Storing IoT data indiscriminately in the long-run is wasteful and costly, and prevents organizations from easily finding what they need. By understanding how data flows through the organization, managers can keep what is valuable and get rid of what is not, reducing their costs and risks. Intelligent archiving technologies, such as content-based retention, can save organizations up to 70 percent in storage capacity and costs. This is especially valuable for highly regulated industries, such as healthcare and financial services, that must store data for seven or more years for compliance and quickly retrieve it when required.
2) Securely consolidate IoT data regardless of where it stored or where it comes from
Powerful smart devices and remote work environments allow anyone to always stay connected. Efficient IoT management starts with consolidating data stored by individual users in their devices, backing it up and putting in controls for secure access. Redundant copies can be deleted through deduplication. In January 2015, CommVault launched Simpana for Endpoint Data Protection, a new solution that effectively helps organizations protect and enable mobile workforces by efficiently backing up laptops, desktops and mobile devices, providing secure access and self-service capabilities. This new functionality empowers organizations to reduce cost and risk by protecting against data loss, while enabling enterprise-wide compliance and eDiscovery. As a result, productivity is increased across the enterprise through self-service capabilities for data restore, secure file sharing, and advanced data analytics and reporting.
3) Offer new ways to access information, be productive and add value
Once an organization's data has been consolidated from servers, laptops, mobile devices and remote offices, the IoT can offer new ways to be more productive. Content indexing enables IT, legal and business units to search across the enterprise using granular keywords. New access methods, through file sync and mobile apps, allow employees to create personal data clouds and quickly find, view and use documents across all their devices.
The focus on IoT also confirms the need for more advanced analytics than the ones currently available. In fact, according to IDC, the big data and analytics market will reach $125 billion worldwide in 2015. In addition, cloud computing opportunities will multiply as the IoT becomes more widespread. Applications, which drive the functionality of sensors and other mobile devices, will increasingly be hosted and developed in the cloud, while the analytics of vast amounts of data will also be performed more and more in the cloud. Over the next five years, spending on cloud-based big data and analytics (BDA) solutions will grow three times faster than spending for on-premise solutions, resulting in hybrid on/off-premise deployments becoming a requirement.
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