Harvard Business Review

AUGUST 29, 2012

That's why the shipping giant formed the Channel Strategy and Orchestration team in 2008: to solve the problems that occur when customers move from one channel to another, like going from a website to a phone agent. Companies typically appoint a chief customer officer (CCO) to drive change that needs to cut across channels and business units.

Big Data 16

Big Data Strategy Strategy Data 16

Harvard Business Review

DECEMBER 6, 2013

First, briefly, back to November 2008. million below its January 2008 all-time peak. That’s actually not as big a gap as I expected, but it does fit the oft-decried model of better-paid fields losing ground to worse-paid ones. Still, not every tale of changing fortunes in the workplace has such a discouraging ending.

Big Data 15

Big Data Industry Tips Software 15

Harvard Business Review

DECEMBER 8, 2015

In the wake of the 2008 financial crisis, U.S. “For the military,” Petraeus observed, “learning faster than the enemy meant deploying lessons learned teams and ensuring commanders are focused on identifying the need to make changes to our big ideas, campaign plans, organizational structures, equipment, and operational bases.”

Exercises 14

Exercises Culture Training Learning 14

Harvard Business Review

MARCH 3, 2015

Since 2008, according to a McKinsey study , companies have devoted more time and money to social networks and 20% less to e-mail communications. Technology changes fast — remember MySpace and Friendster? — but consumer behavior changes more slowly. But changing or dismantling the goal posts is a different story.

Technical Review 14

Technical Review Survey Marketing Data 14

Harvard Business Review

AUGUST 5, 2015

So any effective sales model must adapt to changing buying protocols, not ignore or resist them. This is a big transition for firms whose marketing, sales-training and enablement tools, and wider organizational processes reflect outdated assumptions about purchasing in their markets. Choices are often false.

Technical Review 15

Technical Review Marketing Big Data LEAN 15

Harvard Business Review

OCTOBER 29, 2014

Changes in a company’s churn rate could be a signal that something is working well (if the number goes down) or needs addressing (if the number goes up). But sophisticated, data-rich firms are also starting to look at the number on an individual customer level. What are our customers doing that’s contributing to their leaving?

Software 14

Software Marketing Analysis Tools 14

Harvard Business Review

FEBRUARY 2, 2015

Spun out of Carnegie Mellon’s materials science research department in 2008, Aquion now employs 130 workers, manufacturing batteries to store electricity generated by intermittent renewable resources. This is the kind of technology—and the type of firm—that will make renewable energy more efficient and more cost-effective.

Industry 12

Industry Training Competition Entrepreneurship 12

Harvard Business Review

AUGUST 4, 2014

Lafley launches a “game changer” profoundly different than what he championed in his eponymous 2008 bestseller. To wit, cultures celebrating 80/20 innovation in product and process make different choices and investments than those celebrating “breakthrough” — dare I say “game changing”? innovation. Just ask Walmart. Lafley 2.0

Big Data 9

Big Data Data Culture Strategy 9

Harvard Business Review

MARCH 4, 2014

The number will be further revised in the coming months, and may be subject to alteration years, even decades later, as final bits of data get assimilated and as methods of assessing the nation’s output change over time. It is itself a product of man-made numbers and statistics, and its contours change and morph.

Disruption 9

Disruption Big Data Report Industry 9

Harvard Business Review

NOVEMBER 2, 2018

After the 2008 financial crisis, business schools hastened to add ethics courses. You can’t be of two minds or change your mind. Big data begets small minds. Fifty years later, on the eve of globalization, Drucker was still arguing that management is less like a science and more like a liberal art. It humanizes him.

Technology 15

Technology Conference Tips Culture 15

Harvard Business Review

JULY 12, 2017

We identified many hotspots around the world where these changes are happening rapidly and other spots where momentum has slowed. While much has changed even since 2015, there are roadblocks on the journey that have remained surprisingly resilient. Digital technologies are poised to change the future of work.

Competition 8

Competition Artificial Inteligence Policies Technology 8

Innovation Excellence

MAY 4, 2020

So, if we are the only creatures on the globe who are gifted with the power of imagination, will Covid-19 impair our ability to change, as we are mastering so well the skill to stand by? Changing behaviors is probably the hardest thing to do. Everybody can make it big time, by launching their own start-up. We are all unicorns.

Technical Review 56

Technical Review Project Big Data Change 56

Harvard Business Review

OCTOBER 4, 2012

Big data, it has been said, is making science obsolete. No longer do we need theories of genetics or linguistics or sociology, Wired editor Chris Anderson wrote in a manifesto four years ago : "With enough data, the numbers speak for themselves.". It's a process that uses data to refine our thinking. More >>.

Data 19

Data Big Data Policies Conference 19

Harvard Business Review

OCTOBER 4, 2012

Big data, it has been said, is making science obsolete. No longer do we need theories of genetics or linguistics or sociology, Wired editor Chris Anderson wrote in a manifesto four years ago : "With enough data, the numbers speak for themselves.". It's a process that uses data to refine our thinking. More >>.

Data 12

Data Big Data Policies Conference 12

Harvard Business Review

OCTOBER 29, 2012

Which demographic segments are most susceptible to changing their minds and their votes ? What represents a better predictive statistical model for a prognosticating pollster: a 35% representation of Democrats that faithfully reflect the 2008 presidential election proportions? Do they reflect probabilistic "best practice"?

Survey 16

Survey Technical Review Data Case Study 16