Whatever the environment, new data management and analysis technology may be important, but success and sustainability will also be driven by how we manage it and by how successful we are in putting data users and their priorities into the driver’s seat.
Two risks are apparent for GE’s approach which may also be relevant to other industries where cloud-based analytical platforms are being developed and marketed. (I’m thinking here, for example, of medical devices, prescription medicine, and treatment costs.)
Anyone who practices project management for a living will recognize this list. It’s certainly not unique to big data analytics project. It is however reasonable to ask whether “big data” projects are unique in some way that exacerbates the probability of failure.
In NSA: The Decision Problem George Dyson lays out a credible historical view on why he thinks what Snowden revealed about the NSA and PRISM was inevitable. While it’s certainly a pleasure to read a discussion of these issues that is so thoughtful, I think he misses one major theme that helps us understand our current predicament over what to do about Snowden.