So much knowledge not being applied Most organisations have a lot of documents and data floating around that hardly ever gets revisited or used. They all have research, reading, and relevant information collecting dust. Stuff that should be informing the decisions and strategies of the company. Some of it sits unread in a knowledge base or a wiki. Some of it lies in the drives of individual employees who don’t have a way to share it productively. So much knowledge not being applied! Except that’s not how we work as human beings. If you haven’t read it, experienced it, and contextualised it, then it isn’t knowledge to you. Knowledge is a quality that people possess, not documents, and the only way to transfer it from one place to another is for people at both ends to apply themselves and make it their own. Baldur Bjarnason, On online collaboration and our obligations as makers of software knowledgedocumentationwork
Dependence is more profitable than education A customer who pays—in advance—for service contracts is a more stable income source than a customer who has fully mastered a product's use. Customer dependence is more profitable than customer education. What I find truly baffling are manuals—hundreds of pages long—that accompany software applications, programming languages, and operating systems. Unmistakably, they signal both a contorted design that lacks clear concepts and an intent to hook customers. Niklaus Wirth, A Plea for Lean Software The design concept documentation
Data Farming A Research Paper onlinelibrary.wiley.com Miners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data. Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information. An information service society farmingdatasimulation