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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.
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.
This demonstrates that it requires a lesser number of people. You do not need a huge team for maintaining or working with IBM Cognos.
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.
Anyone with minimal knowledge of Looker can easily go through the documentation and understand the steps and the UI.
The customer support has been proactive, solution-oriented, and helpful whenever I have needed to reach out.
Our systems team, operating on a lot of Red Hat Enterprise Linux and maintaining long-term relations with IBM, benefits from good support coverage.
I rate technical support from IBM as eight out of ten, indicating a high quality of service.
I rate Looker's scalability a nine because of how easily we can scale by simply combining tables.
It can be scaled out to other teams, but requires building cubes and implementing policies.
The scalability of IBM Cognos is fine.
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.
The performance is not optimal on large data sets.
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.
IBM Cognos can improve its error messages, as whenever something is wrong, it does not give us the proper error message, and we end up rebooting the entire software.
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.
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.
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.
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.
| Product | Mindshare (%) |
|---|---|
| Looker | 5.6% |
| Tableau Enterprise | 16.9% |
| Qlik Sense | 8.0% |
| Other | 69.5% |
| Product | Mindshare (%) |
|---|---|
| IBM Cognos | 1.3% |
| Microsoft Power BI | 8.0% |
| Tableau Enterprise | 6.0% |
| Other | 84.7% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 8 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 35 |
| Midsize Enterprise | 24 |
| Large Enterprise | 92 |
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.
IBM Cognos Business Intelligence provides a wide range of tools to help you analyze your organization's data. IBM Cognos BI allows businesses to monitor events and metrics, create and view business reports, and analyze data to help them make effective business decisions.
IBM Cognos applies techniques to describe, summarize, and compare data, and draw conclusions. This allows users to see trends and discover anomalies or variances that may not be evident by simply reading data. Data sources that contain information from different areas of a business can be stored in separate packages. Users can see only information that they have been granted access to, based on their group or role.
IBM Cognos BI consolidates the following business intelligence functions into a single web-based solution:
Reviews from Real Users
IBM Cognos stands out among its competitors for a number of reasons. Two major ones are its powerful analysis tool and its reporting capabilities.
Prasad B., a senior software engineer at a financial services firm, notes, “The product is a very good reporting tool and is very flexible. It allows for the users to get a scheduled report. We can receive automated reports as well. They are easy to schedule on a weekly or monthly basis. It is very fast. I mean in means of report output, it's very fast compared to the actual clients involved.”
We monitor all Embedded BI reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.