datapine

SEPTEMBER 29, 2022

These are the business/technical rules with which data must comply in order to be considered viable. Through the 5 pillars that we just presented above, we also covered some techniques and tips that should be followed to ensure a successful process. This is due to the technical nature of a data system itself.

Data Quality 241

Data Quality Metrics Data-driven Management 241

The Data Visualisation Catalogue

JANUARY 24, 2023

So I finally got around to looking into ChatGPT and while I may be a month or so behind, it has allowed me to see what others are saying on this topic before I write about it. While writing this post I found it was already getting too long. This demonstrates how ChatGPT could be useful for writing training materials.

Visualization 110

Visualization Interactive Data-driven Testing 110

Occam's Razor

APRIL 13, 2015

But, one simple strategy is to start with a standard report, and monkey with it, technical term (!), Custom dimensions requires a small amount of technical work , and often requires you to get help from a GACP. I've been speaking about it, writing about it and teaching about it. to give you the analysis you need.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Occam's Razor

FEBRUARY 25, 2013

This blog is centered around creating incredible digital experiences powered by qualitative and quantitative data insights. I felt compelled to write about this topic because I, too, am an analyst to the core. This part of the blog post is to deliver the specificity that you've come to expect on Occam's Razor.

Analytics 142

Analytics ROI Marketing Modeling 142

Alation

FEBRUARY 17, 2023

In this blog, I’ll address some of the questions we did not have time to answer live, pulling from both Dr. Reichental’s book as well as my own experience as a data governance leader for 30+ years. While it is possible to implement just the technical side, you will miss many aspects that lead to real success with data.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52