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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

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path.

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Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

In this blog post, we’re going to give a bit of background and context about management reports, and then we’re going to outline 10 essential best practices you can use to make sure your reports are effective. Contrasting different KPIs and metrics against each other. They’re also slow.

Reporting 263
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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. .” Similar to “carbon neutral” in the context of emissions, nature positive refers to stopping, avoiding and reversing environmental destruction.

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Get Context-Driven Natural Language Processing for the Best Search Results!

Smarten

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Which sales representative sold the most pancake mix during April 2015 to May 2019?

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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. What does that say about the #SQLFamily?

Metrics 104
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2020 MLB Free Agency Predictions

DataRobot Blog

This blog provides a unique take on using machine learning to predict free agent signings in the off-season. wRC per Plate Appearance over the last 5 Years (prior_5_wRC_per_PA): This rate metric of productivity per at-bat over the last five years served as the most important direct indicator of position player productivity in predicting AAV.