Outstanding benefits with greater flexibility for midsized businesses
Organisations of all sizes are faced with a tidal wave of data coming from myriad new sources, including sensors, social media, mobile platforms and more. Data has become the new currency of business, their most critical asset. But organisations often spend too much money and time managing where their data is stored. The average firm purchases 24 percent more storage every year,² but uses less than half of the capacity it already has.³
To help maximise the benefits of growing amounts of data, many organisations are turning to software-defined storage, which frees data from physical storage and provides better access to applications. There are many ways to benefit from software-defined storage. One approach starts with data virtualisation, which provides a software layer that helps simplify management. Data virtualisation simplifies deployment of new applications and new storage tiers, eases movement of data among tiers and enables consistent easy-to-use optimisation technologies across multiple storage tiers.
In the era of cloud, big data and analytics, and mobile and social computing, organisations need to meet ever-changing demands for storage while also improving data economics. IT must deliver more services faster and more efficiently, enable real-time insight and support more customer interaction. The right infrastructure allows clients to share information, secure transactions and drive real-time insights.
Built with IBM Spectrum Virtualise software, the IBM Storwize family helps organisations achieve better data economics by supporting these new workloads that are critical to their success. Storwize family systems can handle the massive volumes of data from mobile and social applications, enable rapid and flexible cloud services deployments and deliver the performance and scalability needed to gain insights from the latest analytics technologies.
¹ IBM lab measurements – August 2010.
² TheInfoPro ‘Wave 17 Storage Study,’ 451 Research, October 2013.
³ IBM storage infrastructure optimisation studies – April 2014.