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Enterprise. Orchestrated.


Today, transparency is key among Companies, Customers and Suppliers (shared visibility). Process is used to increase the quality of products and services while making the operation more efficient and effective. This improves competitive positioning while minimizing cost or waste. Systems and processes provide the connections among parties to refine supply and costs. Process improvement is driven by enterprise visibility, analytics and professional data management. We assist with keeping the business model and data model in sync to improve Company performance.

Business and Technical

While Production or Work Orders maybe issued in a business process by an Enterprise Resource Planning (ERP) system, the actional work is planned and controlled in a Manufacturing Execution System (MES) which is a technical manufacturing process. The overall business process benefits from knowing technical process metrics. For a manufacturing example, the main areas are Business Process Modeling (BPM) and Manufacturing Process Management (MPM).

Analytic Tools and Data need to mirror the business and technical processes to improve enterprise operations.

How does a Business Model and supporting Business Processes become a Data Model?

Companies with quality products and services delight Customers and create loyalty for continued profitable business. Our performance services are management-based with a Lean and Six Sigma approach for "process" and measurement accuracy.

U.S. Department of Commerce - National Institute of Standards and Technology (NIST)

International Standards Organization (ISO)

ISO 9000 is a series of five international standards published in 1987 by the International Organization for Standardization (ISO), in Geneva, Switzerland. Companies use the standards to help determine what they need to maintain an efficient quality conformance system. For example, the standards describe the need for an effective quality system, regular calibration of measuring and testing equipment, and an adequate record-keeping system. ISO 9000 registration determines whether a company complies with its own quality system. The standards define minimum requirements for quality assurance systems that directly influence product quality and customer satisfaction without suggesting tools for analysis, prioritization, and evaluation.

Six Sigma

The aim of Six Sigma is to reduce variation through statistical methods that lower process defect rates to less than 3.4 defects per million opportunities. Six Sigma focuses on putting measurement systems in place for work processes. Within these systems, Six Sigma projects identify the need to reduce variation and improve processes.

Six Sigma projects may involve anything from improving the processes involved in mass-producing component parts to completely redesigning an aircraft completion process so that the aircraft requires less maintenance. The Six Sigma methodology DMAIC (define, measure, analyze, improve, and control) is the system for improving existing processes that fall below specifications and need incremental improvement. DMADV (define, measure, analyze, design, and verify - sometimes referred to as Design for Six Sigma [DFSS]) - is used to develop new processes or products at Six-Sigma-quality levels.


Lean is a series of tools and techniques for managing your organization's processes. Specifically, Lean focuses on eliminating all non-value-added activities and waste from processes. Although Lean tools differ from application to application, the goal is always incremental and breakthrough improvement. Lean projects might focus on eliminating or reducing anything a final customer would not want to pay for:

  • scrap
  • rework
  • inspection
  • inventory
  • queuing or wait time
  • transportation of materials or products
  • redundant motion

Lean-focused organizations extend the concepts of waste elimination and value-added processes to suppliers, partners, and customers. At full potential, all aspects of a Lean organization's value chain have eliminated waste and are operating at full value-added potential.

Enterprise. Orchestrated.


Enterprise Business Processes and Technical Processes for Systems and Data.

Align key processes across the Enterprise to achieve optimal performance. Sync Enterprise Applications and Analytics.

Time intelligence speeds operations and provides clear communication with Associates, Customers, Partners and Suppliers.

Formal Lean Six Sigma or streamlined methods and techniques.

Define, Measure, Analyze, Improve and Control

Statistical Process Control (SPC): Run Charts, Control Charts and Design of Experiments

Gain the process advantage and include learning in the EDW and Data Lake.


Enterprise Visualizations, Dashboards and Reports.

Data Science

Leverage Desktop Excel, SQL, R, Python and Scala code. Hyperscale activities.

Integrate Data Science activities in the EDW for Enterprise-wide computations.

Data Mgmt.

Enterprise Applications, Other Data, EDW and Data Lake.

Data Roadmap >

Enterprise Operating System (EOS)



Data Science

Data Mgmt.