

Find out what your peers are saying about Microsoft, Salesforce, SAP and others in BI (Business Intelligence) Tools.
I have seen a return on investment through improved decision making, as automated distribution and uptime, along with scheduled report delivery and bursting, have eliminated various manual emailing and delays, thereby saving time and cost.
Management can now drill down and view executive summaries for new products and fraud analytics quickly, resulting in less red tape during the decision-making process.
This demonstrates that it requires a lesser number of people. You do not need a huge team for maintaining or working with IBM Cognos.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
I have seen a return on investment with SAS Visual Analytics, as it includes AI capabilities and automatic functions with scheduling, allowing reports to be made from live data, which contributes to a new vertical for revenue generation.
Our systems team, operating on a lot of Red Hat Enterprise Linux and maintaining long-term relations with IBM, benefits from good support coverage.
The customer support has been proactive, solution-oriented, and helpful whenever I have needed to reach out.
Customer support for IBM Cognos is very responsive.
They provide callbacks to ensure clarity and resolution of any queries.
They assist us when we encounter issues and provide help while we complete tasks.
IBM Cognos displays good scalability, as it handles increased data growth well.
It works across small teams to enterprise-level deployment.
It can be scaled out to other teams, but requires building cubes and implementing policies.
SAS Visual Analytics scalability is very good and positive.
IBM Cognos is stable and very flexible.
I rate the stability of this solution as nine out of ten, indicating it is highly stable.
In my experience, IBM Cognos is stable, as I have not experienced any downtime or lagging issues.
SAS Visual Analytics is stable and manages data effectively without crashing.
I would also suggest enhanced predictive analytics to move from more reactive to proactive decision-making.
IBM Cognos can be improved by addressing its limited real-time data connectivity, as well as enhancing the endpoint experience and mobility, which currently is not satisfactory due to limited data blending.
IBM Cognos could improve by introducing different role types, such as viewer roles, user roles, and admin roles, along with assigning minor modules to specific individuals.
Training on SAS Visual Analytics is required to help overcome these issues.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
Our central team negotiated a different price because multiple teams within our organization use IBM Cognos, bringing the price down to around $10 to $11 per user per month.
I rate pricing as a four, meaning it is more expensive compared to other solutions.
My experience with pricing, setup cost, and licensing is positive, as the price is relatively competitive and affordable.
The AI features in IBM Cognos helped me gain deeper insights into our business processes, enabling me to make data-driven decisions easily and understand which points need our attention and which areas of our business are performing well.
Some of the best features that IBM Cognos offers are enterprise reporting, which enables us to create, customize, and run reports on sales trends, consumer sentiment, and many more; dashboard creation; and data exploration and analysis.
Our dedicated cybersecurity team ensures that sensitive data does not become public, making it crucial that data stored in IBM Cognos remains secure throughout the entire data cycle, which is where these enterprise-grade security measures prove invaluable.
After implementing SAS Visual Analytics, we have generated a new way to generate revenue by providing live data visuals to our clients and making our team aware of data in real time, which has had a significant positive impact.
The ability to query information from our Excel data into SAS to view specific data is invaluable.
| Product | Mindshare (%) |
|---|---|
| IBM Cognos | 1.4% |
| Microsoft Power BI | 7.5% |
| Tableau Enterprise | 5.8% |
| Other | 85.3% |
| Product | Mindshare (%) |
|---|---|
| SAS Visual Analytics | 1.6% |
| Tableau Enterprise | 9.7% |
| Qlik Sense | 4.8% |
| Other | 83.9% |

| Company Size | Count |
|---|---|
| Small Business | 37 |
| Midsize Enterprise | 24 |
| Large Enterprise | 92 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 10 |
| Large Enterprise | 19 |
IBM Cognos provides a powerful toolset with AI-driven data exploration and robust reporting for efficient data-driven decisions. It supports seamless data integration and user-friendly dashboards for flexible report creation.
IBM Cognos enables organizations to leverage AI-enhanced analytics, integrating data from multiple sources to create comprehensive business insights. It supports complex report creation, dashboards, and predictive capabilities, enhancing decision-making through customizable reports and connectivity with multiple databases. The platform is recognized for strong security, scalability, and integration capabilities, but may require more intuitive visualization and documentation improvements.
What are the key features of IBM Cognos?In specific industries, IBM Cognos is used for financial reporting, operational dashboards, sales performance monitoring, and fraud analytics. Companies leverage its predictive capabilities for proactive planning and risk assessment, benefiting from its integration with IBM Watson for enhanced AI-driven analysis.
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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