public sector & institutions

Connect procurement, resources and reporting with a clear documentary trail.

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◉11 / 12

Hospitality & food operations

Connect purchasing, stock and seasonal demand across locations.

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⌘12 / 12

Digital commerce & omnichannel brands

Connect online demand, product availability and market context to understand the full commercial picture.

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Capabilities

Find the value hiding in your data.

From understanding what happened to exploring why, anticipating change and identifying the next opportunity.

01 /

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.

02 /

Project progress & delivery risk

Compare planned and actual effort, budget use, milestones and handovers. Investigate recurring delays and shared resource constraints across projects.

03 /

Customer 360 & cohorts

Explore customer trends, product groups, purchase rhythm, collection history, retention cohorts and reactivation opportunities from one analytical perspective.

04 /

Basket patterns & cross-selling

Inspect product associations, support, confidence and lift. Find groups purchased by similar customers and missing from a target account.

05 /

Forecasting & model review

Explore demand, collection, churn and customer-value models with model context. Compare forecasts with simple baselines and treat predictions as estimates.

06 /

Conversational analysis

Ask business questions through a read-only analytical assistant, follow the evidence and inspect supporting results within the configured access scope.

What you can discover / 14 ↗
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.

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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.

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Inside the application

Actual application interface, presented with synthetic demonstration data. English presentation where available.