We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 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
How to Stay Ahead of the Data Protection Curve in 2016
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
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. 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.

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.

More Read

How to Ensure Data Lakes Success
How to Ensure Data Lakes Success
Zombie Spreadsheets
How Data-Driven Businesses Choose Storage That Reduces Risk and Drag
Bigger Data, Better Intelligence for Government
Take a Little Bite Out of Big Data

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

Synthetic Data vs Real Web Data: Comparison, Limitations, and Collection Methods  -- AI-generated illustration
Synthetic Data vs Real Web Data: Comparison, Limitations, and Collection Methods 
Big Data Exclusive
Illustration of mobile analytics dashboards with ad performance charts connected to backend databases
11 Best Sisense Alternatives for Embedded Analytics
Business Intelligence Exclusive
Analyst points at colorful circular data dashboard on screen - information technology business metrics
How Fragmented Workplace Tech Undermines Reliable Business Metrics and Reporting
Cloud Computing Exclusive Infographic IT
Using Multi-Source Data and Analytics to Detect Operational Drift Across Franchise Networks -- AI-generated illustration
Using Multi-Source Data and Analytics to Detect Operational Drift Across Franchise Networks
Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

4 Steps To Getting Started With Big Data For Small Businesses
AnalyticsBig DataBusiness Intelligence

4 Steps To Getting Started With Big Data For Small Businesses

8 Min Read
Avoid Analytics Mistakes by Being Aware of Misinformation Visualization
AnalyticsBest PracticesBig DataData ManagementData VisualizationExclusive

Avoid Analytics Mistakes by Being Aware of Misinformation Visualization

7 Min Read
These Top 3 Email Metrics Tools Are Made Possible By Big Data Analytics
AnalyticsBig DataExclusive

These Top 3 Email Metrics Tools Are Made Possible By Big Data Analytics

7 Min Read
Envisioning Tourist Demand with Big Data
AnalyticsBig DataExclusive

Envisioning Tourist Demand with 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.

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?