Big Data


“Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data” (IBM, undated)




What is Big Data? Christopher Barnatt explains the characteristics, technologies and opportunities of Big Data





Below is a worldwide revenue breakdown of the top Big Data pure-play vendors for 2011.



Below is a breakdown of market share among the pure-play segment of the Big Data market.



The usage and benefit of big data analytic in various industries:

Financial Services•Detect fraudulent behavior
•Perform clickstream analysis with data mining model
•Customer analytics
•Spot trading patterns (eg. Share market)

Business•360 ° view on customers behavior
•Analyze stock-keeping unit (SKU)s  to determine optimal prices in pursuing profit maximization
•Harness customer data for business insights in decision making for strategies such as mergers and acquisition, retention, promotional offers and so on

Transportation (Supply Chain)•Increasing efficiency in logistics optimization
•Spot inefficiency (eg. Traffic congestion)

Healthcare/Life Sciences•Record medical data via text analytics (ensure proper treatment actions to be made)
•Genomic analytics for rapid genome sequencing
•Nanotechnology development

Telecommunications•Call detail record processing
•Customer profile monetization

Energy and Utilities•Smart meter analytics
•Asset management

Digital Media•Real-time ad targeting
•Website analysis

Retail•Omni-channel marketing
•Click-stream analysis
•Maintain customers’ brand loyalty by generating retail coupons at the point of sale based on the customer's current and past purchases, ensuring a higher redemption rate.

Law Enforcement•Real-time multimodal surveillance
•Cyber security detection

•Agriculture
•Estimate weather changes
• In agriculture, for example, ploughs would get sensors that would send little bits of information to a central system (over satellite). Every couple of feet these sensors would measure what’s in the ground (minerals for example), how humid the ground is etc. Based on that, large agriculture companies would then be able to make better decisions on where to grow which crop.- http://www.amplidata.com/?p=1052






What can you do with big data?




Besides that, it is no longer costly to adopt big data technology as it is the current trend of many advanced 

leading IT companies. Thanks to vendors such as Tresata, 1010data and ClickFox, Big-data-as-a-service is 

already developing rapidly with the latest Cloud-based Big Data applications and services as small and medium 

enterprises that lack internal Big Data expertise can now take advantage of Big Data processing and analytic 

capabilities without needing to manage and deploy on-premise hardware or software.


Blogs and websites about Big Data you won't want to miss reading:



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