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 (!). 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

Metrics Advertising Reporting Software 123

Occam's Razor

APRIL 19, 2010

Through this consultative process we'll create a 2010 AOV target of $95. We worry so much about tags and data collection and Omniture vs. WebTrends. I'll confab with my Assistant Senior Vice President for American Online Sales. I'll look over my historical performance. Truly heart warming.

Metrics 138

Metrics Key Performance Indicator KPI Business Objectives 138

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. The big rise in digital consumption vs. 2010 is much more obvious now. More on that here: DC-DR-DA: A Simple Framework For Smarter Decisions.).

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. As of 2010 I still have a lot more years that I spend in the traditional data warehousing / business intelligence world than in web analytics.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Smart Data Collective

JULY 2, 2019

At Smart Data Collective, we strive to have a balanced conversation about the impact of big data. There are obviously a lot of beneficial changes that big data has spurred. However, big data has also created some important challenges as well, which we feel duty-bound to discuss.

Big Data 77

Big Data ROI Testing Statistics 77

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. References [1] Efron, B. 2] Palese P, Wang TT.

Experimentation 61

Experimentation Testing Statistics Metrics 61

datapine

APRIL 16, 2019

Often this is done through innovative dashboard software , visualizing once complicated tables and graphs in such ways that more people can initiate good data driven business decisions. With more people understanding the data at play, you’ll have an opportunity to receive more credible feedback. 3) Gather data now.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287