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

BizAcuity

FEBRUARY 15, 2019

Sales Analytics began to emerge as the scientific approach to selling in 2010 with sales becoming less about certain methodology or personality and more of a number game. Sales analytics enables the event management team in visualizing their target list and then segmenting it by industry, size and other data metrics.

Sales 67

Sales Analytics B2B ROI 67

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 139

IT Measurement Marketing Metrics 139

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

CIO Business Intelligence

FEBRUARY 26, 2024

The early 2010’s practice of co-locating talent supercharged collaboration, but also limited organizations’ ability to scale with a workforce based in high-density, cost-prohibitive metros. Communication should instead be optimized to provide the most time value for teams.

Cost-Benefit 98

Cost-Benefit Measurement Strategy Modeling 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. 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 143

Metrics Reporting Analytics Marketing 143

O'Reilly on Data

APRIL 23, 2024

Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. The most-clicked sponsored products were 17% more expensive and 33% lower ranked according to Amazon’s own quality, price, and popularity optimizing algorithms.

Advertising 338

Advertising Cost-Benefit Marketing Risk 338

Occam's Razor

JANUARY 20, 2010

End of a minor web analytics lesson on going beyond obvious metrics and never, ever, never forgetting context. Dos: You want that traffic to come on the optimal set of keywords (why simply bounce traffic?). The basic techniques you use to do search engine optimization between b2b and b2c do not change all that much.

Metrics 90

Metrics B2B Analytics Measurement 90

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

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 119

Analytics Consulting Metrics Experimentation 119

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 62

Experimentation Testing Statistics Metrics 62

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 151

Marketing Strategy Sales IT 151

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 364

Machine Learning Software Testing Technology 364

Jet Global

JANUARY 14, 2025

By 2010 the world was deep in the Great Recession and working hard on recovery. Teams will be focused on key performance metrics like return on assets (ROA), revenue growth rate, and gross profit margin. We are now officially a quarter of the way through the 21st century and isnt that a crazy thing to wrap your head around?

Finance 52

Finance Reporting Cost-Benefit Software 52

CIO Business Intelligence

FEBRUARY 18, 2025

As renowned technologist and entrepreneur Dave McCrory suggested back in 2010 , data has gravity and where it lands in the business makes it a default source of attraction with assumed quality for that business irrespective of its actual accuracy.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90