There are many reasons to move from Tableau to Cognos. But before doing so, we should know each of the software a little bit. IBM Cognos and Tableau both have transformed the Business Intelligence software market. Both the software has phenomenal capabilities and potential features. These two powerful analytics tools are stable and reliable. The demands of the clients are always changing. So, enterprises are still looking for better flexibility of the Business Intelligence tool.
We know that Tableau is a powerful data visualization tool. It simplifies raw data into an easy format. So that a common user can understand the data and customize it. The basic features of Tableau:
- Combining data
- Real-time analysis
Whereas IBM Cognos is a web-based reporting and analytics tool. It helps enterprises to gather data and create user-friendly detailed reports. Cognos offers users an option to export the report in XML or PDF format. It allows you to view the reports in XML format. The basic features of the Cognos:
- It is platform-independent
- Gives real-time alerts and notifications
- Has inherent web interface
- Suitable for Personalized and progressive interaction
- Offers search-assisted authoring option
- Allows user to edit existing data
- Provides drag and drop user interface for content authoring
- Able to integrate with potential image documentation
- Has a firewall to secure data
Though both the software is leading the market, still there are 5 reasons to move from Tableau to Cognos:
Cognos has a simple implementation process. You can deploy it into the cloud very easily. This makes the new learners keep up the pace with some important aspects. However, the learners can quickly understand this business intelligence tool and simply upgrade their skills in data reporting and analytics. The implementation process for IBM Cognos Analytics is as follows:
- It explains the requirements and goals of an enterprise who are using the platform
- Downloads the server and client components
- Farther it installs database and ETL configuration
- Uploads master data and configure the historical data
- Deploys other in-built applications, like reports and dashboards
- Performs complete testing
- Transfers information to users
- Provides remote support up to two days after implementation is done
Whereas implementation for Tableau is not so easy. Tableau Server requires constant maintenance and IT support to keep them running smoothly. For this, your IT people need sound technical knowledge and specific experience.
Cognos can help to transform data into smaller information which helps to find and work with a typical data type. So, it can explore data relations dynamically. When business users turn their data into visualization, they should understand the context clearly. Because they work on other data format which is different from the original format. Surely, Cognos is a complete analytics platform for data experts and visualization tools for common users. If you are looking for only a visualizations BI tool, then you will first opt for Cognos. So, upon visualization, Cognos Insight helps to identify and validate important relationships and positive differences in the raw data. Users can gain new insight to improve business. Another feature is that users do not need to write code to connect to data sources.
Cognos shows different insights depending on visualization:
- Points out the displayed target value.
- Displays the strength of the relationship between the target and explanatory fields
- Defines values that are most significantly higher or less than the trend
- Defines the frequently reported values
Cognos Business Insight helps users to create their dashboard with any object so that users can view all the content as an object. However, some people argue that Tableau can rapidly achieve greatly functional data visualization. The new module Cognos business Insight Advanced empowers in Cognos 10. It combines Cognos Query Studio and Cognos Analysis Studio. Hence, it offers a robust authoring environment for enterprises.
As Cognos has an extensive BI platform, it offers various tools for back-end tasks. These are the ETL process, data warehousing, data integration, and SQL queries. Thus, Cognos allows ensures its users that their data has high integrity and meets enterprise standards. But Tableau doesn’t offer this type of tool. IBM Cognos stacks up against Tableau as it performs better with huge data and it works well with other tools to use the data or pull the data from. IBM Cognos allows its users to create their own views from the cubes you have built. Due to this capability, you can use it to pull exactly what you want to see specific to your group. Also, it allows multiple users to change the report in a way so that they can see without changing the data. Which everyone has.
Whereas. Tableau is not for an enterprise that has major deployments and technical customers.
In Cognos, the IT controls its implementation centrally. Most Cognos business users are not able to create their own reports. Although a lot of people consider it a tool for end-users, in most cases, they can’t engage with the tool as much as they like.
As it’s a powerful tool, it helps many organizations to generate bugs free outcomes. That’s the reason why many organizations are adopting it. Using this software, you can mathematically analysis of data and core concepts.
Cognos is now available as a service on the cloud. Naturally, it is easier to get up and running. Because of moving to the cloud, with low IT cost infrastructure you may connect to on-premises data sources. Still, you will get optimal performance. On the other side, Tableau is weak in data analysis as it can’t integrate combinations of data sources.
Everybody knows that IBM has a broad customer support system that provides training and certification for the software. They offer also individual training for specific roles within a company. Apart from this, IBM also offers online tech support for critical issues with the business intelligence tool. Though Tableau is also a potential tool, it’s not widely used because of its less recognition as compared to the IBM brand to the business users.