Mistakes can be costly, and inefficient capacity management can leave businesses vulnerable to unnecessary spending and emergency storage purchases. Stop letting storage purchases become reactive decision-making processes, filled with frustration and uncertainty, preventing successful capacity management.

You need to supplement multi-level capacity management with forecasting models and what-if scenarios. Forecasting helps IT leaders both plan more precise outcomes and avoid unexpected problems.

If you want to help your boss make the best decisions, you need to forecast likely outcomes with a high level of certainty. Maintaining efficient capacity management is a competitive advantage for companies and can also be the key for IT leaders to be seen as the smart, strategic, and confident decision-makers they were hired to be.

What are the essential principles for successful storage capacity planning? Learn three steps to minimize costs, save time, and reduce organizational risk through stronger capacity planning.

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Modeling Your Environment

Most organizations don’t have enough data – or time – to really feel confident about their predictions. Even if all the right data is technically available, it still needs to be compiled in a way that makes sense and filters out unnecessary data. And then that data needs to be analyzed in a way that points to a likely outcome.

Whatever you use for your capacity planning, you should rely on models that best match your data and circumstances. VSI uses three models that everyone should have the ability to run: weighted average, simple linear, and customer-selected.

The weighted average builds on a customer’s most current data. This model looks at the last six months, using weighted averages and weighing last month more than other months. Most businesses don’t think they are growing as fast as they are, and they often think they have more time than they do to make storage decisions. The weighted average forecasting model can often be the most representative of a company’s current situation.

The linear growth forecasting model utilizes simple averages. It pulls from a limited sample of data to predict future growth trends.

The customer-selected growth model can offer variable time frames and can also shrink and expand historical trending. This model can be adjustable for business changes.

Each of the three forecasting models (used and offered by Visual Storage Intelligence) can be used to clarify capacity and growth assumptions. By applying one of these forecasting models, businesses can plan for various storage needs, including new workloads coming in or leaving, new applications, and performance requirements.

Better forecasting tools make it easy for IT leaders to be proactive about storage capacity requirements. IT leaders can also change their forecasting model to test for different results.

Consolidated Reporting is Essential for Capacity Planning Success

What-If Scenarios

The models above lose their efficacy if important conditions change. Similarly, if you are thinking about a change in your workloads, these models are limited in their ability to help you see the impact of that change.

Businesses are good at knowing what their future workloads will be, but they often don’t see the long-term effects of adding data. Don’t get stuck repeating short-term solutions. Beyond forecasting for your current environment, forecasting can also help with what-if data. This allows IT leaders to model applications or predictions for completely different scenarios than what data currently exists.

To be effective, your capacity planning should ensure you are never caught off guard. This is where a strategic resource can help. By being able to accurately predict outcomes for these what-if scenarios, VSI helps businesses know what to expect and avoid surprises. And VSI’s extensive modeling abilities – as well as personalized Capacity Planning as a Service (CPaaS) options through partners – helps provide the strongest forecasts with the least organizational effort from you.

VSI helps IT leaders allow for better planning, tracking growth trends, forecasting precise outcomes, and avoiding unnecessary, reactive purchases. Successful capacity management is crucial for businesses to maximize their data storage resources, as well as reducing costs and improving efficiency. Schedule a demo to talk to a VSI data expert.

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