DATA / ANALYTICS / AI

Understand the work behind the results.

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

A practical scenario · Actual application interface, presented with synthetic demonstration data. English presentation where available.
Overview

People analytics can connect working time, project allocation, attendance and skills records. Explore aggregate workload, overtime patterns, absence trends and the balance between demand and available capacity. Combine training history with future project needs to identify development opportunities. Team-level retention analysis can reveal patterns that deserve a conversation. The aim is better planning and support, with context and human review, rather than judging an employee from an isolated number.

Capabilities

Find the value hiding in your data.

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 /

Connected sources & data quality

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

04 /

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

Where is workload uneven across teams and periods?

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02

Which skills will our planned projects require?

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03

Do overtime and capacity patterns point to a planning problem?

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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 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.