Interview

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At This Education Nonprofit, A Is for Analytics

Christopher House is a Chicago-based education nonprofit that prepares children and families from low-income households for success in life, in school and the workplace. Over the last 10 years, says CEO Lori Baas, the organization has focused on high-quality infant school, pre-school, early childhood education, elementary school, afterschool, and parent school programs, college and career readiness, and a commitment to using data at every step in every program along that continuum of education. In 2013, Christopher House opened an elementary school to expand the continuum of learning. Christopher House has an agency-wide database system to track student outcomes — data that’s used to assess programs and make program improvements.

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Innovating with Airborne Analytics

Hong Kong’s premier airline is using a blend of data and know-how to guide its daily operations. In an interview with MIT Sloan Management Review, Cathay Pacific CIO Joe Locandro describes how the airline uses analytics to make decisions that balance data with what it knows from the field. “Analytics will give you statistical spreads, but you still need to have this thing called experience and insight,” he says.

Image courtesy of Steelcase Inc.

The Workplace of the Future

Thanks to technology, business is evolving into an office-less enterprise that’s more mobile and fluid than the “desk jobs” of the past. In a Q&A, Steelcase vice president of Strategy, Research and New Business Innovation Sara Armbruster explains how Steelcase is approaching the challenge as a supplier, changing how they conceptualize the physical environs of the workplace. “In our view, technology is actually a form of culture, a manifestation of our culture and what we value,” she says.

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General Mills Builds Up Big Data to Answer Big Questions

General Mills brought a data scientist into its Consumer Insights group because it wanted to use its existing data more effectively. The company thought it was making decisions based too much on outside data at the expense of what it knew. But figuring out what the company actually knew about its consumers was the challenge facing Wayde Fleener as he came on board. In an interview with MIT SMR’s Michael Fitzgerald, Fleener talks about how he got started in building a Big Data practice within his division.

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Coca-Cola’s Unique Challenge: Turning 250 Datasets Into One

At The Coca-Cola Company, one of the big challenges is how to understand customers who are a long pipeline away in the inherently intermediated world of hundreds of Coke bottlers. That means moving toward newer technologies to do more forward-looking analytics versus backward-looking analytics, says the company’s Remco Brouwer and Mathew Chacko.

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Sustainability Reporting As a Tool for Better Risk Management

GRI is an international organization based in Amsterdam with offices around the world. It produces a set of standards used by organizations in over 90 countries and has become the global standard-setter for sustainability reporting. But as the organization’s Chief Executive, Michael Meehan, explains, sustainability reporting is not about writing a report; it’s the process by which organizations identify their risks related to important issues, like human rights, the environment, labor and other social issues.

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Are You Part of the Email Problem?

Over-reliance on email as a communication tool is sapping people of their time and energy. Author, speaker and consultant Phil Simon says there are better ways — and many new and better tools — to do things. "As consumers, it’s never been easier. Hundreds of millions of us use Dropbox, Facebook, Snapchat, texting, Skype, and other tools to communicate with each other," says Simon. "Why do we resist change at work?" Embracing new tools, he argues, will result in better communication and far less wasted time.

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‘People Analytics’ Through Super-Charged ID Badges

The data points employees generate about everything from how often they interrupt others to how many people they sit with at lunch tell surprisingly useful stories. Ben Waber, CEO and co-founder of Humanyze, describes how his company is providing the tools and analytics to interpret this social data, helping businesses identify the best collaborative practices of their most effective people.

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Are You Ready For the Certainty of the Unknown?

The skill set for both companies and individuals of the future will be to embrace impermanence and continual reconfiguring, according to Benn Konsynski, a professor of information systems at Emory University. He says both organizations and employees need to prepare for the “the remix era” and “the certainty of unknown.” He sees “improvisation” as a personal and enterprise necessity in the 21st century.

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Analytics in E Major

The Echo Nest, a self-described “music intelligence” company recently acquired by Spotify, uses machine-learning technology to connect people with music. “At our core,” says CEO Jim Lucchese, “what we’re trying to do is what a great deejay does, or the friend that you rely on musically: to better understand who you are as a fan.” In a Q&A, Lucchese describes how the company merges machine learning and cultural analytics to describe music in an analytics-friendly way and help users find new music they’ll enjoy.

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Remaking a Company for the Digital Natives

At USAA, the financial services group, social business is helping the company productively engage both its 26,000 employees as well as its customer base. Renee Horne, the vice president of social business for USAA, says that’s just part of the larger opportunity to make social tools a more holistic and integral part of the company.

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Gone Fishing — For Data

When you’re dealing with data on the massive scale that a company like GE uses, a data warehouse just isn’t big enough to house it all. And organizing it ahead of analysis is more of a burden than a help. GE’s CIO Vince Campisi explains to MIT Sloan Management Review why his company is now storing data in a data lake — and how that approach changes the kind of human resources his company is looking for.

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How to Hire Data-Driven Leaders

For recruiters, the technological developments of the past 3 years have been transformational, says Tuck Rickards of Russell Reynolds. With the transformation of business to a more real-time, connected, data-driven focus, the type of talent companies seek — even the type of organizational structure they’re building — has undergone a quantum shift. But the changes aren’t yet done: “The next five years are huge for companies to reorient themselves from a leadership and team perspective,” warns Rickards.

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Video: Building Capabilities for Digital Transformation

  • Interview

In a video panel the authors of Leading Digital discuss how large companies in traditional industries—from finance to manufacturing to pharmaceuticals—are using digital technologies to gain strategic advantage. They talk about what it takes to become a “digital master,” and offer examples from Asian Paints, Caesars Entertainment, Nike, and others. And they explain where to invest in digital capabilities, and how to lead the transformation.

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Sports Analytics: The NFL Connects with Fans

In a conversation with MIT Sloan Management Review, Michelle McKenna-Doyle, the NFL's senior vice president and first-ever CIO, discusses the organization’s customer-focused approach to big data and analytics. She explains how the NFL works to make its employees comfortable with their own data sets.

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Image courtesy of Flickr user worldwaterweek.

To Conserve Water for Agriculture, a Solution from the Desert

Both economic and climate change have brought increasing concerns about agriculture — particularly with respect to water. Farmers worldwide are beginning to explore ways to stretch what may become an increasingly limited resource. In a Q&A, Netafim’s chief sustainability officer Naty Barak explains how his company’s origins in arid-zone agriculture became a springboard to a wider market for agricultural producers to maximize water efficiency, and how the company’s partnerships with NGOs brings the technology to small farmers in the developing world.

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Is Your Organization Ready for the Impending Flood of Data?

Hal Varian, chief economist at Google and emeritus professor at UC Berkeley, has been with Google for more than a decade and has unique insight into the past and future of data analytics. In a conversation with MIT Sloan Management Review guest editor Sam Ransbotham, Varian says that companies need to beef up their systems to function within an overwhelming data flow — including new voice-command system data and other computer-mediated transactions.

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The Unexpected Payoffs of Employee “Eavesdropping”

In an experiment with social media, researchers uncovered an interesting and unexpected outcome. When employees were asked if using an internal social network had helped them learn about coworkers’ skills, they all said “No” — yet their ability to identify coworkers who could help in collaborative projects had skyrocketed (as had their performance). How was this possible? The answer: employees had acquired information so incrementally, they were unaware that they’d learned something of value.

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Can You Really Let Employees Loose on Social Media?

At Mitel, a $1.2 billion communications technology company, employees tweet about the company and are proactive on LinkedIn with only one rule: “Use your best judgment at all times.” There are no other rules. Martyn Etherington, the company’s chief marketing officer and chief of staff, has no problem with that. “We have to enable the majority and not hold them back by implementing catch-all policies that are aimed at a few.”

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At Amadeus, Finding Data Science Talent Is Just the Beginning

Everyone wants to hire skilled data scientists — especially Spain’s Amadeus, a travel sector technology company. Amadeus has brought more than forty new hires into this post since 2013. But locating talent is just the beginning. In an interview with MIT Sloan Management Review, Amadeus’s Denis Arnaud describes the steps he takes to not only identify data science talent, but to make sure they integrate well into the company, too.

Showing 1-20 of 166