A blog about data, tools, and operating collaborative high performance cultures.

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The Operational Utility of Metric Trees: Three Examples

Using concrete examples to illustrate the power of metric trees

Vijay Subramanian

Metric Trees: A Classic 2x2 on Time and Process

Using a classic 2x2 framework to explore metric tree modeling

Vijay Subramanian

Unique Challenges with Modeling Process Grains

Diving into the unique challenges with modeling process grains.

Vijay Subramanian

Three Types of "Grains" in Analyzing Business Metrics

Diving into the 3 types of grains that permeate business metrics.

Vijay Subramanian

Metric Trees in the Footsteps of Frameworks like Kimball

Metric Trees could become a canonical framework like Kimball's

Vijay Subramanian

Metric Trees as a "System of Record"

How metric trees can serve as an essential system of record.

Vijay Subramanian

Metric Tree Example: A Profit Tree for Trace Nutrition Shop

Sharing a rich real-world example of a metric tree

Vijay Subramanian

Bridging Data and Business Teams with Metric Trees

How metric trees help translate across data and business domains

Vijay Subramanian

A Common Example of Arithmetic Metric Equations

Exploring the power of metric equations with a simple example

Vijay Subramanian

Metric Analysis: Volume Mix vs Behavior

Sharing a common "mixshift" analysis pattern for a key metric of interest

Vijay Subramanian

Metric Trees : Modeling Inputs and Outputs

Metric trees model relationships between inputs and outputs

Vijay Subramanian

Streamlining Root Causing Using Metric Trees

How metric trees enable root causing, save time and generate $$$

Vijay Subramanian

Introduction to Metric Trees

A proper introduction to metric trees with a real world example

Vijay Subramanian

The Power of Modeling Segments using Business Semantics

Modeling segments in a business semantic graph

Vijay Subramanian

Business Semantic Graph - a Deeper Dive

A followup post diving deeper into a business semantic graph example.

Analytics on Semantics

It's time we embraced stronger modeling in the modern data stack.

Vijay Subramanian