Data & Analytics

An Executive Guide to the Winter 2020 Issue

MIT Sloan Management Review’s Winter 2020 issue explores the dilemmas managers face in using blockchain, machine learning, and marketing analytics effectively; strategies to recognize potential threats to your business; the underpinnings of successful organizational transformation; and meeting the emotional and educational needs of your employees.

A Noble Purpose Alone Won’t Transform Your Company

A noble purpose isn’t enough to create employee engagement within a company. The primary determinant of engagement is the level and quality of interpersonal collaboration. Leaders play a key role in these interactions. Their behaviors can create an environment of trust, imbue work with purpose, and generate positive energy — three conditions that nurture interpersonal collaboration and, in turn, bolster engagement.

People-Centered Design Principles for AI Implementation

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As the AI field currently stands, deep learning is playing an increasingly critical role. As organizations begin adopting deep learning, leaders must ensure that these artificial neural networks are accurate and precise–lest they negatively affect business decisions and potentially hurt customers, products, and services.

Is Deep Learning a Game Changer for Marketing Analytics?

The technology that underpins deep learning is becoming increasingly capable of analyzing big databases for patterns and insights. Before long, companies will be able to integrate a wide array of databases to discern what consumers want, and then leverage that information for market advantage. Deep learning might also be used to design products to meet consumers’ personal needs. Different types of organizations will try to harness the powers of deep learning in their own ways.

The State of AI: Lessons From the Field

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The 2019 MIT SMR and BCG Global Research Report Winning With AI looks at why there is a big gap between companies getting value from AI and those that aren’t as well as the cultural and leadership factors that characterize AI pioneers. This webinar summarizes the findings and lessons of the research.

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Every Number Tells a Story

You stand in front of a roomful of decision makers and present an iron-clad case for a compelling, data-backed proposal. The group’s reaction? Tepid, at best. So, what happened? Nancy Duarte would likely tell you that you were missing the story behind the data. In this episode of Three Big Points, Duarte shows us how to bring data to life in a way that will win people over to your idea.

Demystifying the Intelligence of AI

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Three common trouble points impede companies moving toward using AI: Leaders are unclear what it means to adopt AI; systems are drawing from too much junky data; and there isn’t a careful balance between customer loss of privacy and the value returned. These problems can be resolved only when leaders pay close attention to the strategic challenges of bringing AI on and approach AI as an integrated element of their processes.

Why Analytics Don’t Always Pay Off in the Playoffs

Every team has a data-based strategy for regular season play — but the playoffs are a completely different story. In this episode of Counterpoints, we talk with Mike Trudell, a reporter who covers the Los Angeles Lakers for ESPN and other sports news outlets, about the mysterious intangibles that come to the foreground during the playoffs.

The Best of This Week

This week’s must-reads for managing in a digital age: just because companies recognize re-skilling and upskilling is critical doesn’t mean they’re doing it right. Also, how to choose charts everyone understands, where blockchain is headed in the enterprise, and words of wisdom for managing your career in an age of uncertainty.

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Choose Charts Everyone Understands

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Complex charts are good for aggregating data and then digging into it, especially if users can click on sections to find additional material or generate custom data sets. But interactive data visualizations aren’t always necessary — and sometimes, they’re just too complicated. While complex charts are good for exploring data, a classic bar chart, line chart, or pie chart is often best for communicating information.

Front Office, Disrupted

The explosion of streaming media offers fans unlimited access to sports and entertainment. So how can teams entice their audience to the events happening here and now? Sports Innovation cofounder and CEO Angela Ruggiero says success starts with understanding just how fans’ behavior has changed with the advent of digital technology — meaning, executives of sports companies and media outlets alike must be willing to completely rethink how they approach their marketing.

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An Executive Guide to the Fall 2019 Issue

This guide to the Fall 2019 issue of MIT Sloan Management Review summarize the issue’s key articles. The articles discuss finding better ways to collaborate; how to give customers what they’re looking for; the organized ecosystem of Dark Web cybercrime; and how algorithms can reduce bias.

Collaborate Smarter, Not Harder

Feeling pressure to become more agile and “networked,” organizations tend to overwhelm employees with collaboration demands, putting a drag on performance and engagement. But through analytics, they can scale collaboration more effectively, improve collaborative design and execution, drive planned and emergent innovations through networks, streamline work by diagnosing and reducing collaborative overload, and engage talent by identifying social capital enablers.

Three People-Centered Design Principles for Deep Learning

As organizations begin adopting deep learning, leadership must ensure that artificial neural networks are accurate and precise to avoid negative impacts on business decisions that hurt customers, products, and services. A designed-centered approach helps address both these short-term concerns as well as the long-term concerns that machines might displace humans when it comes to business decision-making.

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