Are you on a doomed project? Do you really believe that spiffy SEI rating or the latest software engineering fad will save you from working long nights, missing deadlines, or having a nervous breakdown? We’ve got news for you: your project didn’t get that way by accident. It took a lot of careful planning.
Want to learn how it’s done? In this book we’ll teach you the basics of killing a project. Instead of forcing you to rummage through a bunch of dry software engineering texts to identify potentially damaging approaches, we’ll equip you with 77 tactics proven on countless projects. Even if you have no experience as a manager, we’ll guide you through the confusing maze of possible courses of action and teach you how to virtually guarantee the failure of your project—all under the guise of ensuring quality, improving productivity, and maintaining morale!
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Knowledge management is the suite of processes, methodologies and technologies we implement to encourage the capture and transfer of knowledge throughout our enterprise. Knowledge management is also the culture we create within our enterprise that encourages participation in knowledge exchange.
We can no longer sit back and wait for knowledge to come to us, or to expect innovation to just happen. “Proactive management” is the key phrase for knowledge and we need to build infrastructure to facilitate knowledge growth and to provide the mechanisms to collect, filter and disseminate knowledge.
Infrastructure for Knowledge Management is a book that bridges the gap between the new demands being placed upon management and the tools used by Information Technology specialists in their attempt to manage information. In this book we take a look at both the cultural components required as well as the technology we can use to support knowledge capture and transfer.
Before embarking on a career in information technology or following a technical certification path, you need to obtain the basic perspective required to build technical knowledge by way of observation and be able to solve problems at the source using that knowledge. Instead of continually digesting detail upon technical detail, discover how to obtain high-level perspective on the relationships and similarities between those and future details.
The analogies in Fundamentals of Computer Network Analysis and Engineering will help you build a foundation for quantitative and qualitative analysis. Erase the blackboard, grab the chalk, and prepare to map new territory.