Energy and Utilities Cost Accounting - Part 2

Submitted by Thiago Turchetti Maia on Thu, 03/23/2017 - 16:43
Good rules are the foundation for good cost accounting. Costing rules determine how the continuous consumption of energy and utilities, ideally measured by a network of meters, will translate into accounting transactions in cost centers. As with most things in management, good rules contribute to accountability, accuracy, and transparency, whereas bad rules do just the opposite. Good rules will try to employ direct costing as much as possible, creating a direct association between the consumption measured by meters in specific parts of the operation to the values registered in their corresponding cost centers.

The Viridis platform manages the whole cost accounting discipline, from meters to uploaded transactions in ERP systems. It supports direct and indirect costing rules from multiple sources, and provides managers with cost tracking resources to further enhance transparency and accountability.

Energy and Utilities Cost Accounting - Part 1

Submitted by Thiago Turchetti Maia on Wed, 03/15/2017 - 16:13
Most cost-sensitive operations dedicate leadership time and effort to properly manage their costs. When done right, managers feel the pressure to cut costs right down to their own individual bottom line, and strive to improve the economic performance of the operations they are responsible for. When done wrong, that is, when costs are not properly assigned nor results diligently commanded, costs become a lesser priority to the organization with the inevitable ensuing consequences.

The Viridis platform handles all data management necessary for proper cost accounting, automating the whole workflow from meters and costing rules to indicators and accounting transactions. The Viridis costing module integrates directly with ERP systems, improving process accuracy, timeliness, transparency, and agility.

How data lakes may help energy & utilities management

Submitted by Carina Lima on Wed, 02/22/2017 - 17:07
Storing and processing large volumes of data is not a trivial task, especially when this information comes from multiple sources and is received in different formats. Different types of data, when combined, have the potential to influence strategic analyses and decision making, but they must be gathered and processed with agility and reliability.

The Viridis platform explores the concept of a data lake to combine time series sampled in real time with transactional data from management systems. To deal with large volumes of data, the system has a high-performance data historian with efficient storage and response times, capable of holding thousands of time series for many years. All this measurement data is combined with data from legacy systems such as ledger transactions, production orders, maintenance orders, laboratory data, among others. The system automatically correlates multiple types of data, temporal and transactional, allowing disruptive views on energy performance and operational efficiency.