datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

JUNE 25, 2012

The way data is collected online and what happens to it is a much-scrutinized issue (and rightly so). Digital data collection is also exceedingly complex, perhaps a reflection of the organic nature, and subsequent explosion, of the internet. Web Data Collection Context: Cookies and Tools.

Data Collection 130

Data Collection Advertising Metrics Reporting 130

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. In 2012, the global mean temperature was measured at 58.2 degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363

Occam's Razor

APRIL 29, 2013

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data. Here's why… Real-time data is very expensive. It is expensive from a systems/platforms/data processing/data reporting perspective. PPS: I've mentioned one exception in the past.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

MAY 27, 2015

How about magazines? Yes, you can get some weak demographic or, a bit better, psychographic signals from surveys TV channels or magazines did. The content of the letter could be customized to Stephanie's data/behavior. In large measure that is because of the rise of programmatic buying. Can you do RM+RP+RT using TV?

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Domino Data Lab

FEBRUARY 4, 2019

The ability to measure results (risk-reducing evidence). These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Let’s roll the clock back ~65 years. Taking a pulse.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66