From Data through Wisdom: The Case for Process-Aware Intelligence

My new book, Time Molecules, is available!! This is its launch-day blog (June 4, 2025)! Time Molecules is a book about bringing process awareness to business intelligence (BI). Traditional BI flattens reality into snapshots— scalar values, points of information— leaving us staring at dimensionally flattened shadows on a wall. But life unfolds over time, and … Continue reading From Data through Wisdom: The Case for Process-Aware Intelligence →

Beyond Ontologies: OODA Loop Knowledge Graph Structures

Introduction: Structuring OODA Loop for Real-World Decision Intelligence Decision-making isn’t just about research—it also involves adapting to change faster than the competition, seizing what can be ephemeral openings for opportunity. The OODA loop—Observe, Orient, Decide, Act—is a well-known model for this, originally developed for military strategy but applicable everywhere from business intelligence to AI-driven automation. … Continue reading Beyond Ontologies: OODA Loop Knowledge Graph Structures →

Trophic Cascades of AI

As I mentioned in a previous post, Sample From My Talk - NFA, I will be delivering two sessions at the Data Modeling Zone 2025 (DMZ) in Phoenix. It will be happening from Tuesday, March 4, 2025 through Thursday, March 6, 2025. That post included a preview one of my two sessions, Beyond Ontologies and Taxonomies—focusing on … Continue reading Trophic Cascades of AI →

The Intelligence of a Business

"The Intelligence of a Business" is the title I had envisioned for my book published about a month ago (June 21, 2024). However, my book was instead given the name, Enterprise Intelligence. I do like the title--I approved it and understand how it could be more "marketable". But it doesn't capture the soul of the … Continue reading The Intelligence of a Business →

Analytics Maturity Levels and “Enterprise Intelligence”

This blog revisits the traditional "analytics maturity model," providing a new perspective from the book "Enterprise Intelligence." The four analytics maturity levels: Descriptive, Diagnostic, Predictive, and Prescriptive, are explained along with their impact in the AI era. The blog emphasizes the importance of understanding these levels and their role in enterprise intelligence.

Exploring the Higher Levels of Bloom’s Taxonomy

Expanding BI Analyst Horizons with AI In the landscape of Business Intelligence (BI), the integration of AI and advanced reasoning in the enterprise is essential for staying afloat. To fully integrate with AI, traditional BI analysts, accustomed to working with empirical data and generating reports, must now expand their skills to include deeper analysis, evaluation, … Continue reading Exploring the Higher Levels of Bloom’s Taxonomy →

Levels of Pain – Refining the “Bad” side of the KPI Status

Everything we do towards achieving goals involves costs - sacrifice, investment (a positive way to look at it). We purposefully put things we already have (time, money, our career) to be consumed or at risk in the hope of achieving a goal. For the sake of this short blog, I'll call that investment "pain". I present this blog … Continue reading Levels of Pain – Refining the “Bad” side of the KPI Status →

The Magic of the Whole is Greater than the Sum of Its Parts

Prelude If businesses were people, they would lumber about in a vaguely purposeful manner like zombies. That's due to the top-down, military-style hierarchies of modern corporations that result in integration of information only at the top and only to a limited extent below. Imagine Gepetto the CEO (external puppet master) of Pinocchio. Pinocchio is managed through strings from … Continue reading The Magic of the Whole is Greater than the Sum of Its Parts →

The Effect Correlation Score for KPIs

This content discusses the importance of aligning enterprise efforts with goals through proper performance management and strategies. It introduces the concept of an "Effect Correlation Score" (ECS) to validate the validity of efforts and KPI statuses in a constantly changing, competitive world. The ECS measures the correlation between a cause and its intended effect and is a crucial aspect of Performance Management planning. It warns against blindly pursuing good KPI statuses without considering ongoing changes and correlations, and highlights the complex nature of cause-and-effect relationships within strategies. The post proposes the implementation of ECS in Performance Management to validate relationships and ensure their continued relevance.

Bridging Predictive Analytics and Performance Management

Update note on June 10, 2023: This blog is very old and much has changed since 2010. Performance Point is no longer a thing, Predictive Analytics is now Machine Learning. However, the main message about the importance of the Strategy Map still stands. The notion of a Strategy Map as the primary BI object of … Continue reading Bridging Predictive Analytics and Performance Management →