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Alternative development processes such as Extreme Programming (XP), Crystal Methodologies, Scrum, and feature-driven development have received an increasing amount of attention and press over the
March 31, 2002 | Authored By: Peter Schuh
In this Cutter IT Journal article, seasoned agilist Scott Ambler points out that agile needs to become more enterprise aware and discusses an approach he calls "Disciplined Agile Delivery." Elements such as release and deployment should be integral parts of your agile vision and your daily activities. Keep a focus on the real business requirements not merely by developing software, but by providing a complete solution that can run stably in production. Not a member? Download your complimentary copy of this article when you complete our special offer form.
December 18, 2011 | Authored By: Scott Ambler
Through the Olympics project in Australia, there have been many opportunities to learn about project management, deliverables, teams, sourcing, and myriad other issues.
June 30, 2000 | Authored By: Geoff Dober
With the recent acceleration of the economic downfall of several industries, the business community is entering an untested playground mined with all sorts of unpredictable threats.
December 31, 2001 | Authored By: Eric Tanefo
Mobile, wearable devices support noninvasive, biometric monitoring. They are generating a wealth of data detailing important indicators of the user’s health, ranging from heart rate, respiration, and temperature to perspiration, gait, blood sugar levels, balance, grip, and more. Incorporation of data from sensor-enabled devices with other health and medical information adds a real-time capability to healthcare that has been lacking in all but the more complex medical device monitoring applications to date.
December 19, 2017 | Authored By: Curt Hall
In this Advisor, I highlight the need to understand the optimal granularity level in analytics to maximize business value. I also point to the need for business owners and strategists to incorporate context in analytics in a balanced manner in ascertaining the granularity levels. Granularity levels can vary dynamically depending on the needs of the business. Due consideration to such dynamicity ensures that time, cost, and corresponding use of resourcing in undertaking analytics are all utilized to provide maximum value to the business.
August 9, 2018 | Authored By: Bhuvan Unhelkar