Business Transformation

We live in the age of Digital Transformation and only the companies that respond to today’s challenges will survive. Successful Business Transformation requires in-depth understanding of the People, Processes and Technology at the foundation of the enterprise. The need for transformation and operational excellence is radically changing the way your company defines strategy and success. Effective decision making must include Process Intelligence to drive sustainable competitive advantage:

• Business Flexibility and Agility to respond to rapidly changing environments, risks and capture opportunities when they arise
• Operational Excellence to ensure you perform effectively across the organization by measuring and enabling continuous improvement
• Cost Reduction and Resource Allocation to improve process efficiencies, optimize expenses and reduce end-to-end delivery times
• Regulatory Compliance to ensure you meet or exceed mandatory requirements for responsibility, traceability and accountability

Process Mining

End-to-end visibility for your processes can make the difference between success and failure. This process intelligence can be identified, analyzed and optimized using the core capabilities delivered through Process Mining. For many companies the majority of processes are already performed, tracked and managed through different IT systems of record. This information about process execution can be analyzed to discover patterns and insights that illuminate paths to better customer experiences and new operational efficiencies.

The key use cases which drive benefits from Process Mining include the following:

• Cash Flow Optimization (AR/AP)
  • Payment Discount Maximization, Reduce Days Sales Outstanding (DSO), Minimize Working Capital Costs
• Procurement / Supply Chain
  • Spend Optimization, Maverick Buying, Supplier Scorecards, Supply Chain Volatility, Regulatory Compliance
• IT Service Management
  • Resolution Times, Escalation and Reopen Rates, SLA Violations
• Execution Governance
  • Process Intelligence, Process and Policy Conformance, Regulatory Compliance

Process Governance

Processes are the DNA of every organization and execution of the correct processes is crucial. The Process Governance lifecycle includes managing inter-relationships between process models, version control, portal visibility and active notifications, electronic signature and approvals, document generation (SOPs) and process metrics to ensure the governance cycle is automated and measured effectively. Your design and execution of an enterprise process governance solution must deliver the right workflow capabilities:

• Definition: Identification of the specific tasks, roles, screens, data flows, and notifications to ensure robust governance workflow design.
• Deployment: Configuration and workflow release procedures to support changes to governance processes within a short period of time.
• Execution: Enable business and quality stakeholders to effectively communicate process model changes, notifications, training updates or outstanding tasks.
• Monitoring: Provide visibility to all stakeholders and an overview of pending tasks to support project managers with real-time status of all governance workflow processes.

Process Governance Strategy is more than storing the processes in one central repository and publishing them across the organization, but solving key business needs to:

• Facilitate continuous process improvements
• Support complex governance processes defined by the organization
• Automate administration tasks to ensure quality, consistency, and control
• Maintain full auditing trail for business and quality conformance
• Drive collaboration across departments, products, services and regions

Process Automation (RPA)

The future success of your business depends upon your ability to quickly identify opportunities and remove activities that impede performance. Process Mining delivers tremendous value by itself, however the greatest impact comes from automation of these processes. Process Automation enables you to transverse different technology systems and create the blueprint to drive rapid automation from inception to deployment:

• Build Stakeholder Engagement with immediate value realization
• Ensure Operational Visibility for digital workers with information to make better decisions faster

By combining Artificial Intelligence and Machine Learning you can predict and forecast processes into the future to optimize business operations through real-time monitoring.

Process Modeling

Business process models capture details of the day-to-day activities performed by everyone in your organization. Representing these processes requires a structured methodology or Business Process Framework. All processes follow standard notation (BPMN) throughout the entire process maturity lifecycle from Process Modeling to Process Governance, Process Mining and Process Automation.

Process Frameworks

Frameworks provide the foundation for managing the business processes and key technologies across your entire organization. You must establish and manage a common understanding for identification, representation and analysis using business processes. Reference frameworks accelerate the delivery of an effective Process Governance practice to drive process ownership and support stakeholders.

We have worked various industry and reference frameworks including:

• Process Classification Framework (PCF) : Developed and Provided by APQC.org
• Supply Chain Operation Reference (SCOR) : Developed and Provided by ASCM.org (APICS)
• Banking Industry Architecture Network (BIAN) : Developed and Provided by BIAN.org
• Association for Cooperative Operations Research and Development (ACORD) : Developed and Provided by ACORD.org
• Federal Enterprise Architecture Framework (FEAC) : Developed and Provided by the Federal Government