Gencovery

How we work with you

01 — Diagnostic Maturity audit, arbitration and roadmap. 02 — Digitalisation Implementation, tool and process integration. 03 — Data analysis Value creation, applied AI, digital twins. 04 — Training Change management, practices and tools.

Where to start

Overview The four strands and how they follow on Our method How our engagements run, end to end Our engagements What we did with Institut Imagine, Conidia-Coniphy and Greencell Discuss an engagement Describe your situation, we reply within two working days

Platform

Platform architecture A decentralised architecture to connect data end-to-end End-to-end lab automation From raw data to clinical value, uninterrupted Constellab vs competitors The only platform that digitises life sciences with full data sovereignty

Features & benefits

Features Collaborative space, analytics, visualisation and AI Benefits Why choose Constellab — traceability, sovereignty, compliance ROI & Savings Calculate your savings by consolidating your tools Integrations Supported tools, protocols and connectors

Use cases

Patient data management Centralise and leverage medical data with AI R&D acceleration Cut your research cycles with AI Bioprocess optimisation Monitor your fermentation processes in real time Agronomy optimisation Antifungal resistance: data and AI united All use cases Browse our full solutions catalogue

Constellab Applications

Constellab Care AI-powered medical and patient data management Constellab Suite Scientific productivity: Project, Analytics, Search Constellab Digital Twin Digital twins to optimise your bioprocesses See all applications Explore the Constellab™ application ecosystem

Documentation

DLM White paper Our Digital Leadership Mastery method for data-driven strategy Regulatory compliance GxP, GDPR, HDS and quality framework navigator Interoperability standards FHIR, CDISC, DICOM, HL7, OMOP CDM and reference terminologies

Community & Events

Constellab Community The open-source Constellab user community Blog Articles, awards, events and publications
Our history and mission Why Gencovery exists and what drives us The team The people behind the project
Engagement pricing Consulting and support — on quotation Platform pricing Constellab™ subscription: plans and data labs
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Service

How we work with you

  • 01 — Diagnostic
  • 02 — Digitalisation
  • 03 — Data analysis
  • 04 — Training

Where to start

  • Overview
  • Our method
  • Our engagements
  • Discuss an engagement
Product

Platform

  • Platform architecture
  • End-to-end lab automation
  • Constellab vs competitors

Features & benefits

  • Features
  • Benefits
  • ROI & Savings
  • Integrations
Solutions

Use cases

  • Patient data management
  • R&D acceleration
  • Bioprocess optimisation
  • Agronomy optimisation
  • All use cases

Constellab Applications

  • Constellab Care
  • Constellab Suite
  • Constellab Digital Twin
  • See all applications
Resources

Documentation

  • DLM White paper
  • Regulatory compliance
  • Interoperability standards

Community & Events

  • Constellab Community
  • Blog
About
  • Our history and mission
  • The team
Pricing
  • Engagement pricing
  • Platform pricing
Blog
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  1. Services
  2. ›
  3. Diagnostic
Strand 01

Diagnostic

Maturity audit, arbitration and roadmap

Discuss an engagement

The problem

Most organisations know their data is underused. Few know where to start.

Tools have piled up project after project. Practices differ from one team to the next. What is documented no longer matches what is done. Nobody holds the full picture, and every new initiative starts from a blank page. And findings without arbitration change nothing: with no explicit decision, transformation dissolves into parallel projects competing for the same teams and the same budget.

How it runs

Typical duration:five days

  1. 1

    Framing

    Interviews with leadership and the business teams. What you are trying to achieve, and why now.

  2. 2

    Survey

    An inventory of tools, flows and actual practices — the documented ones and the undocumented ones alike.

  3. 3

    Assessment

    Digital and data maturity measured against a reference framework, domain by domain.

  4. 4

    Scenarios

    Two or three possible paths, costed, with their dependencies and what each costs in team time — not only in budget.

  5. 5

    Arbitration

    A decision at executive level. What starts, what waits, what is given up — the last point being the one most often skipped.

  6. 6

    Roadmap

    Sequencing, milestones, ownership and success criteria, presented to the executive committee. A document your teams can execute without us.

Deliverables

  • ✓Map of data flows and tools
  • ✓Digital and data maturity grid
  • ✓Costed transformation scenarios
  • ✓Prioritised, sequenced roadmap with milestones
  • ✓Responsibility matrix and success criteria
  • ✓Executive committee readout
« We knew our data was an asset. We did not know which data, or where it was. »
The scientific director of a biomedical research institute
Next strand02 — DigitalisationImplementation, tool and process integration.
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