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
    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
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 5 Tips for Protecting Your Data Assets More Effectively
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Quality > 5 Tips for Protecting Your Data Assets More Effectively
Data Quality

5 Tips for Protecting Your Data Assets More Effectively

keithrbr
keithrbr
5 Min Read
SHARE

The issue of data protection has long been an important one for enterprises of all sizes and in virtually every industry but its significance only seems to increase with every passing day. Indeed, there barely seems to be a week that goes by without one company or another having to make humble apologies for losing customer data or having their systems compromised and the consequences can be stark.

The issue of data protection has long been an important one for enterprises of all sizes and in virtually every industry but its significance only seems to increase with every passing day. Indeed, there barely seems to be a week that goes by without one company or another having to make humble apologies for losing customer data or having their systems compromised and the consequences can be stark.

Regardless of what you’re company has to protect, it is becoming increasingly vital that effective means of securing them are effectively established. So here’s a look at how to get it right.

1 – Prioritise the issue

More Read

Big Data Without Integration Is Broken
Dancing With Dirty Data Thanks to SAP Visual Intelligence
Data quality tools do not solve data quality problems
The Tooth Fairy of Data Quality
Niche Data Tactics to Take Your Business to the Next Level

It is crucial for key figures within a given organisation to not just discuss issues around data security but also to take proactive steps to improve relevant policies and practices that are in place. Whether it is in the context of an IT department or at executive levels, the issue needs to be prioritised at every turn and should not routinely be addressed from the perspective of responding affect the fact.  

2 – Understand what your data assets are

If your organisation only realises what its key data assets are when it’s too late then you will have a real problem to contend with. It is clearly much more preferable to identify precisely what data assets your company has and to protect them as robustly and determinedly as possible. The first port of call of course should be any information that could be deemed sensitive or which might conceivable be of use to cyber criminals of any kind.

3 – Learn about what you’re up against

You may never be able to think precisely as a cyber criminal might but there is always scope for a company to think laterally and gain a sense of how hackers might look to steal or compromise your data. This isn’t perhaps ever likely to be 100 per cent effective because criminals will always look for the element of surprise but the more avenues to your data that you can successful shut off the better protected your business will be.

4 – Communicate issues with employees

Negligent behaviour on the part of company employees is a major cause of data breaches at enterprises on any scale. It is very easy for mistakes to be made and for information to be rendered vulnerable as a result so it is important for key issues in this context to be highlighted on a regular basis. The key is to encourage members of a given workforce to adopt habits that make data breaches less rather than more likely and awareness is inevitably a key part of that equation. 

5 – Be ready to react

Actions taken after data has been compromised in any way can have a significant bearing on how matters unfold and how much damage is done as a result. Companies and particularly their IT experts need to be ready at all times to react to and deal with such issues as they arise. There is no way to guarantee that all data breaches can be protected against but a robust contingency plan can go a long way towards ensuring the ramifications are minimised.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data migration risk prevention
Best Approach to Risk Management for Data Migration in Data-Driven Businesses
Big Data Data Management Exclusive Risk Management
AI in branding
How Data Analytics and Data Mining Strengthen Brand Identity Services
Big Data Exclusive
Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

BI Advice for Midsize Organizations: Keep It Simple

5 Min Read

Once Upon a Time in the Data

10 Min Read
data quality and quantity in artificial intelligence
Artificial IntelligenceBig DataData QualityExclusiveMachine Learning

What To Know About The Impact of Data Quality and Quantity In AI

8 Min Read

The Good Data

3 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?