Sisense

MAY 31, 2020

Click here for a complimentary copy of the report. 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. Building a partnership.

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Occam's Razor

APRIL 25, 2011

" I'd postulated this rule in 2005, it is even more true in 2011. When a majority of your budget is invested in tools and data warehouses, rather than smart people to use them, you are saying you prefer to suck. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. The 10/90 rule.

Marketing 126

Marketing Measurement Metrics Testing 126

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams. You know what?

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