What Management 2.0 Looks Like - Polly LaBarre. Data, data everywhere. WHEN the Sloan Digital Sky Survey started work in 2000, its telescope in New Mexico collected more data in its first few weeks than had been amassed in the entire history of astronomy. Now, a decade later, its archive contains a whopping 140 terabytes of information. A successor, the Large Synoptic Survey Telescope, due to come on stream in Chile in 2016, will acquire that quantity of data every five days. Such astronomical amounts of information can be found closer to Earth too. Wal-Mart, a retail giant, handles more than 1m customer transactions every hour, feeding databases estimated at more than 2.5 petabytes—the equivalent of 167 times the books in America's Library of Congress (see article for an explanation of how data are quantified).
Facebook, a social-networking website, is home to 40 billion photos. All these examples tell the same story: that the world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. Dross into gold. Information Overload: The Promise and Problems of Big Data. (1) Kavinay Kishor's answer to What are the most incomprehensible inefficiencies of modern life. Building An Enterprise Software Company That Doesn’t Suck. Editor’s note: Guest author Aaron Levie is the founder and CEO of Box.net Thomas Wailgum, an editor at CIO.com, summed up the enterprise software industry best when he wrote, “It might appear that even tobacco companies enjoy a better level of overall ‘likeability’ than do enterprise software vendors.”
The way successful enterprise software companies have historically operated has been more or less uncontested: licensing costs increase at regular intervals, technology is difficult to integrate, and the user experience is often atrocious. Unlike most other open markets, which force out negative behaviors over time, many of the practices in place today serve the vendor and customer asymmetrically. Amazingly, more than 40% of IT projects still fail to deliver the expected business ROI, yet enterprise vendors come out winning regardless. But not for long. Creating amazing products, not amazing RFP responses So how do new entrants avoid this cycle all together?
This too is changing. 4 Reasons Why Email Overload Is Your Own Fault [OPINION] Drowning in personal information overflow | Isto Huvila. Swedish media, including the daily newspaper Dagens Nyheter, reported today about a study on information searching in daily work. The study was conducted by YouGov for Canon Sweden. According to the findings, almost half of the interviewed (1075 people) estimated that they use at least 10 hours a month for searching information.
One fourth said that they use one hour a day, that is 20 hours a month. According to an average costs for an hour of work, this may cost up to 80 000 kronas or almost 9000 euros a month for an organisation for only one employee. I would be inclined to agree with Christoffer Blohm from Canon Sweden who commented the results in DN by stating that according to his own experience, the figures are higher in reality. It is not surprised that a large document management systems supplier sees the problem in the use of legacy technology and poor exploitation of existing digitised information resources. Are there any "Enterprise Search" tools for companies that have their data in the cloud. What are the main differences between the enterprise search problem and the web search problem.