Taming the elephant
10 BIG DATA'TRENDS FOR 2013


Easy to configure, easy to use
The information strategy - still in formation
No longer will big data be the bastion of scientists — enterprises will look for technology solutions that can be easily configured based on user preferences, provide rich visualization dashboards for executives, and accessed on smartphones and tablets

Big data-of the people, by the people, for the people
While enterprises will be Inundatascrwith a hybrid big data dump, the need of the hour is to turn this into a flexible, manageable information ecosystem

Cloud-based and open source tools will help democratize big data to take it out of the realm of expensive resources and high-computing infrastructure — giving even smaller companies the ability to leverage big data for business insights
All roads lead to instant insight
Enterprises cannot afford to wait around for big data to be processed at its own time — they will need near-real-time results that match the speed of traditional business intelligence
Internet of things, 06, ,;4 meet big data
We are fast approaching an era where every device from a car to a fridge to a Kindle is connected to the Internet —and with the rollout of IPv6, big data is only going to get bigger

Big data and social computing -a match made in ether

Retail soothsaying and market
Trawling and processing the social web for social network analysis and content analytics will require a new kind of processing power, one that capitalizes on newer social avatars of data
crystal ball gazing ga
A smarter healthcare economy

Retailers will use big data to analyze social media and match this data against customers lists, transactions, and loyalty club memberships, in addition to predicting consumer patterns, market trends, and competitor initiatives
From process healthcare data available in the public domain to genetic data processing, big data will help analyze vast amounts of information that have been overlooked because of disparate systems and inadequate analytics tools
Information is at large, and so is fraud — but financial services enterprises will use big data to monitor large volumes of transactions and activity logs to zero in on credit card fraud and account takeovers, while insurers will leverage it to check for fraudulent claims by tracking social data and behavior


Cracking down on fraud in financial services and insurance
Fault tolerance and detection in manufacturing
Binding operational data with IT data will help create a unified system that can track machine performance, which will be especially useful for high-tech and automotive enterprises