Data Inconsistency
Multiple sources of truth.
→ Data governance & validation.
Change Resistance
Low user adoption rates.
→ Change champion programs.
System Fragmentation
Manual data transfer between platforms.
→ API-first architecture.
Vendor Dependencies
Restrictive contracts & exit barriers.
→ Strategic negotiation.
Process Silos
Disconnected workflows.
→ Cross-functional process mapping.
Technical Debt
Legacy system dependencies.
→ Phased migration strategies.
Capacity Limitations
Systems unable to scale with growth.
→ Future-proof architecture design.
Budget Overruns
Unforeseen costs & scope creep.
→ Transparent TCO analysis.
Regulatory Compliance
Audit trail & compliance gaps.
→ Built-in compliance frameworks.
System Performance
Latency impacting productivity.
→ Optimization & load testing.
Over-Customization
Unmaintainable bespoke solutions.
→ Configuration over customization.
Knowledge Gaps
Inadequate end-user training.
→ Continuous learning programs.
Stakeholder Alignment
Lack of executive buy-in.
→ Structured change methodology.
Data Migration
Quality degradation & data loss risks.
→ Automated validation.
Unauthorized Tools
Proliferation of shadow IT.
→ Centralized governance.
Limited Visibility
Insufficient business intelligence.
→ Real-time dashboards.
Access Constraints
Desktop-dependent workflows.
→ Mobile-first deployment.
Security Exposure
Inadequate access controls.
→ Zero-trust security model.