Business Management System

Organizations benefit when their business management system effectively integrates key performance indicators (KPIs) and other performance measurements with the processes that created them.

The Integrated Enterprise Excellence (IEE) 9-step system provides this integration through an IEE value chain. The IEE system, an enhanced, next generation business process management methodology, also offers predictive performance metrics and a road map for analytically determining targeted strategies and improvement efforts which benefit the big picture.

Businesses can use the IEE methodology framework to achieve much success with their Operational Excellence (OE) or a lean Six Sigma deployments.

The 5 book Integrated Enterprise Excellence series provides the road maps and details to create an enhanced next generation business process management (BPM) system for organizations to enhance both their strategic and day-to-day management practices.

The Enterprise Performance Reporting System (EPRS) software provides transparent predictive performance reporting that is integrated with the processes that created them through a clickable IEE value chain.

AI Business Impact Verification: Did Your AI Project Improve Performance?

AI business impact verification helps leaders determine whether an artificial intelligence project has improved business performance. Faster recommendations, automated tasks, and attractive dashboards can demonstrate that a tool is being used. They do not, by themselves, establish that the enterprise is performing better. An AI project can appear successful while delivery delays, rework, customer dissatisfaction, […]

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Beyond the Hype: Driving Measurable Results with AI

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

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?

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

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

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?

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

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

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

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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