Integrated Enterprise Excellence

The next generation business management system, Integrated Enterprise Excellence (IEE), integrates predictive scorecards with their processes. IEE provides an enhanced business management system that integrates analytically determined strategies with innovation so that improvement efforts give focus to enhancements so that the enterprise as a whole benefits.

Traditional performance scorecards such as a table of numbers, bar charts, or red-yellow-green scorecards can lead to unhealthy behaviors and/or wasteful firefighting activities. The 9-step IEE system avoids these issues and provides predictive scorecards that can lead to insight to where improvement efforts should give focus so that the enterprise as a whole benefits from process enhancement efforts.

Enterprise Performance Reporting System software (EPRS software) is available which provides automatic reporting of predictive process performance metrics that are linked with their processes.

The 30,000-foot-level predictive performance metric reporting system of IEE can also be used as a methodology to maintain the gain after a process has been enhanced.

AI Business Process Improvement: Avoid Wrong Processes

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AI Business Process Improvement offers organizations unprecedented opportunities to analyze data, identify inefficiencies, and recommend operational changes. But an important question is often overlooked: Is AI improving the processes that actually determine enterprise performance? An AI initiative can achieve its technical objectives, reduce processing time, and increase departmental productivity while producing little or no meaningful […]

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Beyond the Hype: Driving Measurable Results with AI

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Integrating AI into your business management system is the ultimate key to shifting your artificial intelligence strategy from a tech experiment into a driver of predictable economic value. Many companies dive headfirst into the technology trap. They buy software, launch siloed projects, and celebrate the deployment of an application without ever asking how it affects

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AI Decision Governance: How Leaders Keep AI Aligned with Business Priorities

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AI decision governance provides executives with a structured way to ensure that artificial intelligence supports the priorities of the enterprise rather than becoming another collection of disconnected technology initiatives. Organizations are rapidly adopting AI to analyze data, identify opportunities, automate activities, and recommend actions. The potential is enormous. But an important management question is often

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Is Your Executive Dashboard Telling You What Happened—or What Will Happen?

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Is Your Executive Dashboard Telling You What Happened—or What Will Happen? Executives have more data available today than at any other time in business history. Dashboards display sales, costs, quality, delivery, customer satisfaction, productivity, safety, and dozens—or even hundreds—of other key performance indicators. But there is an important question that is rarely asked: Is your

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Netflix’s Freefall: A Reckoning for Boeing — What It Reveals About Boeing’s Management System

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Freefall: A Reckoning for Boeing focuses considerable attention on Boeing’s leadership, corporate culture, quality concerns, and decisions associated with financial and production pressures. The documentary raises an important question that deserves further consideration: What kind of management system could help prevent an organization from repeatedly making decisions that contribute to serious operational and quality problems?

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How to Integrate AI into a Business Management System

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Integrate AI into a business management system and artificial intelligence can become much more than a tool for generating answers, analyzing data, or recommending projects. It can become part of an integrated framework for improving the overall performance of an enterprise. Organizations are rapidly adopting AI. Leaders are using it to summarize information, identify patterns,

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AI Can Recommend Projects—But Are They the Right Projects?

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AI project selection can identify improvement opportunities faster than people could ever analyze them manually. Artificial intelligence can examine enormous amounts of operational and business data, identify patterns, highlight anomalies, and recommend areas for improvement. But there is a fundamental management question that AI cannot answer from data alone: Are these the right projects for

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Why KPIs Don’t Predict Future Performance — and What Leaders Should Use Instead

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Why KPIs don’t predict future performance is an important issue for executives who rely on dashboards and scorecards to make business decisions. Most traditional Key Performance Indicators tell management what happened during the last week, month, quarter, or year. They may compare that result with a target and display the outcome as red, yellow, or

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Executive Dashboard Decision Making: Why Dashboards Often Mislead Leaders

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Executive Dashboard Decision Making: Why Dashboards Often Mislead Leaders Executive dashboard decision making can lead leaders in the wrong direction when conventional dashboards treat every increase or decrease in a KPI as meaningful. Executive dashboards often look sophisticated. They may contain charts, gauges, targets, red-yellow-green indicators, month-to-month comparisons, and dozens of key performance indicators. But

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How an Integrated Business Management System Improves Business Performance

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An integrated business management system should do more than track KPIs, conduct periodic reviews, and launch improvement projects. It should provide leadership with a structured method for connecting strategy, processes, performance measures, improvement activities, and financial results. Unfortunately, many organizations manage these activities independently. Strategic planning occurs in one part of the organization, performance reporting

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