Consider the Pear.ai Platform to be your personal mathematician.
The Pear.ai Platform Budgeting Feature can help.
Could you imagine spending hours forecasting another 12 months only to realize you were using incorrect numbers?
It can be tricky to predict the following year's utility costs when factoring in variable costs, inflation rates, missing data, anomalies, etc. Not to mention, it's all too easy to make small mistakes that have an enormous impact.
Let the Pear.ai Platform do all the hard work so you can focus on creating an accurate budget.
We recognize that each company is unique with its own budgeting goals, which is why our budgeting reports are customizable. Numerous filtering options allow you to aggregate the data into information your company needs.
Expose anomalies faster without skewing your data.
The Pear.ai Platform fills in missing information, using an average of all data or an average of the closest data set, ensuring your company receives a clean budget forecast. In turn, energy managers can use this information as a baseline to compare against the actual bill. If the numbers do not align, it can indicate something is amiss, such as a water leak at a particular location.
Generally, unexpected water leaks go long periods undetected and throw off your budget by distorting the data. Thankfully, the Budgeting and Forecasting feature provides baseline data to compare charges and allows customers to select a filter to smooth potential outliers in usage data
Account level budgeting: helping energy managers meet their company's budgeting needs.
The Pear.ai Platform's Budgeting and Forecasting feature creates a 12-month budget for every virtual account, which includes all the meters tied to a particular location, and that's a lot of utility data to analyze. With the Pear.ai Platform, energy managers can select specific parameters to create an accurate budget more efficiently.
The Budgeting and Forecasting Feature's Parameters
- Regression charts help predict future costs by ingesting all the data and analyzing variable trends.
- Max and Median cost help create a more conservative budget.
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Most recent unit cost is helpful if there was a rate change or insufficient historical data.
All YOUR budgeting information is compiled into a downloadable Excel file.
This file contains the 12-month budget for every virtual account broken down by months. This report includes all the data, including numbers and outliers modified or smoothed out, to allow energy managers to dive deeper into their data.
The energy manager sets the first month of the budget, in order to accommodate fiscal years that do not start in January.
The system will retain all versions of budget numbers for later retrieval.