The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. Last, we’ll provide a case study of how xRR can be used to measure improvements in a data-labeling platform.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

JANUARY 12, 2015

At the core of everything you will do in digital analytics is the concept of metrics. How do you define a metric: It is simply a number. Your digital analytics tools are full of metrics. Helpful post: Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies.]. Now you have your foundation, metrics and KPIs.

Analytics 150

Analytics Slice and Dice KPI Metrics 150

Occam's Razor

APRIL 13, 2015

Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable. I also don't like the slew of metrics thrown at us in the standard report, hence I switch to the Comparison view and just pick the two metrics I want.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Occam's Razor

JANUARY 7, 2014

The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. Remember none of these jobs will do any data collection/IT work, even in medium-sized companies.) All standard reports are simply the vendor engineer's attempt to showcase the data in the tool. " Kisses. Time on Site!

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Let’s just give our customers access to the data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Birst BI

JUNE 18, 2018

When the data sets are large, with numerous attributes, users spend a lot of time slicing and dicing for newer insights or apply their original hypotheses to a subset of data. This offers more accurate product demand predictions, all while reducing the dependency on highly skilled data scientists.

Slice and Dice 76

Slice and Dice Machine Learning Sales Data-driven 76