Ontotext

MAY 26, 2021

Consider an example in which our first data source says that Microsoft invested $240 million in Facebook and the second – that on October 24, 2007 Microsoft invested in Facebook. If these sample sets are not of high quality, clean and representative, we cannot hope to train the algorithms to get useful results.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Occam's Razor

AUGUST 22, 2011

Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Data Quality Sucks, Let's Just Get Over It. Six Data Visualizations That Rock! The Awesome Power of Visualization 2 -> Death and Taxes 2007.

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

MARCH 12, 2012

All the way back in 2007, I was evangelizing the value of moving away from the "small data" world of clickstream data to the "bigger data" world of using multiple data sources to make smarter decisions on the web. The big data we are dealing with today puts the 2007 picture to shame.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

Grooper

AUGUST 19, 2019

Data science skills. Technology – i.e. data mining, predictive analytics, and statistics. Best practices for exploring collected data. Data is crucial to the success of business analytics. Just as Henry Ford used data to ensure success in the early 1900’s, we also depend on volumes of high-quality data.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. We derive our measurement of data quality, ICC, from the variance parameters in the model.$$

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52