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When managers say they are data driven and ROI focused they are usually more intent on professing a belief than delivering results. They are, essentially, accidental theorists, putting their faith in an abstract idea rather than engaging in any true analysis of cause and effect. Despite what many will tell you, numbers can lie and only fools follow them blindly.

In this paper, we survey a number of different knowledge management strategies and a range of driving forces for knowledge management activities. We synthesise these using an extended version of an existing "KM spectrum"; apply a knowledge engineering approach to provide further guidance for the KM spectrum; and then describe a simple classification approach that links the driving forces to KM strategies, using a number of published heuristics. Finally, a case study is presented in which we apply our approach and discuss its usefulness.

Twitter has struck a chord among sufficient numbers that it needs corporate attention and policies. Employees need to understand its potential for misuse and corporations need to understand its potential value...

"When given the choice of whom to work with, people will pick one person over another for any number of reasons: the prestige of being associated with a star performer, for example, or the hope that spending time with a strategically placed superior will further their careers. But in most cases, people choose their work partners according to two criteria. One is competence at the job (Does Joe know what he's doing?). The other is likability (Is Joe enjoyable to work with?). Obviously, both things matter. Less obvious is how much they matter-and exactly how they matter."

he cigar-chomping reporter in the saggy brown suit with holes in his shoes and a nose for news is a stereotype that doesn't have much of a counterpart in today's real world. There's a new breed of investigative reporter in town: the geek who knows how to extract raw data from public sources, crunch the numbers, and spew out compelling analyses -- often with startling visuals to match.

n today's digital era, governments across the globe are amassing larger amounts of data than ever before. Some of this is structured data such as census records, phone numbers, addresses, and any information that can easily be entered into a database or spreadsheet. And some of it is unstructured data, or harder-to-analyze information such as emails, documents, web pages, photos, and videos.

Google doesn't rely on any one strategy, but deploys a number of them to create an intricate-but powerful-innovation ecosystem that seems to roll out innovations by the dozens.

In the US, the number of manufacturing jobs peaked in 1979 and has steadily decreased ever since. At the same time, manufacturing has steadily increased, with the US now producing more goods than any other country but China. Machines aren't just taking the place of humans on the assembly line. They're doing a better job.

We keep our data updated with the latest available numbers, up to 2012! Updated indicators include GDP per capita, fertility rates, among others! Dig in and enjoy the Gapminder World!

"Webex offer a number of interesteing free events using webex technology - working linking into..."

" interesting article looking at the impact on 'Getting Facebook ready for work' containing a number of useful links to other articles and blogs on the topic of social networking tools and their possible applications."

I set up this website in order to experiment with the emerging Semantic Web and Linked Data Web. I'm not really interested (at this stage) in creating a pretty website so please forgive the amateurish look of these pages. Maybe I'll change this with time, but for now I'm more interesting in what's going on under the bonnet and for now it's all about the RDF. These pages are best viewed in Firefox. To get the most from these pages there are a number of addons you can install to transform your web browswer into a semantic web browser: Semantic Radar - a simple plugin that detects semantic web technologies on a webpage Operator - lets you do cool stuff with microformats and RDFa Tabulator - a neat way to browse RDF and linked data on the semantic web OpenLink Data Explorer - another data browser for the semantic web Welcome, and enjoy... Feedback Diigo Web Highlighter (v1.6.2.4)  Highlight     Bookmark   Sticky Note Share Save Bookmark Url Title PrivateRead laterCache Description Tags Loading recommended tags... Add to a List Share to a Group Share my existing annotations

With the advent of Web 2.0, numerous social software applications allow people to publish and share information on the Internet. Two of these types of applications - collaborative workspaces and social network sites - have a number of features in common, which are explored to provide a basis for comparative analysis.

Over the next 15 years, 600 cities will account for more than 60 percent of global GDP growth. Which of them will contribute the largest number of children or elderly to the world's population? Which will see the fastest expansion of new entrants to the consuming middle classes? How will regional patterns of growth differ?

During this innovative event, World Bank explores an internal report about 'How the Bank learns' allowing the audience to vote in real time on the top topics they want to explore using 'Poll everywhere'. We will be using this tool at the Autumn workshop.The Bank shares some thought provoking ideas on 'fast and slow thinking' and where individuals look for knowledge (video -12.15-15.15) as well as allowing participants to vote on a number of provocative statements on a five point scale, to decide choose five topics for discussion with the panel e.g. 'Drink more coffee', 'Learning from failure' and 'Taking time to reflect' (Poll results 27.30 - 30.30). Culminating in the panel discussion on the chosen topic areas including 'live questions' as the discussion develops (Panel discussion 30.30 - 1:14:00).The session is wrapped up with a final vote on the whole event (1:21:00)

Finding useful knowledge nuggets amongst the torrents of data is a skill in itself. Creating insightful stories that bring the data to life is an emergent skill practiced by data journalists. An excellent article with lots of useful references for anyone who aspires to blend data analytics with storytelling.