SPECTRUMWISE - BLOG ARTICLES

 

Recent backup facts and trends businesses need to know

Modern businesses hold plenty of valuable information in their systems, from sensitive customer information to operational data. However, with the increasing reliance on technology comes a greater risk of data loss, whether due to employee errors or cyberattacks. This is why having a proper backup and data recovery procedure is indispensable, as it not only helps protect against data loss, but it also ensures business continuity in the face of unforeseen challenges. 

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Disaster recovery plan: Why it is important and how to create one

Today, business data is constantly at risk of potential breaches and other cyberthreats. This is why having a disaster recovery plan (DRP) is invaluable. It serves as a comprehensive guide for minimizing the impact of system disruptions and ensuring business continuity during an unprecedented crisis. 

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Data Privacy Day: 5 Tips for taking control of your digital footprint

Observed every January 28th, Data Privacy Day is an international initiative that aims to raise awareness and promote best practices for online privacy and protection. On this day, individuals and organizations are encouraged to review and enhance their privacy settings, bolster their security measures, and actively engage in discussions about the importance of protecting personal information online.

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New Year’s resolutions to make to prevent data loss

Beyond personal aspirations this 2024, it may be worth adding another resolution to your list: improving your business’s data security. With cybercrimes at an all-time high, keeping information safe and secure should be a priority among businesses and individuals alike. According to the 2022 Arcserve survey, 76% of respondents experienced severe data loss in their organization, with 45% of them losing data permanently. This highlights the importance of data protection measures.

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Trends and innovations shaping the data center landscape

Data is at the core of every business strategy, and its supporting infrastructure must continually adapt to the growing and increasingly advancing demands of the landscape. From the low latency of edge computing to the integration of artificial intelligence (AI) and machine learning (ML), traditional data centers are adopting new technologies to better meet consumer needs and ensure ongoing innovation.

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