Harvard Business Review

JUNE 18, 2013

million more data-savvy managers to take advantage of all the data we generate. Managers do not need to become quant jocks. As a manager, it''s not your job to crunch the numbers; but — as Jinho Kim and I discuss in more detail in Keeping Up with the Quants — it is your job to communicate them.

McKinsey 9

McKinsey Press Release Information Technology Analysis 9

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.

How To 8

How To Competitive Intelligence Information Technology McKinsey 8

Harvard Business Review

OCTOBER 6, 2014

But maybe the thrill of accomplishment in these pockets is diverting senior managers’ attention from another, even more critical opportunity: Digital technologies are also rapidly changing how managers can acquire and assess the information they use to develop and execute on enterprise-wide strategy.

Strategy 9

Strategy Scenario Planning Scientific Management Supply Chain 9

Harvard Business Review

AUGUST 22, 2012

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. The future of customer management means individually optimized touchpoints, and CI pros are already halfway to the finish line.

Company 14

Company Business Intelligence CRM Marketing 14

Harvard Business Review

JANUARY 31, 2017

An operating model defines how your organization delivers the value promised by its business model. In combination, business and operating models define and rank the range of options available to operating managers in making their daily business decisions. billion gigabytes of data the company captures each day.

Company 8

Company Operations Human Capital Business Model 8

Harvard Business Review

SEPTEMBER 13, 2012

As Tom Davenport and DJ Patil note in their October Harvard Business Review article on the rise of the data scientist, the advent of the big data era means that analyzing large, messy, unstructured data is going to increasingly form part of everyone's work. They must know how to construct intelligent hypotheses.

Skills 16

Skills Pharmaceuticals Sample Business Intelligence 16

Harvard Business Review

JUNE 18, 2013

Recent allegations of the theft of top-security information connected to the development of sophisticated weapons and air defense systems have only heightened concerns about the security of the nation''s networks. The first focuses on the concept of enhanced public/private information sharing and developing standards.

Cooper 8

Cooper CIO Risk Management Telecommunications 8

Harvard Business Review

JUNE 22, 2017

Some technologies from a decade ago are still in broad use, and I’ll describe them here too. There has been even more stability in analytical leadership, change management, and culture, and in many cases those remain the toughest problems to address. But we’re here to talk about technology.

Open-book 8

Open-book Software Supply Chain Technology 8

Harvard Business Review

MARCH 19, 2015

Artificial Intelligence ( AI ) is an idea that has oscillated through many hype cycles over many years, as scientists and sci-fi visionaries have declared the imminent arrival of thinking machines. Tom Davenport: “I initially thought that AI and machine learning would be great for augmenting the productivity of human quants.

Venture Capitalist 8

Venture Capitalist EVA Travel Technology 8

Harvard Business Review

OCTOBER 9, 2012

If you're a senior manager launching a Big Data initiative, you should start by asking three simple, high-level questions to guide your organization's data collection strategy. How accessible and usable do we want our data products to be? Today, data can be integrated directly into products in ways never before possible.

Competitive Advantage 8

Competitive Advantage Retail Comparison Business Intelligence 8

Harvard Business Review

MAY 19, 2014

Companies are vacuuming up data to make better decisions about everything from product development and advertising to hiring. But most importantly, they must capture something your business cares about. Data can come from all manner of sources, including customer surveys, business intelligence software, and third party research.

Management 14

Management Metrics Information Technology Analysis 14

Harvard Business Review

JULY 25, 2013

But too many organizations are stretching their Chief Information Officers (CIO) too thin. CIOs are being tasked with managing internal business systems, cloud-based services, big data innovation, data security, and the 24x7 needs of global customers who access company data on personal devices. Exploit IT for Strategic Benefit.

CIO 8

CIO CFO Chief Information Officer Business Intelligence 8

Harvard Business Review

FEBRUARY 6, 2018

In addition, its broad distribution network aimed at same-day delivery in many markets (through Amazon Flex , its “Uber for delivery” service) may also make the immediate delivery of certain prescriptions along with one’s groceries or other products a reality. So where is the link to health care? Data analytics.

Health Care 9

Health Care Retail Operations Insurance 9