Saved by the data: Active archive leads the way in a mid-pandemic world

Whitepaper

Active Archive Alliance 2021 Annual Industry Report: Active archiving can help save money and efficiently access data wherever it resides.

May 28, 202112 mins
Saved by the Data: Active Archive Leads the Way in a Mid-Pandemic World

Active Archive Alliance 2021 Annual Industry Report: Active archiving can help save money and efficiently access data wherever it resides

As the world heads into 2021 and the post-COVID-19 digital economy, IT leaders will focus on cost, data analytics and security. Intelligent active archive solutions based on AI will classify massive amounts of data and automatically move it according to user-defined policy from expensive storage tiers to economy tiers. Archived data stays highly accessible and secure.

Containing the costs of rapidly growing unstructured data is critical, leading to mandatory active archiving. Companies recognize the increasing value of data and the need to store ever-increasing volumes for longer periods of time costeffectively. AI-based analytics automate file placement across multiple tiers and storage types including flash, hard disk, tape, and the cloud. Data stays immediately accessible for file sharing and business/research analytics to support competitive advantage. Intelligent data tiering and automation have major roles in managing unstructured data at petabyte scale now and exabyte scale in the next five years.

Data security is another critical priority in an era of escalating cybercrime and swelling data repositories. With businesses relying heavily on data collection, usage, distribution, and monetization, securing that data is crucial to protecting business objectives.

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Active Archive Alliance 2021 Annual Industry Report: Active archiving can help save money and efficiently access data wherever it resides

As the world heads into 2021 and the post-COVID-19 digital economy, IT leaders will focus on cost, data analytics and security. Intelligent active archive solutions based on AI will classify massive amounts of data and automatically move it according to user-defined policy from expensive storage tiers to economy tiers. Archived data stays highly accessible and secure.

Containing the costs of rapidly growing unstructured data is critical, leading to mandatory active archiving. Companies recognize the increasing value of data and the need to store ever-increasing volumes for longer periods of time costeffectively. AI-based analytics automate file placement across multiple tiers and storage types including flash, hard disk, tape, and the cloud. Data stays immediately accessible for file sharing and business/research analytics to support competitive advantage. Intelligent data tiering and automation have major roles in managing unstructured data at petabyte scale now and exabyte scale in the next five years.

Data security is another critical priority in an era of escalating cybercrime and swelling data repositories. With businesses relying heavily on data collection, usage, distribution, and monetization, securing that data is crucial to protecting business objectives.