A way forward toward affordable, quality healthcare — Joseph Doyle

MIT Sloan Assoc. Prof. Joseph Doyle

MIT Sloan Assoc. Prof. Joseph Doyle

From The Hill

Most discussions about the state of the U.S. healthcare system start with the problem of unsustainable cost growth. One reason costs have been rising is that we (as a society and as consumers) find enormous value in health improvements and are willing to pay for them. The real question is how to identify value vs. waste in healthcare so we can increase efficiency to bring costs down.

Over the years, we’ve seen many attempts to revamp the healthcare system, but they have been insufficient to be transformative. A good example is the HMO model in the 80s and 90s, which was notorious for restricting access to care. During the healthcare reform debate, voters balked at the U.S. government coming anywhere near restraining spending on healthcare. Read More »

The rise of data-driven decision making is real but uneven — Kristina McElheran and Erik Brynjolfsson

Kristina McElheran, MIT Initiative on the Digital Economy Visiting Scholar

Kristina McElheran, MIT Initiative on the Digital Economy Visiting Scholar

 

 Professor of Information Technology, Director, The MIT Initiative on the Digital Economy


Professor of Information Technology,
Director, The MIT Initiative on the Digital Economy

From Harvard Business Review

Growing opportunities to collect and leverage digital information have led many managers to change how they make decisions – relying less on intuition and more on data. As Jim Barksdale, the former CEO of Netscape quipped, “If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” Following pathbreakers such as Caesar’s CEO Gary Loveman – who attributes his firm’s success to the use of databases and cutting-edge analytical tools – managers at many levels are now consuming data and analytical output in unprecedented ways.

This should come as no surprise. At their most fundamental level, all organizations can be thought of as “information processors” that rely on the technologies of hierarchy, specialization, and human perception to collect, disseminate, and act on insights. Therefore, it’s only natural that technologies delivering faster, cheaper, more accurate information create opportunities to re-invent the managerial machinery.

At the same time, large corporations are not always nimble creatures. How quickly are managers actually making the investments and process changes required to embrace decision-making practices rooted in objective data? And should all firms jump on this latest managerial bandwagon?

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You can prevent a ‘Panama Papers’ scandal at your law firm — Lou Shipley

MIT Sloan Lecturer Lou Shipley

MIT Sloan Lecturer Lou Shipley

From Huffington Post

The data breach at the law firm of Mossack Fonseca in Panama sent shock waves around the world recently with the prime minister of Iceland stepping aside, Swiss authorities raiding the headquarters of the Union of European Football Associations, and relatives of the president of China linked to offshore companies. The size of the breach was also shocking with 2.6 terabytes of data leaked. That’s 30 times bigger than the WikiLeaks release or the Edward Snowden materials. However, the most shocking part of the “Panama Papers” story is that the breach and exploit of the popular open source project Drupal was totally preventable.

Everyone knows that law firms manage large amounts of highly sensitive information. Whether the data involves an individual’s estate plan, a startup’s patent application, or a high-profile merger and acquisition, clients expect their information to be secure. Indeed, lawyers are required to keep this information both confidential and secure. Yet, despite the very high level of security owed this information, many firms lack an IT staff and outsource the creation and maintenance of their data management and security services. Once outsourced, there is an assumption that someone else will effectively manage the data and ensure its security.

This is many firms’ first mistake. Even if they aren’t managing their own IT, law firms still have an obligation to make sure that data is properly secured. This means asking frequent questions about security and ensuring that the vendor is implementing reasonable security measures.

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Twitter Chat de MIT Sloan Experts: #MITBigDataLatAm – Lee Ullmann y Jorge Hernán Peláez

Lee Ullmann, Director of the MIT Sloan Latin America Office Office of International Programs

Lee Ullmann, Director of the MIT Sloan Latin America Office
Office of International Programs

¿Cuál es la importancia de Big Data para Latinoamérica y cuál es su futuro en la región?

Únanse para una conversación entre Lee Ullmann (@MITSloanLatAm), director de la Oficina para América Latina de MIT Sloan, y Jorge Hernán Peláez (@jhpelaez), reportero colombiano para La W, en donde platicaremos sobre cómo los datos masivos pueden contribuir significativamente tanto a las empresas como a los gobiernos.

La plática por Twitter tendrá lugar el 11 de mayo desde las 3:00 hasta las 4:00 p.m. ET.

¿Cómo pueden participar? ¡Es sencillo! Si tienen una pregunta, respuesta o comentario, simplemente incluyan #MITBigDataLatAm en sus Tweets.

La conversación en Twitter es un precursor a la conferencia “Big Data: Shaping the Future of Latin America” (Big Data: Cómo dar forma al futuro de América latina), organizada por la escuela de negocios MIT Sloan el 26 de mayo en Bogotá, Colombia. La conferencia reunirá a profesores internacionalmente renombrados para discutir como se puede usar Big Data para formar decisiones mejor informadas.

En promoción de las ideas de la conferencia, tendremos una conversación en Twitter sobre el papel de Big Data para el futuro de Latinoamérica y más ideas de la conferencia.

Learning how to make a real difference with big data in Latin America – Lee Ullmann

Lee Ullmann, Director of the MIT Sloan Latin America Office Office of International Programs

Lee Ullmann, Director of the MIT Sloan Latin America Office
Office of International Programs

Big data is a popular buzz word these days. Companies are told they should harness the vast amount of data produced globally and it will lead to greater profitability and productivity. By using big data, they can reap benefits like producing better products and customization options. That’s all well and good, but it’s contingent on managers understanding how to use and analyze the data. How many can really do that across all industries?

A McKinsey Quarterly report in 2015 found that very few legacy companies have achieved “big impact” through big data. In the study, participants were asked what degree of revenue or cost improvement they had seen through use of big data. The answer was less than 1 percent for the majority of the respondents.

A big problem with big data is that, although everyone talks about it, most people don’t really know what to do to ensure that investing in it is a win-win proposition. To shed light on this issue, MIT Sloan is bringing its deep expertise to a May 26 conference in Bogotá, Colombia called, “Big Data: Shaping the Future of Latin America.” The presenters include faculty from across the MIT campus as well as the Department of National Planning in Colombia. With examples from their own research, they will share new and innovative ways to use big data to achieve specific goals.

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