New systems remain underutilized as employees revert to legacy processes. Without structured adoption strategies, ROI diminishes significantly within the first 12 months.
Data stewards and business users resist new MDM/RDM processes due to unclear responsibilities, perceived complexity, or lack of understanding of benefits.
Projects that should deliver value in 6 months stretch to 18+ months. Each delay increases costs and erodes executive confidence in the initiative.
Organizations allocate 90% of budget to technology and 10% to people. Research shows the inverse correlation: projects with adequate change budgets succeed 96% more often.
Post-implementation support requests surge by 300% when training is inadequate. Critical processes stall as users struggle with new workflows.
Without proper governance training, data quality improvements from MDM/RDM implementations erode within 6-12 months as bad habits resurface.
Challenge: New data stewardship roles, workflow approvals, and quality monitoring require significant behavioral change.
Challenge: Centralized reference data affects multiple systems and teams who previously managed data independently.
Challenge: Automation shifts responsibilities from manual data entry to exception handling and AI oversight.
Challenge: BTP integration connects disparate systems, requiring new skills and cross-team collaboration.
Systematic analysis of how RDM, MDM, AI automation, and SAP BTP implementations affect each user group. We map current vs. future state processes and quantify change magnitude.
Structured communication plans that address concerns before they become resistance. Tailored messaging for executives, managers, data stewards, and end users.
Customized curricula for data stewards, business users, IT administrators, and executives. Training designed around your specific MDM, RDM, or BTP configuration.
Post-go-live support structures that sustain adoption. We establish super-user networks, help desk protocols, and continuous improvement feedback loops.
Quantitative assessment of organizational readiness before, during, and after implementation. Data-driven insights to adjust strategy in real-time.
Comprehensive documentation of data governance processes, decision rights, and escalation paths. Essential for sustained data quality in MDM and RDM programs.
Active and visible executive sponsorship is the #1 contributor to change success. We coach sponsors on their critical role.
We apply proven frameworks (ADKAR, Kotter) adapted specifically for data management and SAP implementations.
Change management must start at project initiation, not before go-live. We integrate from day one.
Generic training fails. Role-specific, scenario-based training aligned to your processes drives retention.
Learning doesn't end at go-live. Sustained reinforcement ensures new behaviors become habits.
Change management should begin at project initiation, ideally during the business case phase. Early involvement allows for stakeholder analysis, communication planning, and resistance mitigation before issues escalate. Projects that introduce change management only before go-live experience 3x higher resistance and 2x longer adoption timelines.
Industry best practice recommends 15-20% of total project budget for change management activities. This includes stakeholder engagement, communication, training development, delivery, and post-go-live reinforcement. Organizations that invest adequately in change management see 143% higher ROI on their technology investments.
We measure success through leading indicators (awareness levels, training completion, stakeholder engagement) and lagging indicators (system adoption rates, process compliance, data quality metrics, support ticket volumes). Our dashboards provide real-time visibility into adoption progress and areas requiring intervention.
Internal teams can execute change management with proper methodology and coaching. However, specialized expertise in data management change is valuable because MDM, RDM, and BTP implementations involve unique challenges around data ownership, stewardship roles, and cross-functional governance that differ from typical IT projects.
It's never too late to introduce change management, though earlier intervention yields better outcomes. We conduct rapid assessments to identify critical gaps, prioritize high-impact interventions, and establish foundational elements. Mid-project engagement typically focuses on training acceleration and resistance mitigation.
Effective post-go-live support spans 90-180 days, depending on implementation complexity and organizational readiness. This period is critical for reinforcing new behaviors, addressing emerging issues, and transitioning to steady-state operations. We design sustainability plans to ensure long-term success beyond our engagement.
