Data & Analytics

New in Data & Analytics

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An Executive Guide to the Winter 2020 Issue

MIT SMR Winter 2020 examines workers’ emotions and education, tech dilemmas, and how best to transform.

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A Noble Purpose Alone Won’t Transform Your Company

Leadership behaviors that build trust, purpose, and energy bolster collaboration and engagement.

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Is Deep Learning a Game Changer for Marketing Analytics?

Companies already use data to make marketing decisions. Will deep learning enable a leap forward?

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How Algorithms Can Diversify the Startup Pool

Biases related to gender and other demographic factors creep into decisions about which projects to fund with venture capital. Data-driven approaches can help tease out those biases and limit their impact. Algorithmic methods identify potential instances of discrimination and increase transparency, making it easier to find and fix problems. Aversion to algorithms can be tempered by letting decision makers retain some subjective control over the data-driven process.

Getting From Data to Impact

Open Access Brought to You By

Building great data and analytic models is a first step toward analytically driven decision making. But putting analytics applications into operation is a challenge. Open access to these three articles from MIT Sloan Management Review about operationalizing analytics is provided courtesy of SAS.

What to Expect From Agile

What happens when a large, established bank decides to adopt agile as a management model?

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Managing Talent With Analytics

Measuring Emotions in the Digital Age

Frontiers |

Employers have learned that their employees’ emotional states contribute to productivity, sales, and culture. But how do you measure emotions when self-reporting is often inaccurate because respondents either aren’t aware of or don’t want to report their emotions? Facial recognition technologies may hold the answer, but there are significant privacy concerns to be addressed.

How You Can Have More Impact as a People Analyst

Frontiers |

In the messy real world of ambiguous evidence and contentious objectives, organizational decisions — especially those about the people you’re hiring, developing, managing, and trying to retain — usually hinge on relationships and trust. So if you work in people analytics, you must learn to traffic in that currency to make an impact. It’s not enough to be right. You also have to sell your model or idea. These tactics can help.

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Communicating Data Insights

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On-Demand Webinars and Videos

Big Idea: Competing With Data and Analytics

The Competing With Data and Analytics initiative has investigated how technology enables competitiveness, answering the key question: How are organizations leveraging data and analytics to increase operational efficiency, engage key stakeholders, and report on business successes?


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