As the amount of data continues to surge – largely a result of the pandemic – organisations must find ways to manage their data more cost-effectively and efficiently. Florian Malecki, Executive VP Marketing, Arcserve, offers some best practice advice as to how this can be achieved.
Storage costs continue to skyrocket as data creation rapidly increases and data management grows more complex due to the explosion in remote work. The average cost of storing a single TB of file data is now pegged at US$3,351 per year. And that’s just the beginning because storage is only one component of total costs. Organisations must also account for IT resources like the hardware, software and personnel required to manage and protect their data.
Every business is becoming more and more digitalised, generating vast amounts of data from product videos, social media posts, customer transactions and data from IoT devices. IDC predicts that the volume of unstructured data worldwide will grow from 33 zettabytes in 2018 to 175 zettabytes (that’s 175 billion terabytes) by 2025, an annual growth rate of 61%.
Companies are drowning in data, mainly due to the widespread belief that the worst thing you can do is delete any data. It is understandable because you never know which innocent piece of data today might suddenly become hugely important tomorrow.
Understandable, yes. But is it feasible? Today’s IT decision-makers are confronted with the challenge of balancing the surge in their data volume with spiralling costs — while simultaneously trying to maintain data resilience.
The good news is that some solutions and approaches help IT departments reduce costs while still managing and protecting company data and ensuring Business Continuity in the face of any unexpected event. Here are three ways organisations can manage their data more cost-effectively.
1: Explore data tiering
All data is not created equal and is not equally valuable. If your goal is to save money, storing or backing up every scrap of data in your organisation is probably unnecessary. There is a lot of redundant data that does not need to be preserved long-term, such as system images or replaceable data.
You should seek out storage solutions that provide capabilities like data tiering. This enables you to move the data you use less often to less-expensive storage levels. It also reduces storage costs while safeguarding your most valuable data.
With data tiering, you can confidently preserve and backup your essential data and spend less on storing the data you deem less important. A further upside of data tiering is energy efficiency — and lower electricity bills — because you’ll be devoting less compute power to storage.
2: Have a solid plan for data growth
When organisations invest in storage solutions, they don’t know how much storage they’ll need three, five, or 10 years later. If they don’t invest enough, they’ll have to go through the evaluation and budgeting process more often than necessary, which can be time-consuming and costly in and of itself. On the other hand, they could be overpaying when they don’t need to if they purchase too much storage. Keep in mind that, as your business changes, the type of data you’re storing changes, as do the technologies in the market.
The option to purchase storage up front at a reasonable price and then scale it out cost-effectively over time is critical. Instead of jumping in headfirst and paying an arm and a leg, look for storage solutions that start at a reasonable cost and are highly scalable. These solutions should begin with terabytes of storage and scale out to petabytes. The right solution will allow you to add any number of drives and/or nodes in any granularity to meet your growing storage requirements.
3: AI-enabled storage helps control costs
The advent of AI-enabled storage is helping organisations keep costs down while managing their data more effectively. How? AI-enabled storage applies intelligence and Machine Learning to help companies quickly figure out which pieces of data are critical to their business and which are less important and may not need to be stored.
AI-enabled storage can also help companies decide which datasets can be offloaded to the cloud and which should be stored locally. Real-time intelligence and analytics performed by the storage system can determine the optimal placement for data and the best way to ensure data protection.
Final takeaway
Organisations today must stay on top of the ever-increasing amount of data they generate. It’s not easy — or inexpensive — to do so, as data storage costs rise rapidly. But there are strategies organisations can embrace to control the cost of storing their data while managing it to their advantage.
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