Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Feel free to substitute Data Lake for Data Warehouse if you want a more modern vibe, sadly it won’t change the failure statistics. . [5]. – McKinsey 2009. . [6].

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Occam's Razor

SEPTEMBER 29, 2009

Ideally you'll measure the number prior to your branding campaign, say Feb 2009, and then you'll measure it again during your campaign, March 2009. The data in the above report shows how frequently during a time period do the website's visitors visit the website. I am using Compete for the above report.

Measurement 128

Measurement Metrics Analytics Marketing 128

Peter James Thomas

AUGUST 12, 2018

Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

APRIL 21, 2021

Auxiliary techniques like relying on card holders to report fraudulent transactions have unfortunately proven to be ineffective [1]. In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data. It can be implemented as either unsupervised (e.g.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Domino Data Lab

JULY 9, 2019

When he retired in 2009 he had some time on his hands. When I showed up I was reporting to the head of BI who reported to CTO who reported to CIO who reported to EVP of digital products who reported to CEO. At this point data is a function that reports directly to CEO. Please help us make sense of it.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112