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EQuIS Online
by EARTHSOFT INCMicrosoft 365Paid
Runs EQuIS in Microsoft Azure for environmental data planning, collection, checking, analysis, reporting, and visualization.
PRICINGPaid
DEPLOYMENTCloud
CATEGORYAnalytics
UPDATED ON MARKETPLACE
What it does
EQuIS Online hosts EQuIS in Microsoft Azure and covers environmental data activities such as project planning, task management, field collection, data checking, validation, analysis, reporting, graphics, and visualization. It lets organizations configure workflows around their data management plans. The system supports environmental information related to chemistry, biology, geology, geotechnical work, hydrology, limnology, water, air, soil, sediment, noise, radiological data, waste, and compliance monitoring. EQuIS data can be opened in Power BI Desktop through an EQuIS Enterprise connection or exported to other analysis and visualization software.
Key capabilities
from the Microsoft Marketplace listingEnvironmental data workflow
Covers planning, task management, field collection, data checking, validation, analysis, reporting, graphics, and visualization.
Workflow configuration
Allows data management plans to be incorporated into configured workflows within the client system.
Environmental data coverage
Handles data related to chemistry, biology, geology, geotechnical work, hydrology, limnology, water, air, soil, sediment, noise, radiological data, waste, and compliance monitoring.
Power BI connection
Connects an EQuIS Enterprise site directly with Power BI Desktop.
Third-party exports
Provides interfaces for sending data to other software used for analysis and visualization.
In the catalog
657 plugins in Power BI · Analytics
Price distribution: 73 free, 108 freemium, 441 paid, 35 price not published
Pricing & deployment
Platform
Microsoft 365
Product
Power BI
Deployment
Cloud
Pricing
Paid
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What the vendor says
«EQuIS™ on the cloud in Microsoft Azure (EQuIS Online) reduces the need for IT infrastructure management. EQuIS software supports the complete environmental data workflow for a variety of project requirements, including project planning, task management, field data collection, analytical data checking, data …»