To fix the business, to bring it back to health, you must assimilate enough of the disruptive innovation to modernize the operating model without jettisoning your business model. This typically requires new leaders and definitely requires new (if temporary) rules. The CEO is the only person who can dictate the correct terms in a timely manner and maintain the enterprise's commitment to those terms for the duration of the rehabilitation effort.

Systems are corporate funded mechanisms for increasing efficiency; programs are user funded mechanisms for increasing effectiveness. Programs should generally be charged back to users, systems should never be. Allocating corporate overhead to the operating units is simply a mistake.

Sustaining innovation is the lifeblood of any enterprise. It is the time when we capitalize upon, and recover from, all the disruptive change prior. Most of the operating profits in the world come from sustaining innovation. Much of the market capitalization gains, on the other hand, come from disruptive innovations.

When you are incubating new ideas, "Don't put all your eggs in one basket" is very good advice. But when you are seeking to transform your enterprise's portfolio by scaling a fledgling business to material size - say ten percent of total enterprise revenue - then it is imperative that you make that the singular focus of everyone in the enterprise for the two to three year period it is likely to require to reach its tipping point. Expecting to do two such scaling efforts in parallel is simply folly, yet that is what the "eggs/basket" idea is often used to justify.

The single greatest business opportunity that is now emerging in the global marketplace is the ability to analyze digital log data to trace digital actions and from those traces to develop algorithms that can predict future outcomes with greater accuracy.

The biggest problem is typically overly ambitious expectations combined with undercapitalization.

A technology becomes truly disruptive when it drives the marginal cost of something that used to be scarce and expensive to approach zero. Thus, it used to be to deploy software at scale, you had to fund a data center, buy a set of servers, storage, and networking gear, build an in-house IT management capability, and buy an expensive stack of enabling software before you could even get started. Now you can get all that from Amazon or Microsoft on a pay-as-you-grow model.