A Few Words about Process Analytics | BUILDING DATUM. This post is part of the BIMForum Flash Blog! I recently gave a talk at BIMForum’s spring event in Boston, and I figured that is as good a reason as any to restart my efforts over here at buildingdatum. If you’re into seeing what I look like as I meander through a presentation, you can watch it here. And if you want to see me kicking it onstage with BIM legend Patrick MacLeamy, that’s right here. Otherwise… For those of you that follow me in other spaces, you’ll already know that I’m fond of describing the building lifecycle as a series of informational transactions. A project begins life as an idea, which could take the form of a sketch, a pro forma, a mission statement, or some otherwise clear enumeration of the owner’s goals for the building process.
In reality, things are a bit murkier. The social, technological, and legal constraints under which our industry operates all contribute to this fog of war. Like this: Like Loading... The New York Times - Breaking News, World News & Multimedia. How Burrowing Owls Lead To Vomiting Anarchists (Or SF’s Housing Crisis Explained) The Santa Clara Valley was some of the most valuable agricultural land in the entire world, but it was paved over to create today’s Silicon Valley. This was simply the result of bad planning and layers of leadership failure — nobody thinks farms literally needed to be destroyed to create the technology industry’s success. Today, the tech industry is apparently on track to destroy one of the world’s most valuable cultural treasures, San Francisco, by pushing out the diverse people who have helped create it. At least that’s the story you’ve read in hundreds of articles lately.
It doesn’t have to be this way. The alternative — inaction and self-absorption — very well could create the cynical elite paradise and middle-class dystopia that many fear. Here is a very long explainer. This is a complex problem, and I’m not going to distill it into young, rich tech douchebags-versus-helpless old ladies facing eviction. It does us all no justice. 1) First off, understand the math of the region. Why? Editorial Branded Standard Player. Eight (No, Nine!) Problems With Big Data. Photo BIG data is suddenly everywhere. Everyone seems to be collecting it, analyzing it, making money from it and celebrating (or fearing) its powers. Whether we’re talking about analyzing zillions of Google search queries to predict flu outbreaks, or zillions of phone records to detect signs of terrorist activity, or zillions of airline stats to find the best time to buy plane tickets, big data is on the case.
By combining the power of modern computing with the plentiful data of the digital era, it promises to solve virtually any problem — crime, public health, the evolution of grammar, the perils of dating — just by crunching the numbers. Or so its champions allege. Is big data really all it’s cracked up to be? The first thing to note is that although big data is very good at detecting correlations, especially subtle correlations that an analysis of smaller data sets might miss, it never tells us which correlations are meaningful. A sixth worry is the risk of too many correlations. Brainwallet: The Ultimate in Mobile Money. Backops Outsources Your Startup’s Back Office Using The Best Enterprise Apps, Raises $1.5M. Early-stage startups die if they don’t nail their core products quickly. But like all companies, they also need to process loads of paperwork required for basic operations, from crunching numbers in Quickbooks to churning out piles of human-resource forms for new hires.
So, as any startup executive knows, the balance between product development and rote paperwork is a constant frustration — which is where Backops comes in. The company, which has just closed a $1.5 million seed round, combines 15 or so modern business productivity tools with crowdsourced labor from stay-at-home workers. Startups get a simple dashboard that shows them what’s happening across the organization, from accounts received to job offers accepted. If the exec wants more detail than the dashboard’s accounting summaries and human resource statuses provides, they can request custom reports or data dumps from Backops. The first is the overall “consumerization of IT” trend. The biggest issue could be defensibility. Magic Quadrant for Business Intelligence Platforms. Www.sciencemag.org/content/334/6061/1413.full.pdf. The Sidney Awards, Part I.