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Upper Mismanagement | The New Republic
he process by which most enterprise software is developed is fatally flawed. There are flaws in any software development process, but in the past 13 years I’ve seen one approach produce more bad software and blow more budgets than any other: requirements-driven software development. Thankfully, I’ve also had the opportunity to see the success of an alternative type of process, a process in which user experience design drives what gets developed. This type of process helps teams deliver good software on time and within their budgets.
wandereye's UX Bookmarks on Delicious
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he process by which most enterprise software is developed is fatally flawed. There are flaws in any software development process, but in the past 13 years I’ve seen one approach produce more bad software and blow more budgets than any other: requirements-driven software development. Thankfully, I’ve also had the opportunity to see the success of an alternative type of process, a process in which user experience design drives what gets developed.wandereye's humor Bookmarks on Delicious
Data mining is the art of extracting useful patterns from large bodies of data; finding seams of actionable knowledge in the raw ore of information. The rapid growth of computerized data, and the computer power available to analyze it, creates great opportunities for data mining in business, medicine, science, government, etc. The aim of this course is to help you take advantage of these opportunities in a responsible way. After taking the class, when you're faced with a new problem, you should be able to (1) select appropriate methods, and justify their choice, (2) use and program statistical software to implement them, and (3) critically evaluate the results and communicate them to colleagues in business, science, etc.
wandereye's toread Bookmarks on Delicious
Previously I’ve covered what I dubbed Search 3.0 , how search engines have evolved toward blending vertical or specialized results into “regular” web listings. Today, the step beyond that: Search 4.0, how personal, social and human-edited data can be used to refine search results. The Search Evolution So Far

