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Power BI vs Tableau vs Cognos:
A Data Analytics Research
1
TAIR Conference
San Antonio, TX | March 3rd, 2020
Luciano Boas | Abhishek Kumar | Rohan Patil
Institutional Research
Texas Tech University
Overview
2
• Data Visualization and Tools
• Data Visualization
• Problem Statement
• Introduction to Tools
• Gartner Magic Quadrant
• Flow of Data
• Power BI, Tableau, Cognos Analytics
• Tools In Action
• Dataset
• Dashboard in Power BI
• Dashboard in Tableau and Cognos
• Qualitative Research and Conclusion
• Qualtrics Questionnaire
• Responses
• Results
• Feedback
• Conclusion
Overview
3
❑ Organize and present the information
❑ Facilitates identification of trends and
patterns
❑ To make data more understandable and
support actions
❑ Why do we need data visualization?
❑ What is data visualization?
❑ Big Data (size and structure)
❑ Visual representation of information
❑ Data Visualization Tools
❑ Power BI (Version 2.78.5740.861)
❑ Tableau (Version 2019.1.8)
❑ Cognos Analytics (Version 11.0.10)
Data visualization helps to tell stories by curating data into a form easier to understand
❑ Advances in AI and ML
❑ Leverage human’s capability to
deal with Big Data
❑ Mitigating gut feeling decision-
making process
Problem Statement
4
❑ Situation
❑ TTU IR department has long history and
experience working with Tableau and Cognos
Analytics
❑ High costs of Tableau and lack of features from
Cognos
❑ Task
❑ We were tasked to research about Power BI
❑ Report findings
❑ Action
❑ We talked with other people within TTU to
learn more about PBI
❑ We experimented with PBI and compared it
with the other tools
❑ Results
❑ We find ourselves surprised of how PBI is
very powerful
❑ We are implementing PBI reports
To find the proper visualization tool under a given set of circumstance
Power BI
5
 Easy for Microsoft (Office 365) users
 Smooth learning curve
 Drag and drop interface
 Data cleaning/transformation
❑ Characteristics
❑ Features
 Range of visualizations (Market Place)
 Data source
 Data/Drill
 Print Dashboard
Power BI - Disrupting the Analytics and Business Intelligence market
Tableau
6
 Facilitates data visualization
 It has a huge community with a “fanlike” attitude
 Free version available, but with limited capabilities
 Tableau Public – a platform where users can share
their work
❑ Characteristics
❑ Features
 Collaboration and Sharing
 Data source
 Great visualizations
 Mobile view Tableau - Best practices in data visualization
Cognos Analytics
 Incorporated visualizations/dashboards
 Strong in business intelligence
 Choice for IBM Cognos customers
❑ Features
❑ Characteristics
 Web-based application
 Data scheduling
 Data protection
Cognos Analytics - Supports entire analytics life cycle
Gartner Magic Quadrant
8
 Leader in IT research and advisory
 Magic quadrants demonstrate market research and trends
 Update results for technologies every 1-2 years
Gartner is reference on evaluating IT products in many industries
 What is Gartner Inc.?
 Don’t always focus on the leader’s quadrant
 Keep an eye or market challengers
 Niche players may align with your goals
 Analysis of Magic Quadrant
Gartner Magic Quadrant (2020)
9
 Power BI: “viral spread”
 Tableau: uncertainty (Salesforce)
 Cognos Analytics: playing catch-up
Power BI gets an edge over Tableau
 For Analytics and Business Intelligence
(from data preparation to visualization)
Overview
10
• Data Visualization and Tools
• Data Visualization
• Problem Statement
• Introduction to Tools
• Gartner Magic Quadrant
• Flow of Data
• Power BI, Tableau, Cognos Analytics
• Tools In Action
• Dataset
• Dashboard in Power BI
• Dashboard in Tableau and Cognos
• Qualitative Research and Conclusion
• Qualtrics Questionnaire
• Responses
• Results
• Feedback
• Conclusion
11Power BI is the authoring and publishing for shared views on Power BI Service.
Power BI Desktop
 Data Analysis and Report Creation Tool
 Query Editor for data cleaning
Power BI ServicePower BI Report Server
 On-premises centralized hosting environment
 Release versions are behind the Power BI Desktop
 Cloud-based service with light report editing.
 Data source connections with limited modelling.
Flow of Data in Power BI
Flow of Data in Tableau
12
Tableau Desktop – Development Tableau Server – Sharing and Collaboration
Tableau Desktop
 Transform statistical data into interactive visual representation
 Build in reports to give insights to decision makers
Tableau Server
 Publish, Share and administrate the Desktop content
 Setup permissions on workbooks and data source
Tableau Prep Builder and Conductor
 To combine, clean and shape data
 Scheduling, monitoring and managing flows
Flow of Data in Cognos Analytics
13
Cognos Analytics
 Cognos Architecture has a three-tired architecture – web, application, data
 Each of the tiers can be separated by a firewall
Cognos Analytics, a web-based integrated BI tool, for reporting and analytics
Overview
14
• Data Visualization and Tools
• Data Visualization
• Problem Statement
• Introduction to Tools
• Gartner Magic Quadrant
• Flow of Data
• Power BI, Tableau, Cognos Analytics
• Tools In Action
• Dataset
• Dashboard in Power BI
• Dashboard in Tableau and Cognos
• Qualitative Research and Conclusion
• Qualtrics Questionnaire
• Responses
• Results
• Feedback
• Conclusion
Dataset
 Derived from our Factbook
 http://techdata.irs.ttu.edu/FactBook/
 College
 Gender
 Ethnicity
 Home Origin
 Undergraduate
Enrollment Count
 Graduate Enrollment
Count
 Law Enrollment Count
 Factbook Data
 Attributes in Dataset
Factsheet 2019, TTU
Data from our Factbook was extracted to build our dataset
Dashboard in Power BI
Click Here: Power BI Demo
Dashboard in Tableau and Cognos
Click Here: Tableau and Cognos Analytics Demo
Overview
18
• Data Visualization and Tools
• Data Visualization
• Problem Statement
• Introduction to Tools
• Gartner Magic Quadrant
• Flow of Data
• Power BI, Tableau, Cognos Analytics
• Tools In Action
• Dataset
• Dashboard in Power BI
• Dashboard in Tableau and Cognos
• Qualitative Research and Conclusion
• Qualtrics Questionnaire
• Responses
• Results
• Feedback
• Conclusion
Qualtrics Questionnaire
Subjective Questions:
 Accessibility (Ease of usage)
 Connecting to Data
 Data preparation/Data cleaning
 Security
 General Feedback
Coded Questions:
 Visualization
 Use of in-built features
 Ease of development
 Community Support
 Project maintenance
 Areas of interest
Questionnaire was sent to specific departments within TTU campus
Questionnaire Results (Coded Questions)
 User Satisfaction Scale
Code Category
4 Excellent
3 Good
2 Average
1 Poor
Results suggested that Power BI and Tableau are close in our areas of interest while Cognos trails behind.
Responses for Power BI (Subjective Questions)
 Accessibility (Ease of usage)
 “The tool is intuitive, and the online service has the same user-friendly permission management as other Office365
apps.”
 Security
 “The tools security is good. We can mask the data which we want to present as well so I find it secured.”
 Connecting to Data
 “Power BI was able to connect to the various data sources I work on so far.”
 Data Preparation and Data Cleaning
 “Power Bi itself provide data cleaning/prep tools via Power Query.”
TableauPower BI Cognos
Responses for Tableau (Subjective Questions)
 Accessibility (Ease of usage)
 “Tableau has a learning curve. Once you understand how the software works, it is easy to use, has a large community to
help with questions and a powerful tool for data visualizations.”
 Security
 “Tableau has good security and so far, have not faced any issues with respect to security concerns.”
 Connecting to Data
 “I love the connectivity of this tool to various data sources. I use Excel, Data Extracts and MySQL.”
 Data Preparation and Data Cleaning
 “I've been using Tableau Prep more and more and I find it's a pretty intuitive tool.”
TableauPower BI Cognos
Responses for Cognos (Subjective Questions)
 Accessibility (Ease of usage)
 “The UI of the tool feels outdated and have a steeper learning curve than more modern tools, such as Power BI and
Tableau.”
 Security
 “Cognos should be secured as I have accessed it both in network and outside network .”
 Connecting to Data
 “I would say it was fairly easy to connect the report to the database.”
 Data Preparation and Data Cleaning
 “Cognos does not offer much flexibility in preparation/Cleaning. All the work done before saves us huge time.”
TableauPower BI Cognos
Feedback Summary
 Power BI
 Potential to grow since there are regular updates every month
 Smooth integration with other Microsoft tools
 Run script directly and import the resulting dataset
 Cost-effective and easy to obtain a license
 Tableau
 Ease of creating Calculated fields and Parameters
 Tableau Server and Tableau Online provides easy web access
 Higher Cost as compared to alternatives
 Time consuming as data preparation required before usage
 Cognos Analytics
TableauPower BI Cognos
 Good for running Excel Reports
 Development is time consuming
 Tool is not intuitive
 Lack of Online Community
25

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Power BI vs Tableau vs Cognos: A Data Analytics Research

  • 1. Power BI vs Tableau vs Cognos: A Data Analytics Research 1 TAIR Conference San Antonio, TX | March 3rd, 2020 Luciano Boas | Abhishek Kumar | Rohan Patil Institutional Research Texas Tech University
  • 2. Overview 2 • Data Visualization and Tools • Data Visualization • Problem Statement • Introduction to Tools • Gartner Magic Quadrant • Flow of Data • Power BI, Tableau, Cognos Analytics • Tools In Action • Dataset • Dashboard in Power BI • Dashboard in Tableau and Cognos • Qualitative Research and Conclusion • Qualtrics Questionnaire • Responses • Results • Feedback • Conclusion
  • 3. Overview 3 ❑ Organize and present the information ❑ Facilitates identification of trends and patterns ❑ To make data more understandable and support actions ❑ Why do we need data visualization? ❑ What is data visualization? ❑ Big Data (size and structure) ❑ Visual representation of information ❑ Data Visualization Tools ❑ Power BI (Version 2.78.5740.861) ❑ Tableau (Version 2019.1.8) ❑ Cognos Analytics (Version 11.0.10) Data visualization helps to tell stories by curating data into a form easier to understand ❑ Advances in AI and ML ❑ Leverage human’s capability to deal with Big Data ❑ Mitigating gut feeling decision- making process
  • 4. Problem Statement 4 ❑ Situation ❑ TTU IR department has long history and experience working with Tableau and Cognos Analytics ❑ High costs of Tableau and lack of features from Cognos ❑ Task ❑ We were tasked to research about Power BI ❑ Report findings ❑ Action ❑ We talked with other people within TTU to learn more about PBI ❑ We experimented with PBI and compared it with the other tools ❑ Results ❑ We find ourselves surprised of how PBI is very powerful ❑ We are implementing PBI reports To find the proper visualization tool under a given set of circumstance
  • 5. Power BI 5  Easy for Microsoft (Office 365) users  Smooth learning curve  Drag and drop interface  Data cleaning/transformation ❑ Characteristics ❑ Features  Range of visualizations (Market Place)  Data source  Data/Drill  Print Dashboard Power BI - Disrupting the Analytics and Business Intelligence market
  • 6. Tableau 6  Facilitates data visualization  It has a huge community with a “fanlike” attitude  Free version available, but with limited capabilities  Tableau Public – a platform where users can share their work ❑ Characteristics ❑ Features  Collaboration and Sharing  Data source  Great visualizations  Mobile view Tableau - Best practices in data visualization
  • 7. Cognos Analytics  Incorporated visualizations/dashboards  Strong in business intelligence  Choice for IBM Cognos customers ❑ Features ❑ Characteristics  Web-based application  Data scheduling  Data protection Cognos Analytics - Supports entire analytics life cycle
  • 8. Gartner Magic Quadrant 8  Leader in IT research and advisory  Magic quadrants demonstrate market research and trends  Update results for technologies every 1-2 years Gartner is reference on evaluating IT products in many industries  What is Gartner Inc.?  Don’t always focus on the leader’s quadrant  Keep an eye or market challengers  Niche players may align with your goals  Analysis of Magic Quadrant
  • 9. Gartner Magic Quadrant (2020) 9  Power BI: “viral spread”  Tableau: uncertainty (Salesforce)  Cognos Analytics: playing catch-up Power BI gets an edge over Tableau  For Analytics and Business Intelligence (from data preparation to visualization)
  • 10. Overview 10 • Data Visualization and Tools • Data Visualization • Problem Statement • Introduction to Tools • Gartner Magic Quadrant • Flow of Data • Power BI, Tableau, Cognos Analytics • Tools In Action • Dataset • Dashboard in Power BI • Dashboard in Tableau and Cognos • Qualitative Research and Conclusion • Qualtrics Questionnaire • Responses • Results • Feedback • Conclusion
  • 11. 11Power BI is the authoring and publishing for shared views on Power BI Service. Power BI Desktop  Data Analysis and Report Creation Tool  Query Editor for data cleaning Power BI ServicePower BI Report Server  On-premises centralized hosting environment  Release versions are behind the Power BI Desktop  Cloud-based service with light report editing.  Data source connections with limited modelling. Flow of Data in Power BI
  • 12. Flow of Data in Tableau 12 Tableau Desktop – Development Tableau Server – Sharing and Collaboration Tableau Desktop  Transform statistical data into interactive visual representation  Build in reports to give insights to decision makers Tableau Server  Publish, Share and administrate the Desktop content  Setup permissions on workbooks and data source Tableau Prep Builder and Conductor  To combine, clean and shape data  Scheduling, monitoring and managing flows
  • 13. Flow of Data in Cognos Analytics 13 Cognos Analytics  Cognos Architecture has a three-tired architecture – web, application, data  Each of the tiers can be separated by a firewall Cognos Analytics, a web-based integrated BI tool, for reporting and analytics
  • 14. Overview 14 • Data Visualization and Tools • Data Visualization • Problem Statement • Introduction to Tools • Gartner Magic Quadrant • Flow of Data • Power BI, Tableau, Cognos Analytics • Tools In Action • Dataset • Dashboard in Power BI • Dashboard in Tableau and Cognos • Qualitative Research and Conclusion • Qualtrics Questionnaire • Responses • Results • Feedback • Conclusion
  • 15. Dataset  Derived from our Factbook  http://techdata.irs.ttu.edu/FactBook/  College  Gender  Ethnicity  Home Origin  Undergraduate Enrollment Count  Graduate Enrollment Count  Law Enrollment Count  Factbook Data  Attributes in Dataset Factsheet 2019, TTU Data from our Factbook was extracted to build our dataset
  • 16. Dashboard in Power BI Click Here: Power BI Demo
  • 17. Dashboard in Tableau and Cognos Click Here: Tableau and Cognos Analytics Demo
  • 18. Overview 18 • Data Visualization and Tools • Data Visualization • Problem Statement • Introduction to Tools • Gartner Magic Quadrant • Flow of Data • Power BI, Tableau, Cognos Analytics • Tools In Action • Dataset • Dashboard in Power BI • Dashboard in Tableau and Cognos • Qualitative Research and Conclusion • Qualtrics Questionnaire • Responses • Results • Feedback • Conclusion
  • 19. Qualtrics Questionnaire Subjective Questions:  Accessibility (Ease of usage)  Connecting to Data  Data preparation/Data cleaning  Security  General Feedback Coded Questions:  Visualization  Use of in-built features  Ease of development  Community Support  Project maintenance  Areas of interest Questionnaire was sent to specific departments within TTU campus
  • 20. Questionnaire Results (Coded Questions)  User Satisfaction Scale Code Category 4 Excellent 3 Good 2 Average 1 Poor Results suggested that Power BI and Tableau are close in our areas of interest while Cognos trails behind.
  • 21. Responses for Power BI (Subjective Questions)  Accessibility (Ease of usage)  “The tool is intuitive, and the online service has the same user-friendly permission management as other Office365 apps.”  Security  “The tools security is good. We can mask the data which we want to present as well so I find it secured.”  Connecting to Data  “Power BI was able to connect to the various data sources I work on so far.”  Data Preparation and Data Cleaning  “Power Bi itself provide data cleaning/prep tools via Power Query.” TableauPower BI Cognos
  • 22. Responses for Tableau (Subjective Questions)  Accessibility (Ease of usage)  “Tableau has a learning curve. Once you understand how the software works, it is easy to use, has a large community to help with questions and a powerful tool for data visualizations.”  Security  “Tableau has good security and so far, have not faced any issues with respect to security concerns.”  Connecting to Data  “I love the connectivity of this tool to various data sources. I use Excel, Data Extracts and MySQL.”  Data Preparation and Data Cleaning  “I've been using Tableau Prep more and more and I find it's a pretty intuitive tool.” TableauPower BI Cognos
  • 23. Responses for Cognos (Subjective Questions)  Accessibility (Ease of usage)  “The UI of the tool feels outdated and have a steeper learning curve than more modern tools, such as Power BI and Tableau.”  Security  “Cognos should be secured as I have accessed it both in network and outside network .”  Connecting to Data  “I would say it was fairly easy to connect the report to the database.”  Data Preparation and Data Cleaning  “Cognos does not offer much flexibility in preparation/Cleaning. All the work done before saves us huge time.” TableauPower BI Cognos
  • 24. Feedback Summary  Power BI  Potential to grow since there are regular updates every month  Smooth integration with other Microsoft tools  Run script directly and import the resulting dataset  Cost-effective and easy to obtain a license  Tableau  Ease of creating Calculated fields and Parameters  Tableau Server and Tableau Online provides easy web access  Higher Cost as compared to alternatives  Time consuming as data preparation required before usage  Cognos Analytics TableauPower BI Cognos  Good for running Excel Reports  Development is time consuming  Tool is not intuitive  Lack of Online Community
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