Business Transformation Requires Transformational Leaders

Leadership and teaming skills are front and center in times of rapid change. Meet today’s constant disruption head on with expert guidance in leadership, business strategy, transformation, and innovation. Whether the disruption du jour is a digitally-driven upending of traditional business models, the pandemic-driven end to business as usual, or the change-driven challenge of staffing that meets your transformation plans—you’ll be prepared with cutting edge techniques and expert knowledge that enable strategic leadership.

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Business intelligence does not refer to a product you can buy or to an application you can build. Instead, it is a new way of delivering and managing the decision support function in an organization.

The late management theorist Peter Drucker once said that everyone in an organization has to ask him or herself, "What information do I need to do my job? How am I going to get it, and from whom? And how do I know that it is true?" Furthermore, each person must also ask, "What information am I responsible for?

One of the biggest complaints leveled at Hadoop is that it is intended mainly for batch processing and doesn't do real time very well.

When done well, IT's role is easy to explain. IT serves the business by enabling its current goals and strategic ambitions while enlarging its plate of future opportunities. In effect, business and IT are an ecosystem.

The corporate world is littered with the carcasses of enterprises, large and small, wounded -- some mortally -- by failures of the "Siamese twins" of leadership and risk management. Why are these two concepts referred to as "Siamese twins"? Because neither can function without the other.

[From the Editor: This week's Cutter IT Advisor is from Cutter Fellow Robert N. Charette and Brian Hagen's introduction to the July 2012 issue of Cutter IT Journal, "Fixing ERM: From IT Security to Human Behavior" (Vol. 25, No. 7). Learn more about Cutter IT Journal.]

The avalanche of digital data that has resulted in Big Data storage and analytics is leading to additional issues as data volumes continue to grow in volume, variety, and velocity. A critical issue for the enterprise is how to maintain control of these immense pools of structured and unstructured data.

In this issue, we depart from our usual Executive Report format to bring you multiple viewpoints on a contentious topic: whether agile has transitioned from being an upstart methodology adopted in innovative organizations to being the methodology of choice for the “early majority” of Geoffrey Moore’s chasm. Have organizations indeed “crossed the chasm” in viewing agile as mainstream and in adopting it?