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Do You Have the Will for Digital Transformation?

Research shows that successful digital transformation does not require secret digital knowledge; it simply requires the boldness to recognize that digital transformation is occurring and to begin trying to adapt your business to account for and capitalize on these trends.

Free Video Panel: Creating a Data-Driven Enterprise: Real-Life Cases

In a video panel and Q&A, MIT SMR editors discuss key insights from a recently completed series of in-depth case studies on how prominent organizations are using data and analytics to transform their operations. They review Intermountain Healthcare, GE, Nedbank, and the City of Amsterdam’s efforts to become more data driven. This set of diverse organizations offers a unique perspective on the challenges and opportunities associated with becoming a data-driven organization.

A Bank On the Edge of a Deep River

South African finance leader Nedbank is using data and analytics as a way to help the bank’s clients better understand their business. And the more data-oriented the bank becomes, the better able it will be to turn its developing prowess on itself. As the bank dives deeper into analytics, the same data it’s using for clients can help Nedbank better understand its own organization, employees, suppliers, and more.

Taking a Value-Chain Perspective on Innovation

Market leaders have many advantages when adopting new technologies such as e-business, but they don’t always make the move. Why? It’s partly because new technology can be leveraged along a chain of related companies only if business partners also make the leap to adopt these changes. And research reveals that when large companies are significantly concerned about customer adjustment costs of new innovations, these powerful and otherwise highly capable organizations often resist change.

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Customer Relationships Get the Data Treatment

A case study by MIT Sloan Management Review, “A Data-Driven Approach to Customer Relationships,” details how the South African bank Nedbank is using its rich access to a trove of transactional data from credit card use — from the time of transactions and size of purchases to retailer locations, and even specific details like the age, gender, race, marital status, and income bracket of some users — to help merchants make strategic decisions to better serve those customers.

Free Webinar: Platform Strategy and the Internet of Things

IoT, a “worldwide platform of platforms,” offers power for companies who can capture its value. Watch as Professor Marshall Van Alstyne, author of Platform Revolution, offers insights on how platform strategy and IoT combine to produce value for all players in the ecosystem, using his research and real-life examples. Learn what what platform strategy is and how companies are using IoT to advance their platform strategies

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Do You Have a Conversational Interface?

  • Read Time: 5 min 

AI-driven interactions between customers and brands will soon be occurring more often. Messaging platforms such as Facebook Messenger and Slack will combine with AI to make sense of text — both conversational and written — and offer services in real time. Companies can prepare for this shift by choosing a platform, running experiments, and begin introducing AI to their customers today.

Why It Pays to Be Where the IT Talent Already Is

As demand for big data technologies grows, so does the problem of finding sufficient skills. Result: Talent shortages could limit the rate of productivity growth. Research shows that labor-market factors have shaped early returns on investment in big data technologies such as Hadoop, a framework for distributed processing of large data sets. It turns out that when know-how is scarce, organizations that invest in new IT or R&D derive significant benefits from the related investments of other organizations.

A Fresh Take on Supply Chain Innovation

  • Read Time: 5 min 

For PepsiCo, entering the natural beverage markets of coconut water and smoothies meant developing new risk-management practices. In the coconut water business, “lead times are longer and supply is more variable than in PepsiCo’s traditional beverage supply chain,” write Tim Rowell of PepsiCo and James B. Rice Jr. of the MIT Center for Transportation & Logistics. “The company has had to build enough inventory to minimize stock outs — without causing excessive losses through obsolescence.”

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Achieving Trust Through Data Ethics

Eight out of 10 executives surveyed say that as the business value of data grows, the risks their companies face from improper handling of data increase exponentially. While digital advancements enable new opportunities for businesses to compete and thrive, they also create increased exposure to systemic risks. Success in the digital age will require a new kind of ethical review around how companies gather and use data.

Paul Michelman on the Launch of MIT SMR’s Frontiers Initiative

In a video interview, MIT SMR editor in chief Paul Michelman explains the impetus behind the launch of the publication’s Frontiers initiative and the value he hopes it will hold for readers. Michelman explains the genesis of the Frontiers idea, the nature of the essayists selected for the program, and why it’s important for MIT SMR to launch this initiative now. He also discusses the themes that emerged from the essays, including the changing nature of the man-machine collegial relationship.

Showing 41-60 of 899