You might say I’m crazy to see any connection between some big IT deployments and typical responses to big natural disasters — but that’s what I see. It fits a recurring theme across many disciplines of big interventions versus smaller, more humane and often more effective effort.… Read the rest
The usual big-data story leaves out crucial bits. We hear about the “what” — big, huge data of all kinds. We hear about the “when” — now and coming soon. We hear about the “how” — Hadoop with helpers. But we almost never hear about the “who” and the “why.” Who’s bothering to analyze all this data, and why?… Read the rest
As if to renounce one more convention of business, a Berkeley-area businessperson I know couldn’t find data, so he went out and got some of his own. He had to evaluate market areas.
What if you could snap an iPad into your car’s dashboard to let the device listen to your car’s murmurs? Perhaps it could receive its maintenance-alert emails, the ones that let you know when it’s ready for an oil change or new seat covers.… Read the rest
One of the first things you learn about in business intelligence is ETL. Raw data gets harvested, washed and served. But Sandy Steier hadn’t heard.
Sandy had been busy analyzing data. For years on Wall Street, he pored over mortgage-backed securities with a tool he and peers developed for themselves.… Read the rest
Don’t say “cherry picking” to people at information-intensive businesses like banks, airlines, and telecommunications companies. You can spoil their lunch if a big customer has just run off to a competitor.
Mark Albala says he has a tool that will warn of such a move.… Read the rest