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Reliable data plus less human intervention and less error result in a strong return on investment.
The reporting time was reduced by approximately forty percent, and teams could access insights much faster, which improved overall productivity.
It has helped us save costs by making sense of large bodies of data.
I have seen a return on investment with TIBCO Spotfire, as it definitely saves time.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
Having a local partner was crucial for us while they were there.
They are very supportive when needed and very knowledgeable about the product.
Based on my experience, customer support for TIBCO Spotfire is generally good and responsive, especially for standard technical issues, documentation requests, and product guidance.
It scales effectively for adding new dashboards, users, and data sources without major disruption.
The scalability of TIBCO Spotfire is good overall, as it handles growing data and additional users quite well, especially in the cloud environment.
Spotfire continues to perform effectively as data volume grows.
There are no significant stability issues as long as the product's capabilities are understood and not overly pushed.
It performs well for day-to-day reporting, dashboards, and analytic workloads.
TIBCO Spotfire is more stable than other tools; overall, it is stable and reliable.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
SAS Data Management can be improved in terms of the learning curve.
TIBCO Spotfire and ClickView need improvement in scheduling, which is critical yet lacking in quality.
It could be very useful if the coding part of using the platform could be more user-friendly in terms of visual capability.
TIBCO Spotfire can be improved in handling very large data, faster dashboard loading, simpler advanced scripting, and better customization options for visualizations.
From my experience, SAS Data Management is an expensive tool.
TIBCO Spotfire's pricing is high, particularly in traditional markets like Turkey, impacting market penetration.
The pricing of TIBCO Spotfire is on the higher side compared to some competitors.
The pricing for TIBCO Spotfire was on the higher side compared to some other BI tools.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.
TIBCO Spotfire integrates with R and Python, offering a differentiator from the competition.
The best features of TIBCO Spotfire are interactive dashboards, real-time data analysis, strong data visualization, easy data integration, and it also provides drill-down analysis, predictive analytics, and user-friendly filtering options.
The best features of TIBCO Spotfire for me are the interactive dashboards, which provide easy data visualization and strong data integration support.
| Product | Mindshare (%) |
|---|---|
| SAS Data Management | 1.2% |
| Informatica Intelligent Data Management Cloud (IDMC) | 3.8% |
| SSIS | 3.7% |
| Other | 91.3% |
| Product | Mindshare (%) |
|---|---|
| TIBCO Spotfire | 1.3% |
| Microsoft Power BI | 7.4% |
| Tableau Enterprise | 5.9% |
| Other | 85.4% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 15 |
| Large Enterprise | 44 |
SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.
SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.
What are the key features of SAS Data Management?SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.
TIBCO Spotfire offers a robust analytics platform known for its seamless data integration, advanced analytics automation, and powerful data visualization capabilities, providing dynamic dashboards and extensive customization to support decision-making.
TIBCO Spotfire stands out as a versatile analytics tool that improves data handling and visualization. It integrates with multiple data sources and tools, efficiently managing large data volumes. Users can create interactive visualizations and dashboards with diverse customization options using R, Python, HTML, and JavaScript. Spotfire's scalability and stability facilitate real-time analytics, data exploration, and collaborative decision-making, while its comprehensive connectivity supports different systems and databases.
What are the crucial features of TIBCO Spotfire?TIBCO Spotfire finds applications across industries such as banking, biotech, oil and gas, and services, facilitating data-driven decision-making in business operations, finance, and clinical studies. It empowers businesses with data integration, predictive model analytics, and real-time insights for comprehensive data exploration and forecasting.
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