Consumption-led pricing is a storage gamechanger
Recent months have seen inflation rising at the fastest rate since the 1980s and forward thinking organisations are looking for practical ways to reign in spending and mitigate the business impacts. One good option is to consider a switch to consumption-led pricing models for on-premises storage infrastructure.
This trend was already underway, but now, increased economic uncertainty has solidified the shift towards flexible purchasing models. Movement towards ‘pay as you use’ is consistent with Gartner’s prediction that “by 2023, 43% of newly deployed storage capacity will be consumed as OPEX, up from less than 15% in 2020.” The need to intelligently leverage data for business advantage within the enterprise storage environment has meant the capability to scale efficiently yet cost effectively, has never been more crucial to a business’s bottom line. Remaining behind the data curve means that companies can risk losing valuable market share.
In a traditional data centre environment, budgeting can often be complex and time consuming for the teams involved. Superfluous, long commitments are demanded or negotiated by the provider or vendor, and uncomfortable compromises are made by the customer. Flexible and hybrid cost models are more accommodating. They allow for a reduction to administration levels, no compromises to petabyte scale performance and full scalability, with built-in protection from market pricing shifts or logistical delays to hardware availability.
Simplify Consumption for Predictable Spending
Within the enterprise environment, any IT Manager could face a multitude of questions regarding the balance of cost vs performance requirements, including the most pertinent – like Do I know my exact enterprise infrastructure requirements over the next few years? Will I have to risk paying up front? With voraciously hungry data consumption driving the enterprise, most businesses need to compromise on scalability vs performance, but within a tightly controlled cost framework. Switching to a flexible consumption model means customers can ensure a better user experience while also increasing profitability and end-user value.
According to industry commentators, the economic pressures already affecting supply chains will increase in the next five years, with system hardware components likely to become even less procurable than they already are. The Bloomberg Economics Supply Indexes are showing current shortages just off a 20-year high in the U.S., with gauges for the U.K. and Euro region at a similarly elevated level.
A hybrid approach to purchasing
The ability to combine CAPEX and OPEX consumption models enables businesses to pivot quickly depending on often volatile market conditions, supply chains and economic environments. It means they can ‘flex up and flex down’ at times when no one knows what’s around the corner with regards to capital investments in infrastructure. For instance, here’s a simple example of how flexible consumption or pricing models for enterprise storage could work. Rather than agreeing to a 12 or 24 month fixed contract, the business ‘buys’ 20% of their requirements upfront but retains the flexibility to instantly scale to 100% more capacity when it is needed. The 20% lower level of dedicated base-level enterprise capacity equates to known immediate storage needs, and then they only pay for the extra they use as and when it’s used. There’s a reason CIOs and Procurement Officers love pricing models that allow capacity to be scaled use up or down as business needs dictate. IT organisations can also become more agile with this type of Elastic Pricing, which allows customers to pay for storage with a combination of CAPEX (Base Capacity) and OPEX (Burst Capacity).
Reduce Risk and Consolidate Costs
Looking at Total Cost of Ownership (TCO) for an enterprise taking a holistic approach, it means the team can increase flexibility and directly link IT spending to direct business activity. Modern CIOs need to be open minded with regards to the viability and cost savings provided by consumption-led pricing models for their on-premises storage provision.
Future Storage Innovation and Growth
Storage is a critical component in any enterprise IT stack and very often represents a significant investment piece within the overall IT budget. Companies should therefore look to simplify their storage infrastructures and adopt “pay-as-you-grow” cost modelling to improve their returns. By concentrating more critical resources on business initiatives that can develop real world advantage and improve operational efficiency, businesses can capitalise on improving performance, reliability, scalability and availability.
Flexible pricing models shorten acquisition cycles and simplify vendor management, by eliminating the need to negotiate “custom” deals. These consumption models alongside innovative, efficient data storage systems can cost-effectively satisfy and help businesses protect against further unforeseen events, in whatever form they take – even if another global crisis hits.
In a post-pandemic environment, top IT decision makers do not necessarily need to compromise on their technology choices going forward, but should take steps to protect the bottom line, focus on increasing customer value, and find ways to maintain business momentum with the right storage infrastructure.
Author
Gareth Beanland, Country Manager, UK&I at Infinidat and a specialist in enterprise storage.
Infinidat offers a range of enterprise-class data storage solutions and is devoted to helping its clients compete more effectively in the petabyte era. Infinidat FLX is a new concept in delivering enterprise storage infrastructure and data protection-as-a-service. The FLX flexible consumption model is available across Infinidat’s entire portfolio of products, including InfiniBox®, InfiniBox™ SSA, and InfiniGuard®. With FLX pricing, you get the storage capacity you need — on-demand. Users benefit from an all-inclusive subscription with pay-as-you-go scalability, hardware included for life, and an end to the risks and costs associated with data migrations.
