Data Analytics is the science of deriving insights from the data using quantitative and qualitative approaches. Various patterns are identified and analysed to prescribe solutions for various businesses to win.
The prescription of a doctor is right only when the symptoms are described correctly by a patient.
In DataFly, we believe that data can be interpreted rightly only by the rightly defining the business problem. The diagnostics (the exploratory data analysis, the forecasting/ predictive analysis) are all done with right direction and approach. The inferences are visually done and verified with the clients.
Many people think Solar installations are capital intensive, the return of investment(ROI) is low and aren’t worth buying. Is that really so? How can any consumer check ROI? We have a solution for the same. The savings made by installing solar equipment is projected using quantitative forecasting model – Auto Regressive Integrated Moving Average model (ARIMA) – The Data Analytics.
Customers can not only see when the breakeven happens – also they can see the carbon footprints that are being saved!
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