Jun 03rd, 2013
In recent years, few technological trends have gained greater excitement and interest than big data analytics. Big data, which is defined as information sets which are too large and varied for traditional analytics tools to adequately leverage, includes unstructured data, such as social media posts, photographs, videos and much more. Without big data analytics, all of this information is of limited value, as firms simply lacked the means of translating this data into useful insight.
The rise of big data analytics has been extremely sudden, to the point that these tools are widely seen as basic essentials for businesses of all sizes and industries. Those firms that fail to quickly adapt may struggle to keep pace with their more technologically savvy competitors.
However, in addition to the potential benefits it provides, the sudden embrace of big data analytics also carries significant challenges for companies. One of the most significant of these is ensuring that big data can be shared among the various personnel and departments within an organization easily and quickly. To this end, companies must invest in high-quality secure file transfer solutions.
Big data all around
The need for effective means of distributing big data is one of the most significant, yet overlooked, aspects of analytics. Without this element, firms will inevitably struggle to ensure that analytics can actually occur. After all, even the most advanced big data analytics solution is only effective if it has access to sufficient raw data.
Yet big data is rarely created or collected in the same place that the analytics will take place. On the contrary, most firms, particularly large ones, will collect and generate data from a huge range of sources and locations. Some of these will likely be on-premises while others will be in the cloud. In any case, the end result is that the firm must have a strategy in place for moving this data from one location to another.
Critically, these solutions must be quick-acting. As soon as it is created, big data begins to lose its value. The fresher the data that analytics system has access to, the more relevant and valuable the insight produced will be. Delays, however, will undermine these systems.
Just as importantly, firms must ensure that their big data resources are sufficiently protected at all times. This is particularly critical when it comes to sending and receiving big data sets, as information in motion is typically more vulnerable than stored data.
This is particularly true because cybercriminals are increasingly coming to appreciate the value inherent to big data. Rather than solely targeting firms for immediate financial gains, these malicious individuals and organizations are now beginning to focus on acquiring big data which can then be sold or ransomed back to the victimized company.
Thwarting such efforts should be a focus of any company eager to make the most of big data analytics, and to this end, companies need to invest in high-end secure file transfer solutions that were specifically designed for big data needs. Legacy data migration tools are simply not capable of meeting the challenges presented by the size and scope of big data sets. As a result, those firms that rely on such solutions will be putting their corporate information at risk, as well as likely seeing diminished efficiency.
With a dedicated secure file transfer solution in place, a firm will be well-positioned to make the most of its big data resources without risking the integrity of these resources.