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Why Most Pharma ERP Projects Fail at Validation, Not Technology

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Pharmaceutical manufacturers do not fail ERP projects because they chose the wrong system. They fail because nobody separated what the system needs to do from what the regulator needs to see. Dreher Consulting starts there — before a single vendor is contacted.

Identify Your ERP Success Factors
"In pharma, your ERP system is not just operational infrastructure — it is part of your regulatory submission. Every data flow, every batch record, every audit trail must withstand inspection. We assess that fit before anything else." - Dr. Harald Dreher.
Why Dreher Consulting

Vendor-neutral ERP consulting for pharmaceutical and biotech manufacturers — where regulatory fit comes before functional fit.

Most ERP vendors will tell you their system "supports GxP." Dreher starts from the other direction: we map your regulated processes, your validation obligations and your batch data flows first — then evaluate which system actually fits.

That is what independent means in pharma. Using SCOReX®, our structured assessment methodology, we identify where your current systems create validation risk, where manual workarounds mask compliance gaps, and where the real operational bottlenecks sit — before any vendor conversation begins.

Analyse Your Growth Pain Points

Where Pharma ERP Projects Typically Break — and What Dreher Assesses First

From our work across DACH pharmaceutical and biotech manufacturers, the same failure patterns repeat: serialisation bolted onto systems that were never designed for it, validation documentation created after go-live instead of before, and batch data trapped in silos between ERP, MES and LIMS. These are the areas Dreher assesses before recommending any system.

Key Issues
  • End-to-end batch traceability from API sourcing through finished product distribution

  • EU Falsified Medicines Directive (FMD) serialisation and verification

  • US Drug Supply Chain Security Act (DSCSA) track-and-trace compliance

  • Cold chain management for biologics and temperature-sensitive products

  • CDMO and contract manufacturer integration across multiple sites

Dreher Solutions
Process Mapping ERP Selection & Implementation: Dreher evaluates whether an ERP system can natively handle serialisation data flows (GTIN, batch, expiry, serial number) end-to-end — or whether it requires bolt-on middleware that creates validation and maintenance risk.
ERP Implementation Process Optimisation & Management Before selecting any system, Dreher maps your procurement, manufacturing and distribution workflows to identify where batch release bottlenecks and manual handoffs actually sit — not where the vendor assumes they are.
It Strategy Consulting ERP Project Management Dreher manages the integration between ERP, MES, WMS and serialisation platforms — ensuring a single source of truth for batch and logistics data, with validation documentation maintained throughout, not created retrospectively.
Key Issues
  • 21 CFR Part 11 compliance for electronic records and signatures

  • EU GMP Annex 11 requirements for computerised systems

  • Computer System Validation (CSV) including IQ/OQ/PQ qualification protocols

  • Data integrity across ERP, LIMS, MES and QMS integrations

  • GDPR compliance for patient and supplier data across the manufacturing network

Dreher Solutions
Digital Strategy Consulting Digital Strategy Consulting: Dreher designs digital architectures where data integrity is structural, not aspirational — building ALCOA+ principles into system interfaces and data flows before configuration starts, not as a validation afterthought.
IT Strategy Consulting IT Strategy Consulting: Using SCOReX®, Dreher maps every regulated data flow across ERP, LIMS, MES and QMS — surfacing where validation gaps exist, where manual transcription creates risk, and where system boundaries need tightening.
Process Optimisation & Management Process Optimisation & Management: Refining data handling processes to strengthen audit trails, reduce manual transcription and ensure every critical data point is attributable, legible, contemporaneous, original and accurate.
Key Issues
  • GMP (Good Manufacturing Practice) compliance across all production sites

  • GDP (Good Distribution Practice) for pharmaceutical logistics and cold chain

  • EMA and FDA regulatory submission requirements

  • Qualified Person (QP) obligations for batch release in the EU 

Dreher Solutions
ERP Selection ERP Selection: Dreher separates genuine GxP capability from vendor marketing. We test whether an ERP system supports audit trails, electronic batch records and change control natively — or whether it relies on add-ons that create their own validation burden.
Sustainability Consulting Sustainability Consulting: Integrating CSRD sustainability reporting with pharma operations — tracking Scope 1–3 emissions across manufacturing, cold chain logistics and API sourcing.
IT Strategy Consulting IT Strategy Consulting: Dreher builds GxP-compliant digital roadmaps that align computerised system validation, change control and documentation processes with EMA, FDA and ICH requirements — factoring in where your current landscape already meets the standard and where it does not.
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Why a Generic ERP Consultant
Cannot Do This

Pharma ERP is not a technology problem with a compliance layer on top. It is a compliance problem that happens to need technology. A consultant who starts with system features and adds GxP requirements afterwards will cost you a re-validation — or worse, an inspection finding. Dreher starts with the regulatory obligation and works backward to the system.

 
GxP compliance is assessed first.
Dreher maps regulatory expectations before any shortlist exists.
 
Batch traceability is tested against reality.
Not against a clean vendor demo.
 
Multi-site complexity is treated as validation risk.
Different systems, QMS maturity and regulatory exposure are tested early.
Curious which KPIs matter most for your role? Try our Pain Point Analyser
Pain Point Analyser

Key KPIs and Challenges in Pharma & Life Sciences

Pharmaceutical and biotech manufacturers in the DACH region face unique pressures — from GxP compliance across multiple production sites to serialisation mandates and the constant tension between validation rigour and speed to market. These are the KPIs and pain points Dreher typically encounters in pharma ERP assessments.

Feature / Need

Key KPIs (measurable targets)

Typical Challenges (pain points)

GxP Compliance & Validation
Key KPIs (measurable targets)

Full Annex 11 and 21 CFR Part 11 compliance across all computerised systems; reduction in critical inspection findings; complete CSV documentation coverage (IQ/OQ/PQ)

Typical Challenges (pain points)

Managing validation across multiple ERP, LIMS, MES and QMS systems simultaneously — especially when each system was implemented at a different time with different documentation standards

Full Annex 11 and 21 CFR Part 11 compliance across all computerised systems; reduction in critical inspection findings; complete CSV documentation coverage (IQ/OQ/PQ)

Managing validation across multiple ERP, LIMS, MES and QMS systems simultaneously — especially when each system was implemented at a different time with different documentation standards

Batch Release & Manufacturing
Key KPIs (measurable targets)

Measurable reduction in batch release cycle time; improved Right-First-Time (RFT) rates; OEE gains across packaging and production lines

Typical Challenges (pain points)

Manual batch record reviews creating bottlenecks; disconnected systems requiring duplicate data entry; QP release often slowed by paper-based or partially digitised documentation

Measurable reduction in batch release cycle time; improved Right-First-Time (RFT) rates; OEE gains across packaging and production lines

Manual batch record reviews creating bottlenecks; disconnected systems requiring duplicate data entry; QP release often slowed by paper-based or partially digitised documentation

Clinical-to-Commercial Handoff
Key KPIs (measurable targets)

Faster technology transfer from development to commercial manufacturing; improved data continuity between clinical trial management and production ERP

Typical Challenges (pain points)

Bridging the gap between clinical data systems (CTMS, EDC) and manufacturing ERP; scaling from small-batch clinical supply to full commercial production without re-validating the entire landscape

Faster technology transfer from development to commercial manufacturing; improved data continuity between clinical trial management and production ERP

Bridging the gap between clinical data systems (CTMS, EDC) and manufacturing ERP; scaling from small-batch clinical supply to full commercial production without re-validating the entire landscape

Serialisation & Traceability
Key KPIs (measurable targets)

Full EU FMD and DSCSA compliance; lot-level traceability from API sourcing through dispensing; recall capability measured in hours rather than days

Typical Challenges (pain points)

Integrating serialisation data across ERP, MES, packaging lines and third-party logistics; managing CDMO serialisation alignment

Full EU FMD and DSCSA compliance; lot-level traceability from API sourcing through dispensing; recall capability measured in hours rather than days

Integrating serialisation data across ERP, MES, packaging lines and third-party logistics; managing CDMO serialisation alignment

Curious which KPIs matter most to your business?
Pain Point Analyser

What should you demand from an ERP consultant in pharma?

In pharma, the wrong ERP advice does not just waste budget — it creates inspection risk.

Your ERP consultant must understand the difference between functional fit and regulatory fit. They should be able to explain how a system handles electronic batch records, audit trails and change control — not just inventory management and MRP. Dreher has assessed ERP landscapes across pharma manufacturers for over 30 years, and we reject vendor partnerships specifically so we can give you an answer the vendor cannot.

 

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What we do

We develop solutions that shape the future of companies, increasing competitiveness & unleashing potential.

What Dreher assesses first:

In pharma, you cannot optimise processes after go-live — because by then they are validated. Dreher maps your batch release workflows, data handoff points and manual workarounds before any system decision is made. Specifically, we look for:

  • Workflows that would fail GMP inspection if digitised as-is
  • Manual transcription points between ERP, LIMS, MES and QMS that create data integrity risk
  • Batch release bottlenecks that exist because of system gaps, not process design
  • Where your current process documentation actually matches what happens on the floor

Learn More

Where vendor-led projects typically fail:

Most ERP vendors treat compliance as a configuration checkbox. Dreher treats it as a design constraint that shapes the entire project. We ensure compliance capabilities are structural — not added as a layer after the system is already configured.

  • Audit trails, electronic signatures and change control designed into the system architecture, not bolted on
  • 21 CFR Part 11 and Annex 11 readiness validated before go-live, not documented after it
  • Pharmacovigilance data flows tested against actual adverse event scenarios
  • CSRD sustainability reporting integrated where applicable (larger manufacturers meeting Omnibus I thresholds)

Learn More

Why vendor independence matters most here:

Every ERP vendor will tell you their system "supports pharma." Dreher's job is to find out whether that is true for your specific regulatory exposure, your production model and your validation maturity. Because we have no vendor partnerships, we can ask the questions a partner consultant cannot:

  • Does the system support electronic batch records natively, or through an add-on that creates its own validation scope?
  • What does the vendor's pre-built IQ/OQ/PQ documentation actually cover — and what is left for you?
  • Can the system handle your serialisation requirements without middleware?
  • Will Quality and Regulatory sign off on this system, or just Operations?

Learn More

Where validation discipline determines success:

In pharma, every configuration change is a controlled change. Dreher manages implementation within a GAMP 5 risk-based framework — ensuring that validation documentation is created alongside the build, not retrospectively to satisfy an auditor.

  • Validation runs in parallel with configuration, not after it
  • ERP, MES, LIMS and serialisation platforms integrated under a single validated data model
  • Electronic batch records designed to replace manual documentation from day one
  • Multi-site rollouts managed with consistent master data, quality processes and change control across locations

 

Learn More

Only after the foundation is validated:

Automation in pharma only works when the underlying processes and data are clean, validated and GxP-compliant. Dreher does not lead with AI — we lead with the process and data foundation that makes AI usable in a regulated environment. When that foundation exists:

  • Batch record review can be partially automated, potentially reducing QP release bottlenecks
  • Manufacturing deviation and CAPA data can be analysed for patterns that manual review misses
  • Demand forecasting can be applied to reduce drug shortage risk
  • Environmental monitoring and deviation alerting can operate in real time rather than retrospectively

Learn More

stack layer one stack layer one Process Optimisation
stack layer two stack layer two Compliance
stack layer three stack layer three ERP Selection
stack layer four stack layer four ERP Implementation
stack layer five stack layer five Automation & AI

Process Optimisation

What Dreher assesses first:

In pharma, you cannot optimise processes after go-live — because by then they are validated. Dreher maps your batch release workflows, data handoff points and manual workarounds before any system decision is made. Specifically, we look for:

  • Workflows that would fail GMP inspection if digitised as-is
  • Manual transcription points between ERP, LIMS, MES and QMS that create data integrity risk
  • Batch release bottlenecks that exist because of system gaps, not process design
  • Where your current process documentation actually matches what happens on the floor

Learn More

Compliance

Where vendor-led projects typically fail:

Most ERP vendors treat compliance as a configuration checkbox. Dreher treats it as a design constraint that shapes the entire project. We ensure compliance capabilities are structural — not added as a layer after the system is already configured.

  • Audit trails, electronic signatures and change control designed into the system architecture, not bolted on
  • 21 CFR Part 11 and Annex 11 readiness validated before go-live, not documented after it
  • Pharmacovigilance data flows tested against actual adverse event scenarios
  • CSRD sustainability reporting integrated where applicable (larger manufacturers meeting Omnibus I thresholds)

Learn More

ERP Selection

Why vendor independence matters most here:

Every ERP vendor will tell you their system "supports pharma." Dreher's job is to find out whether that is true for your specific regulatory exposure, your production model and your validation maturity. Because we have no vendor partnerships, we can ask the questions a partner consultant cannot:

  • Does the system support electronic batch records natively, or through an add-on that creates its own validation scope?
  • What does the vendor's pre-built IQ/OQ/PQ documentation actually cover — and what is left for you?
  • Can the system handle your serialisation requirements without middleware?
  • Will Quality and Regulatory sign off on this system, or just Operations?

Learn More

ERP Implementation

Where validation discipline determines success:

In pharma, every configuration change is a controlled change. Dreher manages implementation within a GAMP 5 risk-based framework — ensuring that validation documentation is created alongside the build, not retrospectively to satisfy an auditor.

  • Validation runs in parallel with configuration, not after it
  • ERP, MES, LIMS and serialisation platforms integrated under a single validated data model
  • Electronic batch records designed to replace manual documentation from day one
  • Multi-site rollouts managed with consistent master data, quality processes and change control across locations

 

Learn More

Automation & AI

Only after the foundation is validated:

Automation in pharma only works when the underlying processes and data are clean, validated and GxP-compliant. Dreher does not lead with AI — we lead with the process and data foundation that makes AI usable in a regulated environment. When that foundation exists:

  • Batch record review can be partially automated, potentially reducing QP release bottlenecks
  • Manufacturing deviation and CAPA data can be analysed for patterns that manual review misses
  • Demand forecasting can be applied to reduce drug shortage risk
  • Environmental monitoring and deviation alerting can operate in real time rather than retrospectively

Learn More