DashboardFox
Dashboards, codeless reports, interactive visualizations, data security, mobile access and scheduled reports.
DashboardFox is a dashboard- and data visualization tool for business users. It comes with a no-subscription pricing plan. You only pay once and the software is yours for life.
DashboardFox can be installed on your own server behind your firewall. Are you looking for Cloud BI? We offer managed hosting, but you retain ownership of your DashboardFox data and licenses.
DashboardFox allows users to drill down and interact with live data visualizations through dashboards and reports. Without requiring any technical knowledge, business users can create new visualizations in a codeless builder.
Alternative to Tableau, Sisense and Looker, Domo. Qlik, Crystal Reports, among others.
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Borealis
All stakeholder engagement activities can be managed from one platform. Additional modules can be added to strengthen governance, environment, and social areas. Borealis' Stakeholder Engagement module gives you the tools to create more effective engagement plans, strengthen relationships with stakeholders, and align processes with industry best practice. To simplify your day, the Stakeholder Engagement module centralizes all stakeholder information and makes it easily accessible.
Build stakeholder trust with a proven methodology
Plan
Connect engagement strategy to execution. The mapping tool in Borealis makes it easy to analyze stakeholders to prioritize the allocation of resources.
Engage
Communicate with stakeholders in a more relevant and timely manner. Borealis uses AI-driven machine learning to keep records clean and up-to-date.
Measure
Prove compliance with ever-evolving standards. Borealis lets you easily track and progress, generate reports and documentation, and demonstrate the impacts of your efforts.
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GRASS GIS
GRASS GIS, which stands for Geographic Resources Analysis Support System, is a powerful, free, and open-source suite of Geographic Information System (GIS) tools designed for the management and analysis of geospatial data, including capabilities for image processing, map production, spatial modeling, and visualization. This versatile software accommodates various data types, such as raster and vector, facilitating sophisticated modeling and data handling, as well as imagery processing and time series analysis through its Python API, which is particularly well-suited for extensive analyses. Compatible with multiple operating systems like OS X, Windows, and Linux, GRASS GIS can be utilized via a graphical user interface or seamlessly integrated with other applications, including QGIS. The software features an extensive library of over 350 modules aimed at tasks such as rendering maps, manipulating raster and vector data, processing multispectral imagery, and effectively managing and storing spatial datasets. Widely adopted in both academic and commercial environments, it also serves the needs of governmental organizations, showcasing its versatility and reliability in various geospatial contexts. The continual enhancements and community support further solidify GRASS GIS as a crucial tool for professionals working in the field of geospatial analysis.
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CADObject
CADObject, a distinctive creation by "ExonIT" LLC, enables the development of application systems and web services that facilitate seamless interaction between CAD and GIS applications. It allows for the creation and management of project documentation that adheres strictly to customer specifications. By enabling real-time updates to documentation, it significantly reduces operational costs. Additionally, it maintains a comprehensive history of an object's lifecycle, granting instant access to critical information as needed. The system integrates smoothly with existing enterprise systems, enhancing overall functionality. What sets CADObject apart from other similar solutions is its capability to generate an object data model during the data exchange process between CAD and GIS. This involves recognizing standard graphic symbols, categorizing them into distinct objects based on a defined classifier, and subsequently transferring them to a spatial database. Each object is assigned a specific entry within the database, which facilitates the development of analytical spatial solutions, ultimately leading to more informed decision-making. Furthermore, this innovative approach ensures that data integrity is preserved throughout the lifecycle of a project.
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