DATA / ANALYTICS / AI

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.

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

Sales, people, projects and customer interactions often tell separate stories. Connected analytics brings them into one investigation. Compare results over time, follow a change back to its source and explore relationships between teams, products and customers. Start with a useful question, establish a reliable baseline and measure whether the resulting decision improves the business. New data sources and specialist models can be added as your analytical ambitions grow.

Capabilities

Find the value hiding in your data.

01 /

Conversational analysis

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

02 /

Customer 360 & cohorts

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

03 /

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.

04 /

Project progress & delivery risk

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

05 /

Sales performance & growth drivers

Compare customer groups, products, channels and periods to understand where growth comes from and which changes need a closer investigation.

06 /

Product demand & availability

Explore slow-moving stock, demand variability, missed availability and replenishment patterns alongside sales and customer context.

07 /

Financial performance & cost patterns

Investigate revenue quality, cost concentration, margin mix and cash patterns with clear metric definitions and the records behind each result.

08 /

Connected sources & data quality

Bring spreadsheets, databases and business applications into a defined analytical model. Review completeness, freshness and consistency before drawing conclusions.

09 /

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.

Questions worth asking

01

Which information do we already have that we are not using?

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02

Where do costs, delays or missed opportunities repeatedly appear?

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03

Which measurable indicators would improve our next decision?

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Continue exploring

Every part of your business has a story to tell.

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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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.