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Digitization Program Risk & Mitigation

  • Writer: Anand Nerurkar
    Anand Nerurkar
  • Jun 17
  • 2 min read

#

Risk Area

Risk Description

Impact

Mitigation Plan

1️⃣

Business Alignment

Misalignment with business goals and KPIs

Wasted effort, poor ROI

🔹 Co-create business capability map and OKRs with business stakeholders 🔹 Establish a Business-Technology Governance Board 🔹 Review and adjust scope quarterly based on KPIs

2️⃣

Change Management

Resistance to new processes or tools by employees

Low adoption, rework

🔹 Run structured Organizational Change Management (OCM) program 🔹 Identify change champions and power users early 🔹 Provide role-based training, town halls, and ongoing support

3️⃣

Data Integrity

Poor data quality or incomplete migration

Workflow failures, decision-making errors

🔹 Conduct early data profiling and cleansing 🔹 Use a Master Data Management (MDM) strategy 🔹 Validate post-migration data with business users before go-live

4️⃣

Architecture & Scalability

Rigid or monolithic design limits future growth

High rework, poor performance

🔹 Adopt microservices and cloud-native patterns 🔹 Use API-first and event-driven architectures 🔹 Perform scalability and performance testing before rollout

5️⃣

Security & Compliance

Data breaches or regulatory non-compliance

Financial/legal penalties, reputation loss

🔹 Apply DevSecOps and shift-left security testing 🔹 Conduct threat modeling and regular penetration testing 🔹 Ensure compliance with local (e.g., SEBI/RBI) and global (e.g., GDPR) laws

6️⃣

Vendor Lock-in

Overdependence on single tool/platform/vendor

Loss of control, rising costs

🔹 Favor open standards and modular architecture 🔹 Have clear exit strategy and SLAs in contracts 🔹 Consider multi-vendor or hybrid strategies where feasible

7️⃣

System Integration

Failure to integrate with legacy or 3rd-party systems

Broken workflows, manual workarounds

🔹 Use standardized APIs and middleware (e.g., API Gateway, ESB) 🔹 Conduct early integration testing 🔹 Create integration reference architecture with fallback mechanisms

8️⃣

Talent & Skills

Lack of skilled staff to support digital systems

Delay in execution, post-launch issues

🔹 Upskill internal teams via certification programs 🔹 Use a blended model: internal staff + partners 🔹 Maintain a knowledge management repository (e.g., Confluence)

9️⃣

Governance & Execution

Poor visibility into risks, delays, or outcomes

Slippage, budget overruns

🔹 Establish Program Management Office (PMO) 🔹 Define governance structure with escalation paths 🔹 Use tools like JIRA, Azure DevOps for tracking progress and dependencies

🔟

Customer Experience

Digitized flows are not user-friendly or accessible

Low engagement, user drop-off

🔹 Co-design UX with customer feedback loops (design thinking) 🔹 Run usability testing and A/B experiments 🔹 Ensure mobile responsiveness, performance, and accessibility (WCAG) compliance


 
 
 

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