“The solution provided by BigHub helped our large customer to fully comply with local regulation and to completely mitigate the numerous business issues connected with huge data gaps.”
Client product provides analytics to its customers, specifically using energy usage data from energy meters aka AMI data. AMI data can be messy and incomplete preventing trust and adoption of the analytics product.
Identify data issues and replace with estimated data records to ‘complete’ the dataset. With increased trust in the data, customer can launch a product to the remaining clients.
For the purpose of data completion, our solution leveraged the power of similarity modeling based on big data processing in combination with state-of-art recurrent neural network.
Thorough data exploration
Precise approach for wider gaps