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Illuminating the black box: why CIOs should consider publishing an annual IT report

CIO Business Intelligence

One vehicle might be an annual report, one similar to those that have been published for years by public companies—10ks and 10qs and all those other filings by which stakeholders judge a company’s performance, posture, and potential. Such a report has a legacy already, if only a short one. Such has been the pattern of history.

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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

datapine

But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path. See these graphs originally published by Cogent Legal. With easy-to-use SQL query builders, a drag and drop interface, and a metric builder, data visualization tools can produce results in mere minutes.

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PASS Financials: past, present and the Future:

Jen Stirrup

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. million). Let me draw that out for you.

Metrics 104
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MLOps and the evolution of data science

IBM Big Data Hub

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. Reduced risk—Machine learning models need review and scrutiny.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it.

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The 2015 Digital Marketing Rule Book. Change or Perish.

Occam's Razor

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? Lack of loyalty shows simply re-publishing AP stories is useless. Fill it with the best web metrics to measure success. Got your own?

Marketing 140