Author Archives: Eugene

About Eugene

Business Intelligence and Predictive Analytics on the Microsoft BI Stack.

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 … Continue reading

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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. … Continue reading

Posted in Cutting-Edge Business Intelligence, Data Mining and Predictive Analytics, Map Rock, SCL (Soft Coded Logic) | 1 Comment

Micron’s Automata – A Rare Big Thing Out of Boise

Not many huge things come out of Boise and that is the very reason I live here. But something that should disrupt the semiconductor industry (the world in fact) is Micron’s Automata. It’s been occupying much of my thoughts since it … Continue reading

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The Effect Correlation Score for KPIs

Introduction Everything we do is intended to move us towards achieving some set of goals ranging from just satisfying our immediate hunger to achieving a revolution. These actions are executed within a strategy (or hierarchies of strategies) to varying extents of sensibility and organization. … Continue reading

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Cluster Drift

A deficiency I notice in practically every implementation of clustering (segmentation) is the snapshot mentality. For example, a vendor of a product would segment their customers in an attempt to isolate the ones who would be most likely to buy their … Continue reading

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Is OLAP Terminally Ill?

Someone told me yesterday that “OLAP is dead”. “Everyone is choosing tabular/in-memory.” I know it’s not dead, maybe at least sick. But did I underestimate the time of the tipping point, the curve in the hockey stick, where the vast majority of … Continue reading

Posted in SQL Server Analysis Services | Tagged | 12 Comments

Map Rock Problem Statement – Part 5 of 5

This is Part 5 of 5, the last of the Map Rock Problem Statement series. Part 4 closed with a discussion on the limitations of logic, in particular how the quality of our decisions are limited to whatever information we have available to us. No matter … Continue reading

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