Sisense

MAY 31, 2020

We’ve taken what we’ve learned from our customers and combined it with our own understanding of how the data and analytics world is evolving to drive innovations that unlock new possibilities and help our clients future-proof their products and services. Customer success isn’t a team sport – it’s a company value.

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. " I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. Yet there they are.

Marketing 126

Marketing Measurement Metrics Testing 126

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

OCTOBER 19, 2010

First presented at an eMetrics summit in 2005 the 10/90 rule was borne out of my observations of why most companies fail miserably at web analytics. If after rigorous analysis you have determined that you have evolved to a stage that you need a data warehouse then you are out of luck with Yahoo! Mongoose Metrics ~ ifbyphone.

Analytics 135

Analytics Testing Measurement Optimization 135