Advectas AB - Metry - Energy Consumption

When climate is essential and tracking your energy consumption is vital, this out of the box solution from Advectas helps you analyze your Metry information. The sensor data is automatically extracted from Metry and you get a 360 view on where energy is consumed and where you can plan and increase the effectiveness.

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Climate change is a hot topic in the current business climate. The need to take a social responsibility for the environment and combining those social activities with a need to reduce costs and increase profit for ourselves, our partners and ultimately our customers is a driving force for every organization. This have now evolved from need to have to a must have. 
Imagine a situation where you work with facility management and you are facing the pressure to control, operate and ultimately reduce your energy consumption. Your task is to understand where you consume energy, get to the underlying reasons why you consume energy in order to figure out what you can do about it. 

With Advectas Metry Scorecard you will get a fast and comprehensive access to the energy consumption in all your facilities. The Power BI dashboard allows your users to analyze your information through a variety of dimensions and metrics getting both an instant overview but access to all the details. 

Using Azure SQL Database for cost effective storage, Advectas Metry Scorecard allows you to extract, load and transform all relevant Metry sensor information in an instant. Metrys open, standardized APIs enables a consistent data extraction, which allows Advectas Metry Scorecard to be foundation for your energy consumption information. Within the solution, Azure Data Factory is utilized as the fundamental tool to ensure a consistent data extraction and data quality. Microsoft Power BI gives the end users an easy to use frontend experience. 

Advectas Metry Scorecard is an excellent starting point to facilitate your energy consumption analysis. With the open datamodel, the solution welcomes the organization to enhance to analysis by added more data. Weatherdata, financial information and detailed facility data is examples that would give your organization more options to further deepen your analysis and forecast. 

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