Remove 2010 Remove Data Collection Remove Metrics Remove Testing
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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

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. They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites).

Metrics 141
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Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets

Occam's Razor

"What is the difference between a metric and a key performance indicator (KPI)?" " "Are goals metrics?" There seems to be genuine confusion about the simplest, most foundational, parts of web metrics / analytics. Metric: A metric is a number. But not normal metrics. Dimensions.

Metrics 138
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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

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.

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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

In May 2010 (!). These toolbars also collect limited information about the browsing behavior of the customers who use them, including the pages visited, the search terms used, perhaps even time spent on each page, and so forth. Typically, data collected is anonymous and not personally identifiable information (PII).

Metrics 123
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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Usually at least a test. Usually for free. success measures.

Analytics 118
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Unintentional data

The Unofficial Google Data Science Blog

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.

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Why Data Driven Decision Making is Your Path To Business Success

datapine

While sometimes it’s okay to follow your instincts, the vast majority of your business-based decisions should be backed by metrics, facts, or figures related to your aims, goals, or initiatives that can ensure a stable backbone to your management reports and business operations. 3) Gather data now. The proof is in the numbers.