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.