Harvard Business Review

NOVEMBER 23, 2016

The internet has dramatically changed the way companies operate. Harnessing the power of machine learning and other technologies. The lessons to date on driving digitization and robotics suggest operating on a dual track. Automation will transform not just production, but operating models. Insight Center.

Early Adopters 8

Early Adopters Short-term Long-term Compliance 8

Harvard Business Review

SEPTEMBER 27, 2017

Fast-growing consumer products companies such as Warby Parker, Glossier, and Dollar Shave Club are upending the traditional retail model, which depends on a manufacturer selling to a retailer that then sells to the end consumer. .” Give Employees Direct Access to Consumers.

P&L 12

P&L Agility Fashion Media 12

Harvard Business Review

MAY 20, 2013

And in a departure from attitudes five or 10 years ago, most employees care more about ensuring that the business operations themselves are sustainable than they do about philanthropic activities, as shown in this chart. Articulating a "nobler mission" for a company is a big motivator for employees and a powerful weapon in the war for talent.

Metrics 9

Metrics Chemicals Simon Energy 9

Harvard Business Review

JANUARY 27, 2017

At some of the world’s most successful enterprises — Google, Netflix, Amazon, Alibaba, Facebook — autonomous algorithms, not talented managers, increasingly get the last word. Elite MBAs (Management by Algorithm) are the new normal. CEOs need to clarify when talented humans must defer to algorithmic judgment.

Outsourcing 8

Outsourcing Software CAPEX Competitive Advantage 8

Harvard Business Review

DECEMBER 8, 2015

Companies want to attract and retain talented people who really dig into their work. But most employers ignore two of the most powerful tools for making that happen. And there’s WinCo , a grocery retailer based in Boise, Idaho, with 14,000 employees and 86 stores spread across eight western states.

ESOP 8

ESOP Open-book Norton Loyalty 8

Harvard Business Review

MARCH 27, 2015

Now that everything we do at work can be observed, measured, tracked, and reported — thanks to sensing technologies and cheap processing power — more organizations are relying heavily on “the data” to manage employees’ performance. Talent management Leading teams Collaboration Data Transparency'

Sports 8

Sports Metrics Retail CRM 8

Harvard Business Review

NOVEMBER 22, 2016

Harnessing the power of machine learning and other technologies. They manage each other, they take responsibility for actions, and they understand the dynamics of working relationships in a way that an algorithm simply can’t (at least for the foreseeable future). Insight Center. The Next Analytics Age. Sponsored by SAS.

Technology 8

Technology Education Analysis McKinsey 8