Integrated Enterprise Excellence, Vol. II Business Deployment: A Leaders' Guide for Going Beyond Lean Six Sigma and the Balanced Scorecard

For long-lasting-over-time improved decision making to occur that is not so dependent upon the sophisticated insight of a few key individuals, an enterprise management system framework is needed that utilizes business intelligence and other information with a blending of analytics with innovation. From this wise blending, targeted strategies and efforts are created so that the business as a whole benefits.

In businesses, SMART (Specific, Measurable, Actionable, Relevant, and Time-based) goals need to be determined through the integration of analytics with innovation at the enterprise level and cascaded downward throughout the organization. SMART goals need to be assigned to 30,000-foot-level operational metrics improvement needs so that there is personal accountability for achievement.

This personal-accountable, 30,000-foot-level operational metric improvement need creates a pull-for-project creation, which is different from traditional Lean Six Sigma, Six Sigma, Lean Kaizen Event, and Total Quality Management (TQM) problem solving systems, where improvement projects are often pushed-for-creation by group brainstorming sessions. A push-for-improvement project creation system can result in organizations claiming that they have saved 100 million dollars through project-completions, but nobody can find the money; i.e., a silo reported savings does not necessarily translate to an enterprise benefit.

Volume 2 of this three volume series provides a step-by-step leadership-orchestrated framework roadmap for the described business issues and needs. In IEE, for example, enterprise analytics is blended innovation in the Analyze step of a unique Enterprise process Define-Measure-Analyze-Improve-Control (E-DMAIC) roadmap - before strategy creation.