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Data Modeling Comparison:
Tableau, Power BI & Cognos
Demos and discussion: approaches, similarities & differences
1
Agenda
• Introduction
• What is Modeling & Transformation
• Comparison demos
• Comparison summary and review
• Senturus overview
• Additional resources
2
3
Introduction
Michael Weinhauer
Director of Training and Content
Senturus, Inc.
3
4
Hundreds of resources
Visit the Resource Library
on the Senturus website
to download this presentation
and explore other assets:
senturus.com/resources
4
Like what you see?
This slide deck is from the webinar Data Modeling
Comparison: Tableau, Power BI & Cognos
To view the FREE video recording and download this deck,
go to https://senturus.com/resources/data-modeling-
comparison-tableau-cognos-and-power-bi/
5
BI design stages
6
Visualize
&
Analyze
Publish
&
Collaborate
- Filter
- Slice
- Interact
- Drill
- Pin
- Collaborate
- Embed
- Analyze
©2020 Senturus, Inc. Any reproduction or distribution of these materials is strictly prohibited
Source
Model &
transform
Visualize
& analyze
Share &
collaborate
Govern
Secure
Administer
Modeling & transformation defined
7
Visualize
&
Analyze
Publish
&
Collaborate
- Filter
- Slice
- Interact
- Drill
- Configure
- Pin
- Collaborate
- Embed
- Export
- Analyze
Creating analysis-friendly data sets (“virtual
stars”)
• Joining, cleaning and otherwise “shaping” data
• Data warehouse + myriad other sources
• Tools have capabilities to prepare and model
data
• Roles are shifting towards self-service
Demonstrations
8
9
• Relational
• Multidimensional
• ODBC
• JDBC
• SAP
• XML
• Salesforce
• Data sets
• Other metadata sources
Source - Cognos Framework Manager
client
10
• Relational
• Multidimensional
• Cloud
• SAP
• Teradata
• Salesforce
• Data sets
• Flat files
• XLS
Source - Cognos Framework Manager
Existing data modules
Pre-configured database
connections
Files (Excel, CSV)
Data sets
Packages
Source - Cognos data modules
11
12
Source – Cognos options diagram
Cognos11.1
Data module
modeling instead of
FM
Summaries for
performance
Integrate other
data sources
OLAP
Flat Files
Other Sources
Databases
Source – Tableau
13
• Spatial
• JSON
• Python (TabPy)
• PDF
• Application specific
• Live or extract
• Relational
• Multidimensional
• ODBC
• JDBC
• SAP
• Flat files
• Statistical
Source – Tableau Prep
14
• Relational
• Multidimensional
• ODBC
• JDBC
• SAP
• Flat files
• Statistical
• PDF
• Application specific
Source – Power BI
15
• Relational
• Multidimensional
• ODBC
• JDBC
• SAP
• Flat files
• Statistical
• JSON
• PDF
• Python
• Web URL
• SaaS
applications
Multi-tier design
Namespaces and folders used to organize “query
subjects”
Allows for multiple layers of abstraction and
organization
Model dimensionally
16
Model & transform – Cognos
Framework Manager
Set format, aggregations, data types, etc.
17
Model & transform – Cognos
Framework Manager
Resolve potentially complex design issues
Join ambiguity and “loops”
Recursive joins
Multiple logical hierarchies
Fact-to-fact (many-to-many) joins
Blind spot queries
Role-playing dimensions
18
Model & transform – Cognos
Framework Manager
Apply package and object-level security
Set governors
Set query timeouts
Allow/disallow cross-product joins
Allow/disallow outer joins
Set large text item limits
Model & transform – Cognos
Framework Manager
19
Enjoy the full webinar presentation
To view the video recording and download the slide
deck go to https://senturus.com/resources/data-modeling-
comparison-tableau-cognos-and-power-bi/
Visit our website to access our library of free BI
knowledge resources including events, blogs, demos,
whitepapers, other on-demand webinars and our
dashboard gallery https://senturus.com/senturus-
resources/
20
Publish packages for use by authors
21
Model & transform – Cognos
Framework Manager
Self-service web-based modeling
Model & transform – Cognos data
modules
22
Create relationships
Filter data
Format
Split
Clean
Change data type
Create hierarchies
Define security*
Combine sources
Organize
“Intent” – AI/keyword search model
suggestions
Model & transform – Cognos data
modules
23
Model & transform – Tableau
24
Single pane (per
data source)
View properties
by selecting
“describe”
• Splitting
•String fields can be split into
multiple fields for easier analysis
•Automatic or custom split
options
•Split based on a common
separator
• Aliasing
•Roles – i.e., time (ship
date/order date)
•Binning (high/low sales)
25
Model & transform – Tableau
• Renaming
• Data typing
• Geographic roles
• Calculations
• Pivoting
• Data interpreter
• Hierarchies – basic
• Time intelligence
Model & transform – Tableau Prep
26
Visual data
preparation tool
AI/fuzzy logic driven
Tableau-centric –
currently outputs
only to flat file or
extract
27
1
2
3
4
1 Ribbon (Home,
Transform, etc.)
2 Queries pane
3 Query settings pane
4 Data preview of table
Model & transform – Power BI query
editor layout
28
1 Query context menu
2 Table context menu
3 Column data type context menu
4 Column context menu
1
3
2
4
Model & transform – Power BI query
editor layout
Model & transform – Power BI data
view
29
Inspection
Exploration
Understanding
Model & transform – Power BI model
view
30
Break out
complex models
into separate
diagrams
View and modify
properties
Set display folders
to simplify
navigation
31
Comparison of basic modeling &
transformation capabilities
Tableau Desktop Tableau Prep Power BI Desktop Power BI Data Flows Cognos FM Cognos DM
Join      
Union      
Data type      
Split     * 
Aggregate      
Rename      
Calculations      
Filter      
Hierarchies  x    
Composite/federate      
Custom SQL      
Stored procedures  x  x  x
* Calculation only
32
Comparison of advanced modeling &
transformation capabilities
Tableau Desktop Tableau Prep Power BI Desktop Power BI Data Flows Cognos FM Cognos DM
Remove rows     x x
Replace/clean     x 
Intelligent grouping     x 
Auto-binning     x 
Fill x x   x x
Pivot/unpivot x    x x
Security  x    **
Aggregate aware x x   x x
Script (R/Python)     x 
Product Strength ** Database sources only
33
Comparison of other modeling &
transformation capabilities
Tableau Desktop Tableau Prep Power BI Desktop Power BI Data Flows Cognos FM Cognos DM
Query/storage options Live/Extract Extract Direct/import/hybrid Direct/import/hybrid Live Live/Data Set
Lineage Catalog Catalog x x  
AI/ML/Fuzzy Logic M&T x  x x x Intent
Version control  x x x  x
Summary
34
Lots of ways to get from point A to point B
You can probably get there with any of the tools
Question of, among other things:
Analytics culture (self-service vs. centralized)
Skillsets
Tool choice
Use cases/business requirements
Data source(s)
Next steps
•Related resources
•Enterprise security: Tableau vs. Power BI
•Dashboarding Comparison: Power BI, Tableau & Cognos
•Training
•Tableau, Power BI & Cognos
•Ad hoc support
•On-demand support/bucket of hours
35
Answers to your questions
36
Data modeling questions and answers
37
Q: Are there are any templates or standard business content for Cognos
reporting with JDE? Or with Cognos Framework Manager data models for JDE
line of business areas?
A: We know that is a common combo/use case. We've done a lot of work with
Cognos and JDE. If there isn't a template out there -- we should create one and
will look into that.
Q: We use Transformer based packages with data modules, can we re-model
the data using the data module?
A: Transformer (PowerCube) packages are not supported in data modules at
this time (nor are DMR).
Q: What version and release Cognos Analytics are you using for the demo?
A: We used 11.1.4.
Data modeling questions and answers
38
Q: In IBM Cognos Analytics is it possible to include a view in my data module? I
am using a SQL Server database, when I set up my source, I do not see the
views even though the schema is dbo.
A: Yes, views are supported.
Q: Why should we continue to use Framework Manager if data modules are
available?
A: Data modules still don’t have all the functionality of Framework Manager.
That said, data modules are the strategic direction for IBM, with FM going into
maintenance mode, where new functionality will no longer be added. New
functionality will continue to be added to data modules, so eventually it will be
on par and/or surpass FM.
Data modeling questions and answers
39
Q: Is it possible to get the Tableau and Power BI expand/collapse in lists and
crosstab in Cognos?
A: No, it would be really nice. People have been asking IBM that for years,
we’re not sure why they haven’t added it.
Q: Does Cognos have an alternative to Power BI datasets, specifically with
regard to storing data offline from the data source?
A: Yes, you can create datasets in Cognos, which are columnar files stored on
the Cognos server that behave very much like Power BI imports or Tableau
extracts.
Q: Why have you not mentioned using Cognos OLAP TM1 engine and only
Cognos Framework Manager?
A: The skills and separate tools required to create these cubes make that a non-
trivial effort.
Data modeling questions and answers
40
Q: Does Cognos have the capability to do high-level transformations?
A; Yes, while Cognos has a lot of modeling capabilities, it has not focused
heavily on transforms, which tend to be used more often on file-based data
sources.
Q: Can I easily upload Excel files with multiple tabs?
A: Yes, you can upload multiple sheets in a workbook into Cognos. What
Cognos cannot do is transform that Excel report format into a structure that
could be used as a dataset (i.e., unpivot columns, promote row to header,
fill).
Data modeling questions and answers
41
Q: Do you know whether Cognos is planning on including data prep in the
future?
A: We believe the IBM product team is building data prep out in data modules
and plan to continue adding data modules functionality.
Q: Can I use any of these tools to script in or integrate with R Shiny vs.
generic R?
A: We don’t think either tool supports that presently, although you can embed
a URL call to a Shiny app in either tool.
Enjoy the full webinar presentation
To view the video recording and download the slide
deck go to https://senturus.com/resources/data-modeling-
comparison-tableau-cognos-and-power-bi/
Visit our website to access our library of free BI
knowledge resources including events, blogs, demos,
whitepapers, other on-demand webinars and our
dashboard gallery https://senturus.com/senturus-
resources/
42
Next steps
•Related resources
•Enterprise security: Tableau vs. Power BI
•Dashboarding Comparison: Power BI, Tableau & Cognos
•Training
•Tableau, Power BI & Cognos
•Ad hoc support
•On-demand support/bucket of hours
43
The authority in
Business Intelligence
Exclusively focused on BI,
Senturus is unrivaled in its
expertise across the BI stack
44
Decisions & actionsBusiness needs
Bridging the data & decisioning gap
45
Analysis-ready data
Full spectrum of BI services
• Dashboards, reporting and visualizations
• Data preparation and modern data warehousing
• Hybrid BI environments (migrations, security, etc.)
• Software to enable bimodal BI and platform migrations
• BI support retainer (expertise on demand)
• Training and mentoring
46
A long, strong history of success
• 19+ years
• 1300+ clients
• 2500+ projects
47
Expand your
knowledge
Find more resources
on the Senturus website:
senturus.com/senturus-resources
48
Upcoming events
•Using New Cognos KPI Capability & Relative Time Structures
•Live demo and how-to of the best new features in Cognos
•Thursday, Jan. 26, 2020, 11am PT/2pm ET
•How to Share Power BI Datasets: Dataflows and Certified Datasets
•Demo and discussion of how to extend enterprise sharing in Power BI Desktop
•Thursday, Feb. 6, 2020, 11am PT/2pm ET
49
Complete BI training offerings
50
Instructor-led online courses Self-paced learning
MentoringTailored group sessions
Additional resources from Senturus
51
Insider viewpointsTechnical tipsUnbiased product reviews
Product demos Upcoming eventsMore on this subject
© 2020 by Senturus, Inc. This presentation may not be reused or distributed without the written consent of Senturus, Inc.
www.senturus.com 888 601 6010 info@senturus.com
Thank You
Michael Weinhauer
mweinhauer@senturus.com 415 264 8402

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Data Modeling Comparison: Tableau, Cognos and Power BI

  • 1. Data Modeling Comparison: Tableau, Power BI & Cognos Demos and discussion: approaches, similarities & differences 1
  • 2. Agenda • Introduction • What is Modeling & Transformation • Comparison demos • Comparison summary and review • Senturus overview • Additional resources 2
  • 3. 3 Introduction Michael Weinhauer Director of Training and Content Senturus, Inc. 3
  • 4. 4 Hundreds of resources Visit the Resource Library on the Senturus website to download this presentation and explore other assets: senturus.com/resources 4
  • 5. Like what you see? This slide deck is from the webinar Data Modeling Comparison: Tableau, Power BI & Cognos To view the FREE video recording and download this deck, go to https://senturus.com/resources/data-modeling- comparison-tableau-cognos-and-power-bi/ 5
  • 6. BI design stages 6 Visualize & Analyze Publish & Collaborate - Filter - Slice - Interact - Drill - Pin - Collaborate - Embed - Analyze ©2020 Senturus, Inc. Any reproduction or distribution of these materials is strictly prohibited Source Model & transform Visualize & analyze Share & collaborate Govern Secure Administer
  • 7. Modeling & transformation defined 7 Visualize & Analyze Publish & Collaborate - Filter - Slice - Interact - Drill - Configure - Pin - Collaborate - Embed - Export - Analyze Creating analysis-friendly data sets (“virtual stars”) • Joining, cleaning and otherwise “shaping” data • Data warehouse + myriad other sources • Tools have capabilities to prepare and model data • Roles are shifting towards self-service
  • 9. 9 • Relational • Multidimensional • ODBC • JDBC • SAP • XML • Salesforce • Data sets • Other metadata sources Source - Cognos Framework Manager client
  • 10. 10 • Relational • Multidimensional • Cloud • SAP • Teradata • Salesforce • Data sets • Flat files • XLS Source - Cognos Framework Manager
  • 11. Existing data modules Pre-configured database connections Files (Excel, CSV) Data sets Packages Source - Cognos data modules 11
  • 12. 12 Source – Cognos options diagram Cognos11.1 Data module modeling instead of FM Summaries for performance Integrate other data sources OLAP Flat Files Other Sources Databases
  • 13. Source – Tableau 13 • Spatial • JSON • Python (TabPy) • PDF • Application specific • Live or extract • Relational • Multidimensional • ODBC • JDBC • SAP • Flat files • Statistical
  • 14. Source – Tableau Prep 14 • Relational • Multidimensional • ODBC • JDBC • SAP • Flat files • Statistical • PDF • Application specific
  • 15. Source – Power BI 15 • Relational • Multidimensional • ODBC • JDBC • SAP • Flat files • Statistical • JSON • PDF • Python • Web URL • SaaS applications
  • 16. Multi-tier design Namespaces and folders used to organize “query subjects” Allows for multiple layers of abstraction and organization Model dimensionally 16 Model & transform – Cognos Framework Manager
  • 17. Set format, aggregations, data types, etc. 17 Model & transform – Cognos Framework Manager
  • 18. Resolve potentially complex design issues Join ambiguity and “loops” Recursive joins Multiple logical hierarchies Fact-to-fact (many-to-many) joins Blind spot queries Role-playing dimensions 18 Model & transform – Cognos Framework Manager
  • 19. Apply package and object-level security Set governors Set query timeouts Allow/disallow cross-product joins Allow/disallow outer joins Set large text item limits Model & transform – Cognos Framework Manager 19
  • 20. Enjoy the full webinar presentation To view the video recording and download the slide deck go to https://senturus.com/resources/data-modeling- comparison-tableau-cognos-and-power-bi/ Visit our website to access our library of free BI knowledge resources including events, blogs, demos, whitepapers, other on-demand webinars and our dashboard gallery https://senturus.com/senturus- resources/ 20
  • 21. Publish packages for use by authors 21 Model & transform – Cognos Framework Manager
  • 22. Self-service web-based modeling Model & transform – Cognos data modules 22
  • 23. Create relationships Filter data Format Split Clean Change data type Create hierarchies Define security* Combine sources Organize “Intent” – AI/keyword search model suggestions Model & transform – Cognos data modules 23
  • 24. Model & transform – Tableau 24 Single pane (per data source) View properties by selecting “describe”
  • 25. • Splitting •String fields can be split into multiple fields for easier analysis •Automatic or custom split options •Split based on a common separator • Aliasing •Roles – i.e., time (ship date/order date) •Binning (high/low sales) 25 Model & transform – Tableau • Renaming • Data typing • Geographic roles • Calculations • Pivoting • Data interpreter • Hierarchies – basic • Time intelligence
  • 26. Model & transform – Tableau Prep 26 Visual data preparation tool AI/fuzzy logic driven Tableau-centric – currently outputs only to flat file or extract
  • 27. 27 1 2 3 4 1 Ribbon (Home, Transform, etc.) 2 Queries pane 3 Query settings pane 4 Data preview of table Model & transform – Power BI query editor layout
  • 28. 28 1 Query context menu 2 Table context menu 3 Column data type context menu 4 Column context menu 1 3 2 4 Model & transform – Power BI query editor layout
  • 29. Model & transform – Power BI data view 29 Inspection Exploration Understanding
  • 30. Model & transform – Power BI model view 30 Break out complex models into separate diagrams View and modify properties Set display folders to simplify navigation
  • 31. 31 Comparison of basic modeling & transformation capabilities Tableau Desktop Tableau Prep Power BI Desktop Power BI Data Flows Cognos FM Cognos DM Join       Union       Data type       Split     *  Aggregate       Rename       Calculations       Filter       Hierarchies  x     Composite/federate       Custom SQL       Stored procedures  x  x  x * Calculation only
  • 32. 32 Comparison of advanced modeling & transformation capabilities Tableau Desktop Tableau Prep Power BI Desktop Power BI Data Flows Cognos FM Cognos DM Remove rows     x x Replace/clean     x  Intelligent grouping     x  Auto-binning     x  Fill x x   x x Pivot/unpivot x    x x Security  x    ** Aggregate aware x x   x x Script (R/Python)     x  Product Strength ** Database sources only
  • 33. 33 Comparison of other modeling & transformation capabilities Tableau Desktop Tableau Prep Power BI Desktop Power BI Data Flows Cognos FM Cognos DM Query/storage options Live/Extract Extract Direct/import/hybrid Direct/import/hybrid Live Live/Data Set Lineage Catalog Catalog x x   AI/ML/Fuzzy Logic M&T x  x x x Intent Version control  x x x  x
  • 34. Summary 34 Lots of ways to get from point A to point B You can probably get there with any of the tools Question of, among other things: Analytics culture (self-service vs. centralized) Skillsets Tool choice Use cases/business requirements Data source(s)
  • 35. Next steps •Related resources •Enterprise security: Tableau vs. Power BI •Dashboarding Comparison: Power BI, Tableau & Cognos •Training •Tableau, Power BI & Cognos •Ad hoc support •On-demand support/bucket of hours 35
  • 36. Answers to your questions 36
  • 37. Data modeling questions and answers 37 Q: Are there are any templates or standard business content for Cognos reporting with JDE? Or with Cognos Framework Manager data models for JDE line of business areas? A: We know that is a common combo/use case. We've done a lot of work with Cognos and JDE. If there isn't a template out there -- we should create one and will look into that. Q: We use Transformer based packages with data modules, can we re-model the data using the data module? A: Transformer (PowerCube) packages are not supported in data modules at this time (nor are DMR). Q: What version and release Cognos Analytics are you using for the demo? A: We used 11.1.4.
  • 38. Data modeling questions and answers 38 Q: In IBM Cognos Analytics is it possible to include a view in my data module? I am using a SQL Server database, when I set up my source, I do not see the views even though the schema is dbo. A: Yes, views are supported. Q: Why should we continue to use Framework Manager if data modules are available? A: Data modules still don’t have all the functionality of Framework Manager. That said, data modules are the strategic direction for IBM, with FM going into maintenance mode, where new functionality will no longer be added. New functionality will continue to be added to data modules, so eventually it will be on par and/or surpass FM.
  • 39. Data modeling questions and answers 39 Q: Is it possible to get the Tableau and Power BI expand/collapse in lists and crosstab in Cognos? A: No, it would be really nice. People have been asking IBM that for years, we’re not sure why they haven’t added it. Q: Does Cognos have an alternative to Power BI datasets, specifically with regard to storing data offline from the data source? A: Yes, you can create datasets in Cognos, which are columnar files stored on the Cognos server that behave very much like Power BI imports or Tableau extracts. Q: Why have you not mentioned using Cognos OLAP TM1 engine and only Cognos Framework Manager? A: The skills and separate tools required to create these cubes make that a non- trivial effort.
  • 40. Data modeling questions and answers 40 Q: Does Cognos have the capability to do high-level transformations? A; Yes, while Cognos has a lot of modeling capabilities, it has not focused heavily on transforms, which tend to be used more often on file-based data sources. Q: Can I easily upload Excel files with multiple tabs? A: Yes, you can upload multiple sheets in a workbook into Cognos. What Cognos cannot do is transform that Excel report format into a structure that could be used as a dataset (i.e., unpivot columns, promote row to header, fill).
  • 41. Data modeling questions and answers 41 Q: Do you know whether Cognos is planning on including data prep in the future? A: We believe the IBM product team is building data prep out in data modules and plan to continue adding data modules functionality. Q: Can I use any of these tools to script in or integrate with R Shiny vs. generic R? A: We don’t think either tool supports that presently, although you can embed a URL call to a Shiny app in either tool.
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  • 43. Next steps •Related resources •Enterprise security: Tableau vs. Power BI •Dashboarding Comparison: Power BI, Tableau & Cognos •Training •Tableau, Power BI & Cognos •Ad hoc support •On-demand support/bucket of hours 43
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  • 52. © 2020 by Senturus, Inc. This presentation may not be reused or distributed without the written consent of Senturus, Inc. www.senturus.com 888 601 6010 info@senturus.com Thank You Michael Weinhauer mweinhauer@senturus.com 415 264 8402