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Transforming FSI in ASEAN with Cloud Analytics

CIO Business Intelligence

auxmoney began as a peer-to-peer lender in 2007, with the mission of improving access to credit and promoting financial inclusion. Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. The Challenges in Scaling Analytics .

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. In this post, we’ll look at each of the four steps in the Lean Analytics Cycle in more detail. Let’s look at some case studies that will really help to drive the Lean Analytics Cycle home.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. In 2007, Colgate was ordered by the Advertising Standards Authority (ASA) of the U.K. Daniele Fanelli from The University of Edinburgh found that 33.7% Scientists!

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

It then goes on to show how a new framework called cross-replication reliability (xRR) implements these concepts and how several different analytical techniques implement this framework. While a measurement like weight seems to be pretty concrete, a variety of factors can introduce uncertainty about the “true value” that you’re measuring.

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Why model calibration matters and how to achieve it

The Unofficial Google Data Science Blog

bar{pi} (1 - bar{pi})$: This is the irreducible loss due to uncertainty. If calibration matters, our recommendation is to follow the paradigm proposed by Gneiting (2007) : pick the best performing model amongst models that are approximately calibrated, where "approximately calibrated" is discussed in the next section.

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New Thinking, Old Thinking and a Fairytale

Peter James Thomas

King was a wise King, but now he was gripped with uncertainty. – Gartner 2007. “60-70% From: peterjamesthomas.com , home of The Data and Analytics Dictionary , The Anatomy of a Data Function and A Brief History of Databases. The office of Chief Wizard commanded a stipend that was not inconsiderable. – CIO.com 2010.