AI & BI use case · Data platform

Digital lab notebook

Capture and evaluate lab results centrally.

What it's about

The digital lab notebook replaces paper and Excel with a central, end-to-end database, linking lab values directly to process and quality data.

  • Less manual work
  • More transparency
  • Easier compliance
Business case & ROI
−50 %

documentation effort

−30 %

search time

6 Mon.

payback

100 %

data availability

Calculated from saved lab personnel effort and faster release processes.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Digital lab notebook.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Digital lab notebook model on historical data.

  4. 04

    Pilot

    Pilot Digital lab notebook in one area and collect feedback.

  5. 05

    Rollout

    Scale the solution and integrate it into operational processes.

5

Steps

6

Data sources

4

Stakeholders

From first data access to production – every step delivers a tangible interim result.

Data typically needed

Lab data

Analyses, measured values and test protocols.

ERP data

Master and transaction data from ERP.

Quality data

Inspection results, lab values and complaints.

Batch data

Batch numbers, protocols and releases.

Documents

Specifications, quotes, contracts and reports.

Recipe data

Ingredients, quantities, allergens and work instructions.

Stakeholders
  • Quality management

    Secures compliance with standards and regulations.

  • Production manager

    Uses insights directly in daily operations.

  • IT

    Builds on a scalable and secure data infrastructure.

  • R&D

    Uses data for product and process improvements.

Typical business value
01

Less manual work

02

More transparency

03

Easier compliance

04

Faster processes

05

Higher quality

The data platform advantage

With a solid data foundation this use case gets faster, cheaper and far more stable.

Central data platform

Real-time data integration

Scalable analytics pipelines

Reusable data products

Build a data platform
Synergies & positive side effects

Compliance reporting

Audit-ready data supports evidence.

Predictive quality

Same data reveals quality deviations.

GenAI assistance

Language models unlock documents and knowledge.