The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

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. And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. The data collected by these devices is used to design personalized training plans.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Occam's Razor

FEBRUARY 25, 2014

We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. Calibrate data altitude optimally. #4. Yes, cost per click is metric. The metric CPC aside, we do present data like this all the time. Lesson 3: Calibrate data altitude optimally.

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. Or an actual outcome metric. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

FEBRUARY 22, 2010

In May 2010 (!). The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. Check the definitions of various metrics. For example, if you see a metric called Cookies, find out exactly what that metric means before you use the data.

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. This is sad. Even a little frustrating. success measures.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

FEBRUARY 20, 2012

It will be a great reflection of how well thought out their acquisition strategy is, or how sub-optimal it is. ~ If it stinks that tells me a lot (remember the year of mobile was 2010!). While at Compete I can also dig into a whole bunch of metrics like Visits, PageViews, udience segmentation, and so much more. Good context.

IT 138

IT Measurement Marketing Metrics 138

Occam's Razor

JUNE 11, 2014

According to eMarketer in 2010 we spent 3:11 (hrs:min) on digital content consumption and 4:24 on TV in the US. Then we did the next most optimal thing, focused on creating "bold standard" reviews. Take any metric you want. Pick any metric you want. Create joy-inducing mobile experiences. Follow-on views.

Marketing 150

Marketing Strategy Sales IT 150

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 61

Experimentation Testing Statistics Metrics 61

datapine

APRIL 16, 2019

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. In most cases, this can prove detrimental to the business.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

O'Reilly on Data

JANUARY 25, 2021

We don’t see that in our data, though there are certainly some metrics to say that artificial intelligence has stalled. Think quality control in a factory; think intelligent search on O’Reilly online learning ; think optimizing data compression ; think tracking progress on a construction site. So why is it in third place?

Machine Learning 363

Machine Learning Software Testing Technology 363