AWS Big Data

NOVEMBER 14, 2023

Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013. Since its creation in 2013, it has reached more than 40 million downloads and more than 700 million products have been listed. The marketplace can be accessed via mobile app or website.

Data Warehouse 64

Data Warehouse Analytics Testing Cost-Benefit 64

CIO Business Intelligence

MAY 18, 2023

In The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win (IT Revolution Press, 2013 ) , Bill — an IT manager — takes over a critical project that’s over budget and behind schedule. This title breaks teaches you to measure, predict, and build trust. “We The CEO demands that Bill deliver the project in 90 days.

IT 130

IT Recreation/Entertainment Software Technology 130

CIO Business Intelligence

NOVEMBER 7, 2022

However, the measure of success has been historically at odds with the number of projects said to be overrunning or underperforming, as Panorama has noted that organizations have lowered their standards of success. million in implementation costs. An investigation found that only about 30% of the data in the system was actually correct.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

Dashboards 71

Dashboards Data Processing Metrics Software 71

Edwin Chen

AUGUST 14, 2014

In an ideal world, we'd be able to run experiments – the gold standard for measuring causality – whenever we wish. How can we understand causal lifts in the absence of an A/B test? We measure Soylent's effect as the difference between each twin pair. In the real world, however, we can't. Propensity Modeling. a negative effect).

Modeling 75

Modeling Measurement Sales Testing 75

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Posteriors are useful to understand the system, measure accuracy, and make better decisions. Methods like the Poisson bootstrap can help us measure the variability of $t$, but don’t give us posteriors either, particularly since good high-dimensional estimators aren’t unbiased. Figure 4 shows the results of such a test.

KDD 40

KDD Testing Machine Learning Measurement 40

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease.

Machine Learning 50

Machine Learning Internet of Things Data-driven Cost-Benefit 50

Domino Data Lab

MARCH 27, 2019

This allows you to easily rearrange the steps (simply by moving lines), as well as to “comment out” particular steps to test and debug your analysis as you go. However, a grouped operation would allow you to compute the same summary measure (e.g., Kennedy, and La Guardia airports) in 2013. Analyzing Data Frames by Group.

Statistics 85

Statistics Data Science Visualization IT 85

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. To learn more about the Do in stage one please review my See-Think-Do-Coddle framework for content, marketing and measurement.]. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Look at the colors. Look at the icons. Beat Motrin.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

DECEMBER 3, 2012

It is not just what you do to attract traffic (what most people think of as marketing and advertising), but also what types of experiences you create (something people rarely think is marketing) and how good you are at delivering for where you should be in 2013 rather than 2009 (only the rarest of marketers think with this lens on).

Marketing 149

Marketing Advertising Strategy Optimization 149

CIO Business Intelligence

AUGUST 16, 2024

We need to really understand the drivers that influence customer and employee trust, as this is increasingly a litmus test,” says Johnson. In The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win (IT Revolution Press, 2013 ) , Bill — an IT manager — takes over a critical project that’s over budget and behind schedule.

IT 137

IT Technology Management Software 137

Occam's Razor

JANUARY 31, 2017

The latter is especially important because it directly ties to what content the ads/marketing should contain, what the tone and texture should be of the landing page/app experience, and what we'll use to measure success (S, T, D, C metrics). " Notice the subtle shift in posture as well. The so what was $80 million in missed revenue.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

Occam's Razor

APRIL 29, 2013

A benchmark for you: In 2013 if 30% of your time, Ms./Mr. You measure bounce rate and you can find those things, then figure out if the problem is at the source (ads) or destination (your site). Because Likes (and +1s, Followers) measure a fleeting Hello. Would you measure the success of your trades based on cost per trade?

Marketing 166

Marketing Metrics Advertising Measurement 166

IBM Big Data Hub

FEBRUARY 22, 2024

But it’s equally important that they have a deep understanding of the risks and limitations of AI and how to implement the appropriate security measures and ethics guardrails. Note: These measures of responsibility must be interpretable by AI non-experts (without “mathsplaining”). This is misguided.

Metadata 91

Metadata Measurement Risk Modeling 91

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. One way that we can get around this is to use the proportion of tags that fall into a given class as a measure of our degree of confidence in that class association.

Modeling 59

Modeling Metadata Publishing Sales 59

Jet Global

MAY 1, 2023

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. How to measure the value. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52