Sunday Links

Links for June 3 2012

Technology Consultant - Eric D. Brown | Image for link posts
  • When I Won’t Give Away What I Know by Ambder Naslund on Brass Tack Thinking

    Quote: The “how” of what I do what I do is my secret sauce, my championship BBQ rub, my individual recipe for problem solving. That’s what makes me valuable to my clients and that’s what I’ve developed the ability to get paid for. My “how” is comprised of years of experience, lots of trial and even more error, hard work, failures, feedback, more work, and lots and lots of road miles putting this stuff into practice for the better part of 15 years.

  • IT, BT, whatever, does it matter ? on Oh I See (CIO Inverted)

    Quote: Does it matter what the function is called ? Do semantics make a difference ? Will the reality be different for the involved stakeholders depending on the nomenclature ? How much does the name contribute to reality and success ? Can an IT department transform itself with a new name ? Is a change required with every changing technology trend and business evolution (would you like to be called Chief Cloud Officer) ? I am not proposing going back to the historical EDP, but IT today represents to a large extent the sum of the parts that make us.

  • Noise and Signal — Nassim Taleb on Farnam Street

    Quote: When consuming information, we strive for more signal and less noise. Intuitively we feel like the more information we consume the more signal we receive. While this is probably true on an absolute basis, Nassim Taleb argues in this excerpt from his forthcoming book, Antifragile, that it is not true on a relative basis. He contends that as you consume more data, and the ratio of noise to signal increases, the less you know what’s going on and the more inadvertent trouble you are likely to cause.

  • Break the Bad Data Habit by Thomas C. Redman on Harvard Business Review

    Quote: There are two interesting moments in the lifetime of a piece of data: the moment it is created and the moment it is used. Quality, the degree to which the data is fit-for-use, is judged at the moment of use. If it meets the needs at that moment, it is judged of “high-quality.” And conversely. The whole point of data quality management is to connect those moments in time — to ensure that the moment of creation is designed and managed to create data correctly, so everything goes well at the moment of use.

  • How to Stop Sucking and Be Awesome Instead by Jeff Attwood on Coding Horror

    Quote: Mostly, I think it’s the fear that gets us, in all its forms. Fear of not achieving. Fear of not keeping up. Fear of looking dumb. Fear of being inadequate. Fear of being exposed. Fear of failure. The only thing preventing us from being awesome is our own fear of sucking.

  • IT is overrated and underdelivers by Cliff Saran on

    Quote: The report stated, however, that across the overall sourcing lifecycle, IT still has control in most firms, “with the business exerting its highest level of influence in gathering requirements and selecting suppliers”.


About Eric D. Brown, D.Sc.

Eric D. Brown, D.Sc. is a data scientist, technology consultant and entrepreneur with an interest in using data and technology to solve problems. When not building cool things, Eric can be found outside with his camera(s) taking photographs of landscapes, nature and wildlife.
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