The Data Vault Methodology is a natural analytics counterpart to Domain Driven Design.
In 2013 I wrote a blog titled, Is OLAP Terminally Ill? I used the term "Terminally Ill" because I didn't believe that the strategy of managing pre-aggregations was dead. Temporarily unnecessary, maybe, but not dead. To be clear, by "OLAP" (Online Analytical Processing), I meant in both contexts of the software named SQL Server Analysis … Continue reading OLAP is Back as Kyvos Insights
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
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
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. Presumably the effectiveness of our efforts towards those goals and the rhyme and reason behind … Continue reading The Effect Correlation Score for KPIs
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 product. This captures a snapshot of the groups of similar customers right now, but it doesn't … Continue reading Cluster Drift
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 users will "sensibly choose" the tabular/in-memory option over OLAP? I realize some, including me, think this … Continue reading Is OLAP Terminally Ill?
I’ve encountered many situations where some set of complications in a cube model were eased by using an aggregation table derived from some base fact table as the fact table. The complications leading to that choice usually include expensive on-the-fly calculations, distinct count measures, or even many to many relationships. The main idea is that … Continue reading Thoughts Around “Aggregate Fact Tables”
Huge strides in the value proposition of BI will come by jumping the chasm from simply reporting on data provided by the integrated view of our enterprise to discovering novel and perhaps counter-intuitive relationships hidden in that data. With the discovery of such relationships, we can burst outside of the box with novel strategies for growth and novel resolutions of problems. … Continue reading Find and Measure Relationships in Your OLAP Cubes
There are two pieces of the Microsoft BI universe that I'm predicting will trend upwards with great vigor over the next year. The two pieces are the breakout for Predictive Analytics and the next step for Performance Management. These two pieces of the BI universe are crucial towards the goal of exponentially increasing the value of BI - … Continue reading Bridging Predictive Analytics and Performance Management (Updating)