The Ever Increasing Knowledge And The Attendant Risks: Safeguarding Your Data

 Knowledge is indeed increasing exponentially; statistics verify it. It is estimated that a week’s worth of reading the New York Times contains more information than a person would likely have come across in a lifetime in the eighteenth century. 


We live in the information age. According to the Geneva Association, at the end of 2009 the global data volume reached 800
exabytes. If that weren’t enough, in 2009 a company in Japan “successfully tested a fiber-optic cable” that pushed “14 trillion bits per second down a single strand of fiber. That’s 2,660 CDs or 210 million phone calls per second” (Daniel Kinnaman, District Administration, January 2009). 

This rate is currently tripling every six months and is expected to do so for the next 20 years. Such volume of data is highly valuable to medium scale businesses to large enterprises, to increase productivity and profitability through real time forecasting and monitoring of business as well as the market, promptly mitigating risks by optimizing complex decisions for unforeseen events and potential threats, unlocking the true potential of data driving marketing, providing tailor-made services, offers, promotions etc., to customers - to mention but a few.

However, one of the most easily forgotten but important aspect of the discussion on big data by enterprises, is the issue of protecting both the data and analytics processes from attacks, thefts and malicious activities, that could destroy them. Also, facing legal challenges or loss of customers' or users' loyalty, as a result of data exposure by bad actors, is something that business enterprises should definitely avoid.

#LevelFive Asia - a world leading provider of adaptive behavioral analytics technology for fraud and risk managements, is helping financial institutions and large enterprises tackle omni-channel fraud at scale through the use of disruptive technologies. Let's talk and you may discover just what you are looking for, to help your organization outsmart risks associated with big data.

#bigdata #analytics #statistics #marketing #technology #innovation #legal #finance #fintech #machinelearning #productivity

Pic. Credit: https://www.pngitem.com





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