Case Study: a leading global technology infrastructure provider achieves $3M-$5M in potential savings with LatentView Analytics

a leading global technology infrastructure provider saves $3M-$5M on power forecasting with LatentView Analytics

A leading global technology infrastructure provider faced the challenge of high operational costs due to inaccurate power consumption forecasts for its data centers. This low forecast accuracy resulted in expensive power prices, which was a significant problem as power consumption is their largest operational expense. To address this, they partnered with LatentView Analytics.

LatentView Analytics developed a solution that utilized the client's historical power consumption data and customer data to create accurate power consumption forecasts, which were key for successful hedging. By combining regularized random forests with an "SVD + Univariate Forecasts" approach, LatentView improved forecast accuracy. This enabled the client to achieve potential savings estimated between $3 million and $5 million.