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The number of employees has reduced to half, and time is saved by nearly two to three hours a day because of automated reports.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
Anyone with minimal knowledge of Looker can easily go through the documentation and understand the steps and the UI.
They provide callbacks to ensure clarity and resolution of any queries.
I rate Looker's scalability a nine because of how easily we can scale by simply combining tables.
SAS Visual Analytics is stable and manages data effectively without crashing.
The performance is not optimal on large data sets.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
For a business user to understand data from free form or Essbase, it usually takes thirty minutes to an hour to go through the previous day's trend. However, with the visualization tools in Looker, they can easily understand the data and compare it to the previous one or two years using a bar graph, pie chart, or other graphs.
The ability to query information from our Excel data into SAS to view specific data is invaluable.
| Product | Mindshare (%) |
|---|---|
| Google Data Studio | 5.5% |
| Tableau Enterprise | 17.5% |
| Qlik Sense | 7.9% |
| Other | 69.1% |
| Product | Mindshare (%) |
|---|---|
| SAS Visual Analytics | 1.7% |
| Tableau Enterprise | 10.3% |
| Qlik Sense | 5.2% |
| Other | 82.8% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 8 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
Google Data Studio enables seamless integration with Google's ecosystem, enhancing data visualization with Looker's capabilities. Its semantic layer and real-time insights support efficient dashboard creation and sharing.
Google Data Studio offers comprehensive data management through LookML, allowing custom data modeling with minimal training. Its centralized data management facilitates dashboard creation for non-technical employees. Users benefit from real-time insights and advanced analytics, along with automated reporting that reduces workload. Although it offers customization and data-level security, areas like visualization flexibility and large dataset performance need improvement. Challenges include handling complex filters, limited chart types, and the absence of multi-sheet options.
What are the key features of Google Data Studio?Google Data Studio is implemented in industries like real estate, sales, and marketing for creating operational reports and understanding trends. It helps organizations visualize data for customer behavior analytics, supporting developers in managing integrations and data governance efficiently.
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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