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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. But while the term ESG was first coined in 2004 by the United Nations Global Compact, the concept has been around for much longer. In 1995, the U.S

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What Is Hyperautomation?

O'Reilly on Data

Selenium , the first tool for automated browser testing (2004), could be programmed to find fields on a web page, click on them or insert text, click “submit,” scrape the resulting web page, and collect results. But the core of the process is simple, and hasn’t changed much since the early days of web testing. What’s required?

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Compliance bias in mobile experiments

The Unofficial Google Data Science Blog

An experimenter, once their candidate product change is ready for testing, often needs only to write a few lines of configuration code to begin an experiment. However the strategy of waiting until all (who will comply) have received the treatment is useful as a ground truth for evaluating our methods in the following. 465, 2004, pp.

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Unintentional data

The Unofficial Google Data Science Blog

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes.

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Why Data Driven Decision Making is Your Path To Business Success

datapine

While sometimes it’s okay to follow your instincts, the vast majority of your business-based decisions should be backed by metrics, facts, or figures related to your aims, goals, or initiatives that can ensure a stable backbone to your management reports and business operations. 1) Guard against your biases. 2) Define objectives.

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What Is Embedded Analytics?

Jet Global

2004: First went public 2021: Annual revenue of $21.25 Other money-making strategies include adding users in a per-seat structure or achieving price dominance in the market due. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance.