Are data scientists really necessary or should your average knowledge worker be able to perform big data analytics?
If your company's got a lot of customers and you offer them many different ways to interact with you, it's challenging to get a complete customer view because of the diverse systems and data sources at play.
How much productivity is lost because of the travel mishaps endured by your road warriors week in and week out? What is the financial cost of the stress and suffering inflicted by canceled flights, officious airline employee and lost luggage? At one time it may have been hard to quantify this expense, but that was before big data.
As a result of the flood of data generated by mobile devices and machine-to-machine communications, enterprises are struggling to keep up with data collection and analysis.
Alas, big data. Can it really do anything for you? To settle this debate once and for all, please welcome analytics wunderkind himself, Nate Silver.
Chicago has a problem with lost garbage carts, and city officials hope that predictive analytics will provide a solution.
For big data to be more than just an expensive exercise in chasing hype, companies must figure out how to glean useful insights about the world from their data, and then transform the insights into profit-making goods and services.
In a two-story building in Manhattan, baseball superfans are surrounded by 31 digital screens showing live feeds from every Major League Baseball stadium. With a dashboard of switches enabling access to just about any statistic one could dream up, this "Fan Cave" serves to connect MLB enthusiasts around the country.
Waste management is an ancient craft, but new data analytics technologies are breathing fresh air into it. A number of European companies in the sector are putting sensors on garbage cans to identify the best times and routes for trash pick-up, reports David Meyer at GigaOm .
Initial data volume from ocean samples can include up to 100 GB, but the load can expand beyond the terabyte level after processing and analysis, creating a hefty data management and storage challenge, explains JCVI database manager Michael Heaney.