Best Decision Support Software for SQL Server
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Compare the Top Decision Support Software that integrates with SQL Server as of July 2025
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This a list of Decision Support software that integrates with SQL Server. Use the filters on the left to add additional filters for products that have integrations with SQL Server. View the products that work with SQL Server in the table below.
What is Decision Support Software for SQL Server?
Decision support software is designed to help organizations make informed, data-driven decisions by analyzing large amounts of data and presenting actionable insights. It integrates data from various sources, applies analytical models, and uses algorithms to predict outcomes, assess risks, and provide recommendations. The software often includes visualization tools like dashboards and reports, making complex data more accessible and understandable for decision-makers. It is widely used in fields such as finance, healthcare, and logistics to improve operational efficiency and strategic planning. Ultimately, decision support software enhances decision-making by offering timely, accurate, and relevant insights to guide business choices. Compare and read user reviews of the best Decision Support software for SQL Server currently available using the table below. This list is updated regularly.
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CORAS’ Enterprise Decision Management Platform (EDMP) is a robust and scalable 360° Commercial-Off-The Shelf (COTS) application developed for DOD and Federal Agencies which ingests and/or integrates disparate sources of data (public or private) and presents it in a "single pane of glass" to facilitate decision management. Leveraging a proprietary data connection framework, APIs, and data lake, disparate data is ingested, transformed via ETL (Extract, Transform, Load), and rendered in a set of decision management tools permitting selections to be made in real-time. CORAS provides a frictionless platform to the DoD, tackling their major programming and asset management challenges through the aggregation of existing data sources, the analysis of project and program readiness, and the automation of information reporting. The resulting time savings can be measured in man-hours, decreasing the time to decision while also supplying historical records why decisions were made.
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