ANALYTICS IN YOUR INDUSTRY

Energy & utility operations

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

A practical scenario

Explore asset history, material consumption, maintenance activity and project costs through connected data. Compare recurring work and resource patterns across sites. Additional operational feeds can support new use cases once their coverage, quality and relationship to the business question are established.

01

Connect the data

Assets, maintenance records, spare parts, purchase orders and integrated operational feeds.

02

Discover the signal

Review recurring material demand, supplier concentration and maintenance resource patterns.

03

Improve the decision

Prioritize a maintenance, resource or purchasing investigation using the recurring pattern.

✳
Questions worth asking

Which maintenance activities repeatedly consume the same scarce materials?

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

Find the value hiding in your data.

01 /

Project progress & delivery risk

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

02 /

Product demand & availability

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

03 /

Financial performance & cost patterns

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

04 /

Segmentation & anomalies

Group customers by behavioral signals and inspect unusual records or discounts. Use the result to prioritize investigation, not to assume causation.

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 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.