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| Product | Mindshare (%) |
|---|---|
| Looker Studio | 2.5% |
| Microsoft Power BI | 15.3% |
| Tableau Enterprise | 15.1% |
| Other | 67.1% |
| Product | Mindshare (%) |
|---|---|
| SAS Visual Analytics | 1.7% |
| Tableau Enterprise | 9.8% |
| Qlik Sense | 4.9% |
| Other | 83.6% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
Looker Studio offers seamless integration with Google products, supporting business visualization and collaboration through efficient data management and analytics, catering to teams aiming for quick analytics solutions.
Looker Studio combines diverse data source integration including SQL and MongoDB with powerful visualization and custom filter creation. Users find its visuals clean and its platform user-friendly, enhanced by collaboration features and pricing. It aids decision-making and is popular for tracking metrics and analyzing sales funnels. Despite its strengths, users seek faster report loading, simpler data modeling, and better interface usability. Advertising system limitations, delayed data reflections, and integration challenges affect performance. Security and stability improvements alongside a richer data modeling layer are desirable, with pricing impacting large organizations.
What are the most important features of Looker Studio?Looker Studio supports business visualization for different industries, creating dashboards and reports for sales and marketing analysis. It's used to track metrics and sales funnels from sources like Google Sheets and BigQuery. Many companies integrate Looker Studio within web apps, providing data insights tailored to sectors such as e-commerce, finance, and more.
SAS Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.
SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.
What are the most significant features of SAS Visual Analytics?SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.
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