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Data Management
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Businesses collect and store important data on a daily basis anywhere from their customers’ personal information to private financial information. Data privacy is about defining what personal information you should and shouldn’t ask for (or gather) from your users.
Data security is what you do with the data you’ve gathered from your users — where you store the data, whether or not you encrypt it, who has access to it, and how you determine who is an authorized user. Naturally, there is significant overlap between these two characteristics, but it is crucial to understand the nuances and how they fit into sound data management. Data security and privacy for businesses does not have to be an overwhelming endeavour. By taking the proper precautions, you can enable your organization’s security team to proactively manage potential data security risks and quickly remediate any existing risks.
It has been said in the past few years that data is now more valuable than oil due to the knowledge that can be gained from it. The costs associated with implementing proper data privacy and security are certainly worth the investment compared with the costs if there is a breach. Between data getting in the wrong hands and trust your clients have in you, the importance of proper security cannot be overstated.
Concerns about personal data protection are in the spotlight all over the world. In recent years more comprehensive data privacy laws have been enacted or proposed including theCCPA, the European Union’s GDPR, Canada’s PIPEDA, Brazil’s LGPD, andAustralia’s Notifiable Data Breach Scheme. Some key principles of data privacy compliance include but are not limited to: accountability, accuracy, integrity and confidentiality, and storage limitation.
A recent small business survey from CNBC shows that a majority of America’s small business owners are not worried about being the victim of a cyberattack. What’s more, small businesses are confident that if they suffered a hack, they would be able to respond to it. It’s critical to have a formal cybersecurity response plan in place, because in today’s landscape, you cannot afford to lose customers’ trust.
Artificial Intelligence vs Data Science vs Machine Learning
Data management
Artificial Intelligence vs Data Science vs Machine Learning
Data management
Artificial Intelligence vs Data Science vs Machine Learning
Data management
Artificial Intelligence vs Data Science vs Machine Learning
Data management
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