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A Data Scientist Advice to Business Schools


To remain relevant business school graduates must learn to speak to Data Scientists, whose domain expertise is playing a vital role in an organization's ability to compete in today's market.



By Sean McClure (ThoughtWorks).

I assist enterprises by driving data-driven approaches into their operations, developing market-aware products that learn from data, and encouraging data-smart cultures among the c-suite of executives. I have had the privilege to work with many talented professionals looking to disrupt their industries while remaining true to their organization's values. As you might expect, many of these professionals hail from business schools that have prepared them to work with the variety of domain experts that exist within a company.

The expectation on any business graduate is that they possess an ability to strike a middle language between the priorities of a business and the deep domain knowledge of a company's experts. They should carry that 'generalist's touch' and be able to synthesize myriad high-level approaches into real-world utility for their organization.

To produce graduates like this a business school must find ways to teach the general high-level approaches used by domain experts across a company's departments. Graduates should have an understanding of how an expert's deep expertise in their field adds value to the overall strategic direction of the company. Only then can value-producing conversations and disruptive ideation exist between the business graduate and the domain expert. Middle Language Up until recently this has been straightforward in business schools since the traditional departments have fairly obvious overlaps with business operation. For example, an organization's marketing department contains domain experts in communicating the value of the company's product or service to its customers. Finance has experts in managing the financial functions of the business. Public relations have experts in maintaining the public view of the organization, while IT ensures systems, databases and software are operating as expected.

For many years, striking the middle language between these specialist concerns and a generalist's high-level understanding of them has allowed business schools to produce graduates who can help their employer answer to market demands.

But something is changing. The market isn't what it used to be. Virtually every industry is being touched by a new currency, and no business is immune. It's called data, and it is connecting people and process in new and disruptive ways.

Because of this, there is an undercurrent of concern flowing throughout business schools. To remain relevant their graduates must learn to speak to a new professional whose domain expertise is playing a vital role in an organization's ability to compete in today's market. Someone whose background is anything but traditional in the world of business. They are called Data Scientists. Professionals who have spent their careers learning how to convert raw data into real-world value by applying advanced scientific methods to data. As is the case with every other domain expert within a company, a middle language must be developed between the graduates of business schools and these domain experts. Graduate and Data Scientist

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