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Why CEOs should test big digital business ideas in tiny countries.

Mark Raskino

For example in 2003, when I visited Zagreb in Croatia for the first time – they had mobile phone text based payment for car parking. The President of Iceland Olafur Ragnar Grimsson explained this phenomenon to me when I had the privilege to interview him in 2011 (Gartner Report: G00212784 ). “So This is not a new observation.

Testing 53
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CBAP certification: A high-profile credential for business analysts

CIO Business Intelligence

IIBA is a nonprofit professional association founded in 2003 to promote the field of business analysis. According to the most recent salary survey report by IIBA, the average annual salary for a CBAP certified professional is $121,364, about 15% higher than a comparative salary for a non-certified business analyst.

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7 public health data modernization lessons from Canada’s superior COVID-19 response

IBM Big Data Hub

A proactive approach to the threat of a global health crisis After the SARS outbreak in 2003, federal and provincial governments in Canada recognized that their existing public health systems and IT were inadequate. Lesson 5: Prioritize agile configurability to adapt to developing disease scenarios.

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Diversity for Businesses: What happens if Diversity is at odds with the organization?

Jen Stirrup

I’m normally reporting into Board level, or one level below, so my projects tend to have high visibility across the organization. What happens if diversity is reduced to marketing, and the inclusion piece is forgotten? My teams are assigned to me, and they are usually made up of people who work full-time for the customer organization.

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Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). Experimentation & Testing : Google Website Optimizer, Offermatica, Optimost etc. ." Ok let me explain. Two New, Interesting & Non-Obvious Tools.

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Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. This tests the model’s ability to distinguish what is common for each item between the two data sets (the underlying $theta$) and what is different (the draw from $f_theta$).

KDD 40