Microsoft Power BI by Microsoft
Microsoft Power BI helps teams in data analysis software by giving them one practical place to keep work moving. It is most useful when ownership, handoffs, and deadlines are alrea...
DataWarehouse Explorer software reviews, alternatives, pricing, & feature 2026
DataWarehouse Explorer from CNS International is positioned as the world's easiest-to-deploy OLAP (Online Analytical Processing) analysis and reporting tool, built on Microsoft technology. It excels in providing rich features, high-speed querying, simple deployment, and ease of use for slicing and dicing multidimensional data. The tool likely connects directly to Microsoft SQL Server Analysis Services (SSAS) cubes or similar data warehouses, allowing business users to create ad-hoc reports, perform deep dives, and visualize trends through an intuitive interface without writing complex MDX queries. This tool is aimed at business analysts, financial planners, and reporting specialists within organizations that have a mature Microsoft-based data warehou...
This tool is aimed at business analysts, financial planners, and reporting specialists within organizations that have a mature Microsoft-based data warehouse infrastructure (e.g., using SSAS). It is ideal for companies looking to empower end-users with self-service analytics capabilities on top of their existing corporate data cubes.
DataWarehouse Explorer delivers on a specific promise: making powerful OLAP analysis accessible and easy. For enterprises entrenched in the Microsoft data ecosystem, it offers a user-friendly gateway to their cubed data, potentially unlocking greater value from existing investments. Its focus on ease of use and deployment is a significant advantage.
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This tool is aimed at business analysts, financial planners, and reporting specialists within organizations that have a mature Microsoft-based data warehouse infrastructure (e.g., using SSAS). It is ideal for companies looking to empower end-users with self-service analytics capabilities on top of their existing corporate data cubes.
These are common features buyers compare in Data Analysis Software. Product-specific availability should be confirmed with the vendor.
Create visual dashboards that surface the metrics your team checks repeatedly.
Connect to multiple data stores so analysis uses a more complete business picture.
Discover, connect, and validate data streams before analysis work starts.
Convert complex datasets into clear charts and tables for faster interpretation.
Ask questions in plain language and return results without deep query-writing.
Use historical patterns to estimate possible future scenarios and risks.
Build custom data operations such as extraction, transformation, and comparison tasks.
Generate reusable reports that can be shared across teams with clear update visibility.
Prepare and clean data independently so teams are not blocked on every report request.
Enable business users to produce their own analysis outputs without depending on IT for every query.
Package analytical findings in a simple narrative flow that non-technical stakeholders can act on.
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