Business Intelligence Information Technology Operations Productivity 
Strategy Driven
NOVEMBER 24, 2010
Posted by Thornton May on November 24, 2010 · Leave a Comment The classic Harvard Business School case “Otisline (A)” 1 begins with the quote, “… our objective is to go unnoticed.” In the elevator business, you can be hugely successful and highly profitable by going unnoticed. Click here to cancel reply.
Harvard Business Review
AUGUST 21, 2013
In order to see the future more clearly, it''s almost always helpful to look back — and this certainly goes for IT and its ever-increasing impact on operations, and ultimately on competitive advantage. Information Technology Changes the Way You Compete" was a trailblazing HBR article by Warren McFarlan back in the early 1980s.
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Harvard Business Review
JANUARY 31, 2017
It’s created new business and social networks, resulted in new ecosystems, and transformed our economy. While some have invested significantly in technology, operational, and cultural changes, others are lagging behind. Other financial and operating indicators showed similar disparities. for leaders and 3.2%
Harvard Business Review
JUNE 26, 2013
Carr predicted that an organization''s ability to compete through investing in information technology was about to change dramatically. The IT boom of the 1980s and early ''90s had brought information technology to the corporate masses, unleashing the first full-scale technology revolution in the enterprise.
Harvard Business Review
AUGUST 22, 2012
In his research, he reports that these individuals typically have extensive sales, marketing and operational backgrounds. I'm not suggesting that these folks need to run SPSS, or sit in front of a business intelligence tool all day. But they do understand the importance of data in addressing business questions.
Harvard Business Review
DECEMBER 4, 2013
Organizations succeed with analytics only when good data and insightful models are put to regular and productive use by business people in their decisions and their work. We don’t declare victory when a great model or application is developed – only when it’s being used to improve business performance and create new value.
Harvard Business Review
OCTOBER 6, 2014
Using machine-learning tools, for example, data that currently exists in different enterprise systems and diverse external sources (production, supply chain, market, customer trend, financial and economic data) can be ingested and mashed together to reveal meaningful patterns and highlight gaps in markets.
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