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. But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement.

Metrics 141

Metrics Reporting Analytics Marketing 141

Sisense

JUNE 9, 2021

Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. Gleaning actionable intelligence from disparate data sources.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

AWS Big Data

JANUARY 22, 2024

Founded in 2014, Acast is the world’s leading independent podcast company, elevating podcast creators and podcast advertisers for the ultimate listening experience. The success of the implementation meant assessing various aspects of the data infrastructure, data management, and business outcomes.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

datapine

FEBRUARY 23, 2023

The metrics are different and useful independently, but together, they tell a compelling story. click to enlarge** 3) Maps When to use Maps are great at visualizing your geographic data by location. This is when you are comparing data to itself rather than seeing a total – often in the form of percentages.

Visualization 177

Visualization Dashboards Sales Measurement 177

Occam's Razor

OCTOBER 14, 2014

[See step four in the process for creating your Digital Marketing and Measurement Model.]. should be 1,356,000), you've set a clear line in the sand as to what performance will be declared a success or a failure at the end of the measurement time period. Get the big trend over a large period of time for a specific page.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

AWS Big Data

AUGUST 7, 2023

Prepare the data Refer to the following notebook for the steps needed to create this use case. The data contains measurements of electric power consumption in different households for the year 2014. We aggregated the usage data hourly. All other RTS feature data must be INT or FLOAT data types.

Forecasting 86

Forecasting Data Warehouse Machine Learning Modeling 86

IBM Big Data Hub

AUGUST 7, 2023

AI enables efficient and accurate tracking and reporting of key performance metrics related to site performance such as enrollment rate, dropout rate, enrollment target achievement, participant diversity, etc. A mitigation plan facilitates trial continuity by providing contingency measures and alternative strategies.

Optimization 57

Optimization Forecasting Data-driven Strategy 57