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Value Stream in Business Process Redesign

$197.00
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What does the Value Stream in Business Process Redesign course cover?

Value Stream in Business Process Redesign is covered here in 7 modules: Identifying and Mapping Core Value Streams, Quantifying Value and Waste in Existing Processes, Designing Future-State Value Streams and 4 more. The outline lists 42 specific topics, opening with selecting which business units or product lines to prioritize for value stream analysis based on revenue impact, customer pain points, and operational.

How do you approach Value Stream in Business Process Redesign step by step?

The work is sequenced in 7 stages. It starts with Identifying and Mapping Core Value Streams, moves through Quantifying Value and Waste in Existing Processes and Designing Future-State Value Streams, and ends at Performance Monitoring and Continuous Improvement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Value Stream in Business Process Redesign course?

Module 1 is Identifying and Mapping Core Value Streams. It works through selecting which business units or product lines to prioritize for value stream analysis based on revenue impact, customer pain points, and operational bottlenecks., deciding between event-based process mining and manual process observation for capturing current-state workflows in complex legacy environments., resolving discrepancies between documented SOPs and actual employee behavior during.

How is the Value Stream in Business Process Redesign course delivered?

The Value Stream in Business Process Redesign course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Value Stream in Business Process Redesign course cost?

The Value Stream in Business Process Redesign course is $198 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Process Redesign in Value Stream Mapping Dataset, Value Stream in Value Stream Mapping Dataset, Value Stream Analysis in Value Stream Mapping Dataset, Value Stream Mapping in Value Stream Mapping Dataset.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the full lifecycle of value stream redesign, equivalent in scope to a multi-phase operational transformation program, addressing technical, organizational, and systemic challenges encountered when aligning complex business processes across functions, technologies, and governance requirements.

Module 1: Identifying and Mapping Core Value Streams

  • Selecting which business units or product lines to prioritize for value stream analysis based on revenue impact, customer pain points, and operational bottlenecks.
  • Deciding between event-based process mining and manual process observation for capturing current-state workflows in complex legacy environments.
  • Resolving discrepancies between documented SOPs and actual employee behavior during process walkthroughs in regulated departments.
  • Determining the appropriate level of granularity for value stream maps—balancing detail with readability across executive and operational stakeholders.
  • Integrating customer journey data with internal process timelines to identify misalignments between perceived and actual value delivery.
  • Establishing ownership for cross-functional process segments that span multiple departments with conflicting performance metrics.

Module 2: Quantifying Value and Waste in Existing Processes

  • Defining what constitutes "value-added" time for knowledge-intensive tasks where output quality varies by performer.
  • Calculating cycle time efficiency in processes involving parallel workflows and conditional branching, such as new product onboarding.
  • Assigning monetary impact to non-financial waste categories like rework, handoff delays, and approval bottlenecks in service delivery.
  • Deciding whether to use time-motion studies or system log data to measure touch time in high-volume transactional processes.
  • Handling resistance from middle management when performance metrics reveal inefficiencies in their operational control areas.
  • Normalizing waste metrics across business units with different process maturity levels to enable benchmarking.

Module 3: Designing Future-State Value Streams

  • Choosing between incremental automation (RPA) and full workflow redesign when addressing repetitive manual tasks.
  • Reconfiguring role responsibilities in a process redesign that eliminates traditional approval layers, triggering union or HR policy reviews.
  • Designing exception handling paths in streamlined workflows to prevent system deadlock when edge cases occur.
  • Integrating compliance checkpoints into lean workflows without reintroducing redundant verification steps.
  • Deciding whether to standardize processes globally or allow regional variations due to legal or cultural constraints.
  • Aligning future-state KPIs with existing enterprise performance dashboards to ensure adoption and tracking.

Module 4: Change Management and Organizational Alignment

  • Negotiating shared performance targets between departments previously measured on siloed outputs.
  • Addressing workforce concerns about job elimination when introducing straight-through processing in finance operations.
  • Sequencing stakeholder engagement activities to secure buy-in from legal, risk, and IT before process changes are finalized.
  • Developing role-specific training materials for employees transitioning from batch processing to real-time workflow systems.
  • Managing conflicting priorities when business units demand customizations that undermine process standardization goals.
  • Establishing feedback loops from frontline staff to capture unintended consequences during pilot implementations.

Module 5: Technology Enablement and System Integration

  • Selecting between low-code workflow platforms and custom development for orchestrating redesigned processes with legacy backend systems.
  • Designing API contracts between BPM tools and core ERP systems to ensure reliable data synchronization across process steps.
  • Implementing process analytics dashboards that reconcile data from multiple source systems with inconsistent timestamps.
  • Handling master data mismatches when merging customer records from disparate systems during a unified service process rollout.
  • Configuring role-based access controls in workflow engines to comply with segregation of duties policies in financial processes.
  • Planning data migration from legacy case management systems to new BPM platforms without disrupting ongoing operations.

Module 6: Governance, Compliance, and Risk Integration

  • Embedding audit trails into automated workflows to meet regulatory requirements for financial transaction approvals.
  • Updating internal control frameworks to reflect process changes that reduce manual intervention in procurement cycles.
  • Conducting privacy impact assessments when redesigning customer onboarding processes that consolidate personal data.
  • Reconciling lean process objectives with SOX compliance requirements for dual controls in accounts payable.
  • Establishing escalation protocols for automated processes that fail without human detection.
  • Documenting process variants for regulated markets while maintaining a single global process model.

Module 7: Performance Monitoring and Continuous Improvement

  • Setting dynamic thresholds for process performance alerts to avoid alert fatigue in high-volume operations.
  • Attributing SLA breaches to specific process segments when delays result from interdependent workflows.
  • Using statistical process control to distinguish between common-cause variation and special-cause defects in service delivery.
  • Updating process models in response to system upgrades that modify available integration points or data fields.
  • Conducting periodic value stream reviews to identify new waste sources introduced by organizational restructuring.
  • Integrating customer satisfaction metrics with operational data to prioritize improvement initiatives based on business impact.