Digital transformation has fundamentally changed how businesses create and deliver value to their customers. A significant percentage of all current IT projects are focused on developing new digital services and offerings to generate new revenues, and there’s more focus than ever on enhancing the customer experience.
Meanwhile, the volume of data that businesses manage continues to grow at pace. A significant driver is the exponential growth of IOT devices – expected to reach almost six billion this year, according to research firm Gartner.
Effectively leveraging the vast quantity of captured information is no longer the preserve of data-driven start-ups or radical new business models. Now businesses of all sizes can achieve greater efficiency, become more competitive, and reach new markets by harnessing the potential of the data they already have.
The value of data is skyrocketing
These trends mean that the value of data is skyrocketing. Historically, for any business, its most valuable data comprised the information it had most recently created: usually the latest documents or updates regularly accessed by end-users via business-critical applications. Over time, the value of this information would lessen, until it was eventually archived and no longer used to deliver immediate value.
Today, this “decay-with-time” model has been turned on its head. Much data generated today, for example from IOT sensors (which might deliver anything from images to video, or temperature readings), initially has little inherent value beyond the sensor’s primary tracking mission.
However, when these individual data streams are combined with data from multiple sources, from Point of Sale information to medical records, new operational insights are unlocked. Businesses can leverage these insights to create new business models or even monetize them directly by selling unique information to customers – thereby dramatically increasing the value of the data.
As enterprise data continues to expand, few businesses are taking a step back to consider how often they delete some of their data. Some deletions might be driven by legal or compliance guidelines, but the fact is that the importance and value of older data is increasing. A business needs to fully understand not only its data growth but also which files it is removing, to effectively futureproof its archive and storage environments.
Ultimately, being able to balance all tiers of data storage and service levels will determine just how fast and cost-effectively the business will be able to respond to the data demands it faces.
This data evolution is leading businesses to reevaluate existing storage and archiving environments. The traditional separation between new, active data and archived information no longer works in this new, more iterative process of data creation, processing, analysis, and sharing.
While simple and effective, the fundamental 3-2-1* rule for protecting business-critical data storage can be too general for some daily operations. To meet the more exacting requirements and SLAs of some data, a bronze-silver-gold classification is more effective to determine the number of copies required and how long they will be stored for.
At the same time, some data management challenges remain the same. Businesses still need to ensure that data is consistent and readily available to applications such as analytics or software development, while guaranteeing that it is adequately protected, resilient, and fully compliant with governmental and industry regulations.
* The 3-2-1 rule involves making three copies of your data, keeping these on at least two different storage technologies, and keeping one copy at an external site
Reshaping storage environments into “extended workbenches”
It’s time for businesses to rethink their data protection infrastructures to better fit today’s requirements. We recommend taking a more transparent and clearly defined approach – based more closely on a business’ actual data protection requirements. The actual balance of slow, medium, ultra-fast and hybrid storage will vary depending on these factors – but whatever the right balance, Fujitsu’s portfolio of data protection solutions make it easy to balance backup and archiving speed, capacity and cost, and represent a low cost of ownership compared to traditional multiple component solutions.
Fujitsu also deploys a proven methodology, backed by its co-creation philosophy, decades of system integration expertise and broad partner ecosystem to ensure that every business can transform into a data-driven enterprise. Discovery workshops with each customer truly uncover their true data baseline and reveal all data challenges and objectives. This allows Fujitsu’s experts to plan and deliver the most appropriate data architecture comprising the most effective combination of its own and partner solutions.
Are you ready to reshape your data protection? Watch our video below, or read our white paper: "Data Protection for the Digital World".