Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How to Stay Ahead of the Data Protection Curve in 2016
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > How to Stay Ahead of the Data Protection Curve in 2016
Best PracticesBig DataData ManagementData QualityData Warehousing

How to Stay Ahead of the Data Protection Curve in 2016

Ryan Kh
Ryan Kh
5 Min Read
SHARE

2016 can be either your year for data security or for data theft. Some of that depends on luck. But much of your success or failure in this arena depends upon your preparedness and awareness of how data security is evolving. Security and theft are always stuck in a tug of war, an arms race which motivates both industries (and data theft most certainly is an industry) to alter and evolve their methods, to get a bigger piece of the pie than the other side has.

2016 can be either your year for data security or for data theft. Some of that depends on luck. But much of your success or failure in this arena depends upon your preparedness and awareness of how data security is evolving. Security and theft are always stuck in a tug of war, an arms race which motivates both industries (and data theft most certainly is an industry) to alter and evolve their methods, to get a bigger piece of the pie than the other side has. In 2016, there are a lot of subjects which data security people are discussing, and you should be aware of some of them in order to keep you and your data safe.

1)    Data growth rates double every two years. The IDC says that by 2020, there will be more than 44 ZBs of data in the world, ZB being a unit of measure that most people aren’t even familiar with. In this new and expanding frontier, your data will be tied up in certain key areas, which you should understand. Have disaster recovery plans in place for each place your data resides. At the same time, don’t be afraid of letting data reside in the hybrid cloud. In the coming years, hybrid cloud storage of data will be de rigeur for more than 90% of all companies. In making the jump, if you have not already done so, see that disaster recovery guarantees and proven methods are baked into any organization you work with.

2)    Spend time managing your personal and business data, but do it the smart way. A personal data removal service may be sufficient to prevent breaches and leaks, if you are a high- or mid-profile individual within one industry or another. Other data services can be used to find data leaks as soon as they occur, remedying the problems and restoring security to your data. In most situations, leaks can be entirely prevented.

More Read

Google Maps Transit System Layer
Top Ten Root Causes of Data Quality Problems: Part Three
#27: Here’s a thought…
Gartner Adds Big Data to Its 2011 Hype Cycle
Dealing with the Vast Variety of Big Data

3)    Continue focusing on a business model that works. If you have disaster recovery and business continuation plans enacted, chances are that you will deal with a data breach more effectively than other companies affected by the same security foible. If this is the case, the best defense is a good offense. Don’t become paranoid about security preparedness, if such preparations are outside of your control. Continue creating a business that is relevant and growing, with relation to the industry in which it exists (not the data theft industry which only runs parallel to it). You can’t stop the development of data theft, and one day you probably will lose revenue to it. But by making yourself an indispensable part of your industry, you can make recovery a lot easier somewhere down the road.

Data theft is inevitable on some level. But by insulating yourself properly, and by keeping track of growing industry trends, you can make sure that you won’t fall victim to the full scale difficulties that can emerge when your data is breached and stolen by an individual or organization.

TAGGED:big data analytics
Share This Article
Facebook Pinterest LinkedIn
Share
ByRyan Kh
Follow:
Ryan Kh is an experienced blogger, digital content & social marketer. Founder of Catalyst For Business and contributor to search giants like Yahoo Finance, MSN. He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship. Email: ryankh14@icloud.com

Follow us on Facebook

Latest News

How Data Analytics Is Reshaping Patient Financing Decisions
How Data Analytics Is Reshaping Patient Financing Decisions
Analytics Big Data Exclusive
AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

salesforce einstein analytics
AnalyticsBig DataExclusive

Deciphering Value Points Of Salesforce Einstein Analytics With Big Data

8 Min Read
top big data trends in 2022
AnalyticsBig DataExclusive

5 Current Trends in Big Data for 2022 and Beyond

5 Min Read
big data EU competition chief proposal
AnalyticsBig DataExclusive

Implications and Goals of EU Competition Chief’s Big Data Proposals

6 Min Read
big data analytics for trading data
AnalyticsBig DataExclusive

How Online Stock Trading is Being Impacted by Big Data

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?