It's not unusual to find that slower data storage classes are growing quickly (often due to regulatory requirements), while the more expensive and fast storage for mission-critical applications is growing relatively slowly. However, others may require a significant capital investment to align with the new business and technology objectives. B    To succeed, the project will require alignment of the business and technology goals, as well as buy-in from several areas. More of your questions answered by our Experts. Get your guide to creating and executing a successful cloud strategy. Are you planning any major expansions or modifications to your IT system?
SMBs have a few data storage capacity planning tools at their hands already. How Can AI Help in Personality Prediction? Also learn how executing upcoming IT projects — such as virtualization, consolidations or technology refreshes — will play a key role in the strategy and should be included in the implementation roadmap.

The more aligned the IT strategy is with the business, the more buy-in will occur and the easier it will be to move the data center strategy forward. How Can Containerization Help with Project Speed and Efficiency? You'll have to estimate the effect that these kinds of things will have on your data storage needs. However, it also makes IT more complex — as infrastructure that lives both inside and outside the enterprise. Consider the following three data center strategy options: consolidation, mitigation or migration. The next step to take in capacity planning is to figure out your data storage growth rate. 5 Cybersecurity Benefits, The Data Science Debate Between R and Python, Online Learning: 5 Helpful Big Data Courses, Behavioral Economics: How Apple Dominates In The Big Data Age, Top 5 Online Data Science Courses from the Biggest Names in Tech. It is usually done by analyzing the data center utilization for one to five years ahead of current operations/utilization.
Possible scenarios include: There is no one-solution-fits-all model.

To cope with this, Gartner analyst Will Cappelli says capacity planning needs to be supported by predictive analytics technology. There are also specialized capacity calculators, and there are online versions available free from storage vendors such as Dell's Data Center Capacity Planner.

26 Real-World Use Cases: AI in the Insurance Industry: 10 Real World Use Cases: AI and ML in the Oil and Gas Industry: The Ultimate Guide to Applying AI in Business: Current peak and off-peak data center resource utilization, Identifying the depletion and obsolescence time frame of data center infrastructure, Identifying data center resources that need to be increased, decreased or replaced in the future, Planning for the design and implementation of newer resources or capacity changes as identified. How do administrators find bandwidth hogs? Meet with C-suite executives to discuss business strategy and ensure that the IT strategy aligns with the business goals and objectives. From Origination to Execution. By following these 10 steps, the organization will be able to determine the right combination of hybrid data center solutions to drive efficiency, agility, and innovation. Y