Is Tableau Better Than Cognos?

Tableau provides a user-friendly interface, real-time data connectivity, and advanced analytics features that help you get deeper insight.

One common question companies face is whether to stick with Cognos or switch to Tableau. While Cognos has its strengths, Tableau does better when it comes to data visualization and user experience.

Does this mean Tableau is just another BI tool? Not quite! Tableau has interactive dashboards and a drag-and-drop interface that adds usability for non-technical users. Its ability to connect to various data sources in real-time provides more flexibility in analysis.

Overall, companies seeking to foster data-driven cultures find that Tableau’s capabilities for intuitive insights and collaboration far surpass what Cognos traditionally has.

How to Migrate from Cognos to Tableau

Step 1: Analyse Your Cognos Dashboard and Plan Migration Based on Priority

Analyzing your Cognos dashboard is crucial for a successful migration to Tableau. Proper planning ensures essential dashboards are prioritized and redundant ones are minimized. In this, you need to look closely at what needs to be prioritized based on BAU activities and what’s most needed.

• Identify Key Reports: Catalog all Cognos reports, dashboards, and data models. Distinguish high-priority ones based on usage and business impact.
  
• Assess Complexity and Dependencies: For each report, check embedded calculations, data sources, and user dependencies that might affect migration.
  
• Define Migration Phases: Break down complex workflows and group reports into migration phases to streamline the process.

Step 2: Extract Data from Cognos

Extracting data from Cognos is a technical prerequisite for migration to Tableau. Proper extraction ensures data consistency and integrity during the transition.

• Use Cognos SDK: Use the Cognos SDK to extract data directly, preserving key metadata and report structures.
  
• Query Underlying Database: Access the database directly for larger, complex datasets, allowing faster, unfiltered extraction.
  
• Employ ETL Tools: Make use of ETL solutions like Informatica or Alteryx to standardize data structure for seamless Tableau integration.

Step 3: Transform or Prepare Data to Be Compatible with Tableau

Transforming data for Tableau compatibility is a crucial step to ensure seamless integration post-migration from Cognos. Proper data preparation optimizes performance and usability in Tableau.

• Normalize Data Formats: Adjust field types, structures, and formats to align with Tableau’s requirements, reducing transformation complexity.
  
• Define Relationships: Set up database joins and relationships to match Tableau’s relational data model for accurate aggregation.
  
• Use ETL Tools: Use ETL tools like Tableau Prep or Alteryx to clean, reshape, and aggregate data efficiently before loading.

Step 4: Move or Load Data into Tableau

Moving data into Tableau is a critical phase in the migration from Cognos, ensuring that users can access and analyze information effectively. 

• Connect Data Sources: Establish connections to databases or upload Tableau extracts to facilitate real-time or scheduled data updates.
  
• Utilize Data Extracts: Create Tableau Data Extracts to improve performance, especially for large datasets, enabling faster query responses.
• ‍Schedule Refreshes: Set up automated data refresh schedules to ensure that reports reflect the most current information, maintaining data integrity across visualizations.
  

Step 5: Recreate Reports and Visualisation on Tableau

Recreating reports and visualizations in Tableau is vital for using the platform's capabilities post-migration from Cognos. This step ensures continuity and improves data insights. In doing so, you’ll also find that Tableau has better visualization capabilities when compared to Cognos.

• Analyze Existing Reports: Review Cognos reports for key metrics, filters, and visual elements that need replication in Tableau.
  
• Utilize Tableau’s Features: Using Tableau’s advanced visualization options, such as calculated fields and parameters, to boost interactivity and user engagement.
  
• Implement Dashboard Actions: Create interactive dashboard actions (filters, highlights) to facilitate seamless data exploration, mirroring Cognos functionality while improving user experience.

Step 6: Test and Validate Data For Tableau

Testing and validating data for Tableau is essential to ensure accuracy and reliability after migrating from Cognos. This step helps maintain data integrity throughout the analysis process.

Aside from this, it helps make sure that the logic from Cognos functions easily and without a hitch in tableau - an issue here could be the result of missing values or incorrect mapping.

• Cross-Reference Metrics: Compare key metrics between Cognos and Tableau to confirm consistency and identify discrepancies.
  
• Perform Data Quality Checks: Conduct data quality assessments, checking for anomalies, missing values, and data type mismatches
• Engage End Users for Feedback: Involve end users in the validation process to ensure that the visualizations meet business needs and expectations, fostering user trust and adoption.

Step 7: Train and Document Processes for Better Transitioning

Training and documenting processes during the migration from Cognos to Tableau is critical for ensuring a smooth transition and user adoption. Comprehensive training minimizes disruptions and promotes efficiency.

• Develop Training Materials: Create detailed guides and tutorials focusing on Tableau features, report building, and data navigation tailored to user roles.
  
• Conduct Interactive Workshops: Facilitate hands-on training sessions to allow users to practice building dashboards and analyzing data in real time.
  
• Document Migration Processes: Maintain thorough documentation of migration steps, data sources, and customizations to support ongoing user inquiries and future onboarding.

Step 8: Upload or Deploy This to a Tableau Server

Uploading and deploying to a Tableau Server is essential for making your visualizations accessible to end-users post-migration from Cognos. Proper deployment encourages collaboration and data sharing.

• Prepare Workbooks for Server: Ensure all workbooks are optimized, with extracts and connections verified to prevent performance issues.
  
• Utilize Tableau Desktop: Use Tableau Desktop to publish workbooks directly to the Tableau Server, selecting appropriate project folders for companies.
  
• Set Permissions and Access: Configure user permissions and access settings on the server to ensure secure, role-based access to reports and dashboards.

Why Migrate to Tableau from Cognos

Better Data Visualization

Many companies face challenges with outdated data visualization tools like Cognos, leading to frustration among users.

Tableau addresses this issue with better data visualization capabilities, allowing users to create dynamic and interactive dashboards designed to their specific business needs.

Unlike Cognos, Tableau uses a more intuitive drag-and-drop interface, helping with faster insights.

Additionally, it also has real-time data connections and advanced analytics through its in-memory processing. This helps users access up-to-date information a lot easier. Overall, transitioning to Tableau improves data-driven decision-making by providing clearer visual narratives and facilitating collaboration across teams.

Quicker Creation of Reports

Many companies struggle with lengthy reporting processes in Cognos, leading to delays in decision-making. However, Tableau improves report creation, empowering users to generate insights rapidly without extensive technical expertise.

Well, It’s more than just a reporting enhancement. Tableau’s drag-and-drop functionality allows users to visualize data in real-time, while its powerful data blending capabilities make integration from multiple sources easier.

Additionally, automated data refreshes make sure that reports reflect the most current information, drastically reducing turnaround times and adding to the overall productivity in data-driven environments.

Easier to Use

A common frustration with traditional BI tools like Cognos is their complexity, making data analysis cumbersome for many users. However, Tableau transforms this experience by offering a more intuitive platform for data visualization.

Is it just a user-friendly interface? Not exactly! Tableau’s drag-and-drop functionality allows users to create compelling visualizations without extensive training. Its seamless integration with various data sources and real-time updates facilitate instant insights.

Overall, this ease of use helps teams to use data more effectively, enabling quicker decision-making and fostering a culture of data literacy across your company.

A More Modern Platform

Many users find themselves frustrated with the outdated interface of Cognos, which can come in the way of data analysis. However, Tableau presents a modern platform designed to meet today’s data visualization demands.

Tableau uses a state-of-the-art architecture that supports real-time analytics and reliable data connectivity. Its cloud capabilities allow for easy collaboration and sharing across teams, while advanced features like AI-driven insights and machine learning integrations improve decision-making.

Overall, migrating to Tableau allows companies to harness the power of modern analytics for competitive advantage.

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