Harvard Business

FEBRUARY 27, 2017

Meeting customers’ expectations for personalization and customization requires flexibility. In a study of nearly 250 manufacturers over a 10-year period (2005–2015), we found that 78% of firms had improved their ability to fill their total actual market demand but had lost control over costs.

Automotive 28

Automotive Operations Efficiency Tools 28

Harvard Business

JULY 13, 2017

Additionally, at first it was only applied to large, traditional organizations struggling, or experimenting, in an increasingly digital economy. Early transformation efforts were focused on initiatives: e-commerce, sensors/internet of things, applications, client and customer experience, and so on. Insight Center.

Culture 28

Culture Operations Data Talent 28

Harvard Business

FEBRUARY 8, 2018

The complex calculations of the field known as Operations Research were enabled by mainframe computing. That makes it imperative to start thinking about how management will be changed by the most impactful information technology of our time: cloud computing.

Change Management 43

Change Management Management Software Productivity 43

Harvard Business

JANUARY 24, 2018

Insight Center. Most companies are already moving rapidly to acquire new capabilities. In a new Accenture survey (titled Reworking the Revolution , which will be published on January 23 rd ) of 1,200 C-level executives worldwide, 75% say that they are currently accelerating investments in AI and other intelligent technologies.

Enterprise 28

Enterprise Accenture Research Productivity 28

Management Consulted

OCTOBER 3, 2012

For our final project, the class was broken into small groups and each group wrote a 40 page paper examining a thesis in an industry of their choosing. Although the court ruled in favor of Church and Dwight, we argued the opposite in our paper. What we didn’t expect was the diversity of responses! market for latex condoms.

Consulting 204

Consulting Case Interview Interviews Engineering 204

Harvard Business

NOVEMBER 20, 2018

AI is a transformative series of tools that can accelerate productivity, drive insight, and open up unexplored revenue streams. Most importantly, though, it demands an ultra-specialized talent pool that, according to latest reports, currently stands at only 22,000 PhD-level experts worldwide — a remarkably small pool.

How To 28

How To Research Intellectual Property Talent 28