Viridis builds energy & utilities management solutions based on big data. To us, however, large amounts of data are not enough. Our products employ contextualization algorithms, pattern recognition algorithms, automated model inference, and relevant fact identification from a large data lake fed from sources all over the operation. One of our differentiators is to help answer the “whys” of energy consumption and effectively promote actions to improve efficiency.
When discussing energy management practices in different companies, we often hear “proud” managers arguing that they are doing very well because they have thousands of tags being registered in a historian system, they already receive a daily consumption report for each production line, they account for all costs on the first day of the following month, or even that they have the history of the last 3 years of invoices for the thousands of sites in their operation. It doesn’t take long – usually around 5 questions – for them to understand that all they have is data, and that data alone does not reveal the relevant facts that would lead to effective actions.