Sisense

JUNE 9, 2021

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. FIFA didn’t even start counting assists until 1994 !

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Surely you are not surprised that digital finally beats TV.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

FEBRUARY 22, 2010

In May 2010 (!). It is simply magnificent what you can do with freely available data on the web about your direct competitors, your industry segment and indeed how people behave on search engines and other websites. Not all sources of CI data are created equal. Varying degrees of data are collected from a panel.

Metrics 123

Metrics Advertising Reporting Software 123

Occam's Razor

MARCH 23, 2010

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. Usually at least a test. This is sad. Usually for free.

Analytics 118

Analytics Consulting Metrics Experimentation 118

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. We must correct for multiple hypothesis tests. We ought not dredge our data.

Experimentation 61

Experimentation Testing Statistics Metrics 61

datapine

APRIL 16, 2019

The importance of data in decision lies in consistency and continual growth. It enables companies to create new business opportunities, generate more revenue, predict future trends, optimize current operational efforts, and produce actionable insights. 3) Gather data now. The proof is in the numbers. 6) Analyze and understand.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287