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Brand Measurement: Analytics & Metrics for Branding Campaigns

Occam's Razor

One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." It is criminal not to measure your direct response campaigns online. I also believe that a massively under appreciated opportunity exists to truly measure impact of branding campaigns online.

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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

What are the key climate risk measurements and impacts? Stress testing was heavily scrutinized in the post 2008 financial crisis. When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers. in partnership with Deloitte, to accurately measure climate risk.

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Business Intelligence and the COVID-19 Pandemic

Paul Blogs on BI

Firstly, let’s talk about the data and the metrics being used to track the pandemic. The three main metrics being tracked in this pandemic are: Confirmed Cases. As more testing becomes available this first metric will increase significantly. Total Deaths. Total recovered. Stay healthy.

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Make Every Sprint Count with DevOps Analytics

Sisense

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. If the main goal is to bring about efficiencies, shouldn’t there be some measurement available to make sure the target is being met? This is the ultimate measurement. The Process.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. The calculation methodology and query performance metrics are similar to those of the preceding chart.

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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery. Offer capabilities to analyze business impacts at all levels of the organization by linking both strategic and tactical risk metrics.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. return synthetic.