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The Agile Model comes to Management, Learning, and Human Resources [17Sep11] - 0 views

  • This agile model (which is now well known in Silicon Valley and in the software engineering world) has transformed software.  It has many benefits:  it reduces the long cycle times that create risk; it enables engineers to take advantage of the fact that requirements change quickly; and it honors the fact that people perform best when they work on small projects they can finish quickly.
  • Agile is also built on the understanding that people learn in small chunks - so while it may in fact take a year or two to build a highly complex website, no person needs to try to understand the entire engineering program in advance.  And as the image on the right shows, daily work becomes a part of a bigger project in a continuous, dynamic process.
  • Look at where Agile fits in Management and HR:
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  • Traditional annual performance appraisals use an older "waterfall" method - continuous feedback and recognition is an "agile" approach.
  • Traditional formal training and certification is a "waterfall" model -  rapid e-learning and informal learning is an "agile" approach.
  • Top down cascading goals are a "waterfall" approach - rapidly updated "objectives and key results" (sometimes called OKR - widely used at Google) is an "agile" model.
  • Traditional annual rewards and bonuses are a "waterfall" model - continuous recognition and social recognition systems are an "agile" model.
  • The annual employee engagement survey is a "waterfall" model - continuous online idea factories and open blogs are an "agile" model for employee engagement.
  • The annual development planning process is a "waterfall" model - an ongoing coaching relationship is an "agile" model for leadership.
  • The traditional recruiting process is a "waterfall" model - this is being replaced by a continuous process of social recruiting and referral-based recruiting which can be rolled out in a few hours.
  • Consider what has happened to the corporate training industry.  While formal education and training has not disappeared, today people want to learn "on the job" through informal and social networks on a real-time basis.  This is a form of "agile learning"
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Reframing Flexwork for the New Economy [21Jul10] - 0 views

  • Judith Cherry, Head of Research and Insight at the UK-based organization Opportunity Now and author of the report “Out of Office: Solutions for an Agile Future” [PDF] explained, “We’re moving the debate away from flexwork – because we’ve come to the understanding that we’re all flex workers. What we’re doing now is “Agile working.”
  • The distinction is important, she said, because agile working is about more than working from home, or using mobile devices. It’s a whole new system of management.
  • She explained, “Technology allows us to work after hours, across time zones, at home, at the airport – we can manage this, so how come it is so hard to let people work three days out of the week? The psychology of work has not caught up with the technology.”
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  • Agile working means “rethink[ing] the way we work. It means shifting focus from individuals and jobs to tasks and teams,” Cherry added.
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How CIOs Misunderestimate Social Media - 0 views

  • Why should a CIO care? I have long said that the real source of competitive advantage in the future will stem from an organization’s ability to rapidly assemble, disassemble, and reassemble high-performance teams. Collaboration and community will replace rigid structures. Facilitating that kind of agility is the real promise of social media. And we’re missing it.Read more at www.enterpriseefficiency.com 
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There's no such thing as big data - O'Reilly Radar [09Aug11] - 0 views

  • “You know,” said a good friend of mine last week, “there’s really no such thing as big data.” I sighed a bit inside. In the past few years, cloud computing critics have said similar things: that clouds are nothing new, that they’re just mainframes, that they’re just painting old technologies with a cloud brush to help sales. I’m wary of this sort of techno-Luddism. But this person is sharp, and not usually prone to verbal linkbait, so I dug deeper.
  • And this was his point about big data: that given how much traditional companies put it to work, it might as well not exist. Companies have countless ways they might use the treasure troves of data they have on us. Yet all of this data lies buried, sitting in silos. It seldom sees the light of day.
  • Small, agile startups disrupt entire industries because they look at traditional problems with a new perspective. They’re fearless, because they have less to lose. But big, entrenched incumbents should still be able to compete, because they have massive amounts of data about their customers, their products, their employees, and their competitors. They fail because often they just don’t know how to ask the right questions.
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  • In a recent study, McKinsey found that by 2018, the U.S. will face a shortage of 1.5 million managers who are fluent in data-based decision making. It’s a lesson not lost on leading business schools: several of them are introducing business courses in analytics.
  • This is what we’re hoping to explore at Strata JumpStart in New York next month. Rather than taking a vertical look at a particular industry, we’re looking at the basics of business administration through a big data lens. We'll be looking at apply big data to HR, strategic planning, risk management, competitive analysis, supply chain management, and so on. In a world flooded by too much data and too many answers, tomorrow's business leaders need to learn how to ask the right questions.
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Connect the nation (2) [20Sep11] - 0 views

  • Linking the data together is proving to be one of the sticking points for the Internet of things, according to Maurizio Pilu, lead technologist at the UK government’s Technology Strategy Board (TSB). The TSB recently held an over-subscribed workshop to discuss the possibilities and challenges facing the ‘Internet of things’. “The feeling was that applications and services that could make money, and that could change our lives, are not emerging fast enough,” explains Pilu. “And one of the main reasons is that data produced by ‘things’ is not interoperable, due to the fragmentation of the industry.”
  • Maurizio Pilu believes the UK has three strong advantages when it comes to the Internet of things. “We have world-class communications technology research base; we are strong at data analytics; and we are an early adopter of technologies like this,” he says.
  • “But there is one big disadvantage,” he says. “This stuff costs money, and like other countries, the UK is going through a period of cautious investment decisions.”
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  • However, Pilu also remarks that China’s approach to the technology is different. “They see this as a big IT system which they install in a given city, with a huge control room where you can see everything,” he says. “That’s a very expensive approach, and it’s also very rigid.” “In the UK however, these big ticket investments are out of the question, so we have to be agile, work together, form relationships, prototype projects and fail quickly.”
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