Data Analytics Basics and Visualization tools (Tableau, Power BI and Qlik)

1. • Karan Menon
• 22nd October 2019
• Tampere
Data-Analytics in
business
development
Karan Menon | 1

2. About Me
Karan Menon
Ø Bachelor’s in Chemical Engineering, India
Ø Master’s in Material Science, Tampere University, Finland
Ø PhD Fellow, Unit of Information and Knowledge Management, Tampere University
Ø Research funded by Business Finland & Academy of Finland Projects, Finnish Cultural Foundation
(Suomen Kulttuurirahasto), The Jenny and Antti Wihuri Foundation (Jenny ja Antti Wihurin rahasto),
The Finnish Foundation for Technology Promotion (Tekniikan Edistämissäätiö)
Ø Topics: Business Data Analytics, Information security management, Industrial Internet, Industry 4.0,
Business Models, Platforms
Email– karan.menon@tuni.fi
Twitter - @menonkaran
Slideshare - https://www.slideshare.net/menonkaran
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3. Agenda
ØWhat is data analytics?
ØBusiness data analytics
ØTypes of analytics
ØAnalytical Tools (Tableau, Power BI, QlikView)
ØConclusions and takeaways
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4. What is data analytics?
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Data on its own is useless unless you can make sense of it!
WHAT IS ANALYTICS?
The scientific process of transforming data into insight for making
better decisions, offering new opportunities for a competitive
advantage

5. Business Data Analytics
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• Organizations have been turning to the use of
analytics.
• More than 83% of Global CIOs surveyed by
IBM in 2010 singled out Business Intelligence
and Analytics as one of their visionary plans
for enhancing competitiveness.
SOLUTION
• The Business environment today is more
complex than ever before.
• Businesses are expected to be diligently
responsive to the increasing demands of
customers, various stakeholders and even
regulators.
BUSINESS NEED
In most cases the primary objective of an
organization that seeks to turn to analytics is:
• Revenue/Profit growth
• Optimize expenditure
GOAL

6. Types of Analytics
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1
32
Analytics
Prescriptive Analytics
Descriptive analytics
Predictive analytics
Enabling smart decisions
based on data
What should we do?
Mining data to provide
business insights
What has happened?
Predicting the future based
on historical patterns
What could happen?

7. Types of Analytics
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Prescriptive
Analytics
advice on possible outcomes
Why do airline prices
change every hour?
Predictive
Analytics
understanding the future
How do grocery cashiers
know to hand you coupons
you might actually use?
Descriptive
Analytics
insight into the past
How does Netflix
frequently recommend
just the right movie?

8. Data analytics technology and tool stack
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Analytical
tools

9. Tableau
• Cool and sexy version of excel’s
PivotTable and PivotChart
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Let Rego be your guide.
y powerful dashboard/data analysis tool. For comparison
r BI and Tableau, please visit:
bleau.com/compare-tableau-power-bi
teps in creating a dashboard remains the same in
are the Tableau Components.
Tableau
Desktop
• Create
• Major data
analysis and
dashboard
creation goes
in here.
Tableau Server
• Share- Web
Tableau Reader
• Share – Local
• Free
Download
Tableau Public
• Share –
Everyone
• Free
Download

10. Tableau Navigation
43
Tableau Navigation
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11. Data Connections in Tableau
| 11Karan Menon Let Rego be your guide.
4
Data Connections
File Connections Server Connections

12. Data Source – Live vs Extract
ØLive
Data source that provides real time or near
real time data to Tableau. Directly connects to
database or other sources.
ØExtract:
A snapshot of data. Extracts that are shared
on the tableau Server can be refreshed
according to a schedule.
Decide based on Performance, Data Security
and Data Consistency considerations.
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13. Data Blending
DATA BLENDING?
ata from multiple data sources into a single view.
nd
ng
Data blending is a way to combine data from
multiple data sources into a single view.
Blend Relationship and How To Blend
• Blue: Primary data source
• Orange: Secondary data source
Links:
• Orange: Use the common field for linking
• Gray: Don’t use the common field for linking
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14. Visual Analytics
using Tableau
• Visual analytics is a field in information
visualization that focuses on analytical
reasoning facilitated and supported by
interactive visual interfaces.
• Humans are very good in solving
complex problems...
But
• Visual representations enhances the
human cognitive process
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15. What can Tableau
offer?
Hierarchies
Groups
Sets
Filters
Reference lines and trend lines to visually
evaluate the plots
Forecasting to make predictions with a
confidence level
Statistical tools like average lines,
median and Box Plots
K-means bundled clustering
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16. Example of a dashboard created using Tableau
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Stories

17. Tableau can do a lot more
• One can do calculations
• Level of detail expressions
• Get geographical granularities
• Collaborate with other users
• Etc etc..
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Level of Detail expressions
introduce the capability to
specify the exact level of
aggregation within a
calculation itself.
LOD expressions
CALCULATIONS SYNTAX

18. Power BI
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19. Power BI tools
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• Front-end (Excel) or Power BI Desktop
• Data shaping and cleanup, self-service ETL (Power Query)
• Data analysis (Power Pivot)
• Visualization and data discovery (Power View, Power Map)
• Dashboarding (Power BI Dashboard)
• Publishing and sharing (Power BI sites)
• Natural language query (Power BI Q&A)
• Mobile (Power BI for Mobile)
• Access on-premise data (DMG, Analysis Services Connector)
• Updated weekly: http://blogs.msdn.com/b/powerbi/archive/tags/weekly+update/
Power
Query
Power
Pivot
Power
View
Power
Map
Power BI
Desktop
Power BI
Dashboard
Power BI website
Power BI
Q&A
Power BI
for mobile

20. Power BI
Dashboard
• Power BI Dashboard: Web-
version
• Pin previously created reports
• Create dashboards and
reports from organizational
contact packs, online services,
files, or SQL Database, SQL
DW, SSAS, Spark on HDInsight
• Q&A built-in
• Can pin Excel ranges (charts,
tables, Pivot tables, Pivot
charts) to dashboard, SSRS
reports (SQL Server 2016)
Power BI Dashboard: Web- version
Pin previously created reports
Create dashboards and reports from
organizational contact packs, online
services, files, or SQL Database, SQL
DW, SSAS, Spark on HDInsight
Q&A built-in
Can pin Excel ranges (charts, tables,
Pivot tables, Pivot charts) to dashboard,
SSRS reports (SQL Server 2016)
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21. Query
• Data shaping and cleanup
• Excel 2016 integrated
• 32-bit or 64-bit
• On-prem only
• Online search
• Public data sources
• External data sources
• Mash with local data
• Filter, shape, clean data
• Load to data model
• Share queries
Data shaping and cleanup
Excel 2016 integrated
32-bit or 64-bit
Online search
Public data sources
External data sources
Mash with local data
Filter, shape, clean data
Load to data model
Share queries
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22. Pivot • Data analysis
• Excel 2016 integrated
• 32-bit or 64-bit
• On-prem only
• Create calculations
• Aggregate sums
• Create relationships
• Hierarchies
• KPIs
• Hide columns
• D e ha e E ce i i
row limit
• In-memory, so fast
• Create data model
Data analysis
Create calculations
Aggregate sums
Create relationships
Hierarchies
KPIs
Hide columns
Does not have Excel’s million row limit
In-memory, so fast
Create data model
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23. View
• Reporting
• Excel 2016
• 32-bit or 64-bit (activate)
• Recommend to use Power
BI Desktop instead
• SharePoint version
• On-prem (Excel and
SharePoint), SharePoint
Online (read-only) and
Power BI Dashboard
(limited functionality)
• Create report
• Legend
• Slicers
• Map
• Play axis, scatter chart
• Interactive
• Presentation-ready
• Easy to use
Reporting
Create report
Legend
Slicers
Map
Play axis, scatter chart
Interactive
Presentation-ready
Easy to use
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24. Map/3D Maps
• Reporting
• Excel 2016 integrated
• On-prem only
• Create interactive tours
• 3D data visualization
• Uses Bing mapsReporting
Create interactive tours
3D data visualization
Uses Bing maps
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25. Power BI Dashboard
andalone
ne state
Create
ed versions
er View
a model,
r BI (on-
ownload
ta ->Files -
sktop File)
and Power
uilt-in)
rkbooks
uery,
wer View
be
must be
sktop an
t be true in
be
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26. Embed Power BI
Integrate Power BI reports into
your web or mobile applications
so you don't need to build
custom solutions to visualize
data for your users
Integrate Power BI reports into your web
or mobile applications
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27. Qlik
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28. Qlik
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STACK
VENDOR BI
• Managed
reporting
IT ROLE
• Data preparation
and governance
+
• Enable business
users to create
their own
analyses
IT ROLE
• Data preparation
and governance
+
• Responsible for
building all the
analyses
END USER
• Pre-calculated
dashboards
BUSINESS USER
• Self-service
analysis
• Create analysis
relevant to specific
business problems
• Change analysis
on the fly
QLIKVIEW
• Dynamic
dashboards
• Search live data
• Any device
OPERATIONAL DATA SOURCES
IT DEPARTMENT
REPORT-CENTRIC ARCHITECTURE
(IT-driven, tightly controlled)
BUSINESS DISCOVERY ARCHITECTURE
(Business user-driven, self-service)

29. Qlik structure and architecture
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EXCEL SQL SAP ERP
ORACLE SALESFORCE
DATA
WAREHOUSE
INFORMATICA
Finance
Marketing
Sales
Operations
Presentation
QLIKVIEW
WEBSERVERBUSINESS DISCOVERY APPS
Application
QLIKVIEW
PUBLISHER
BUSINESS USERS
IT Admins
QVW; QVD files
Windows
Based
File Share
(Optional)
Custom connectors; ODBC;
OLEDB; QVX; XML
Third-Party
Integration:
• Informatica
• Dell
• Boomi
• Sybase
• and many more…
Security
Integration:
• Windows Server
• Tivoli Software
• IBM
OPERATIONAL DATA SOURCES
DataAccess
QLIKVIEW
SERVER
Data / Business
Analysts Developers
QLIKVIEW
MANAGEMENT
CONSOLE
QLIKVIEW
DEVELOPER
Windows IIS

30. Self service discovery and visualization
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31. Conversational analytics and natural language processing
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32. Interactive Dashboards
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33. Reports, Embed, Mobile
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34. Conclusions and takeaways
• There are two things that you can do
1. Define the business problem and let data find a solution for it
2. Explore the data and see what problems it can answer and chose one that gives a good
quick business output
• Solutions such as Tableau, Power BI and Qlik are for your help
• Their job is to visualize complex data
• Remember, you will see what you ask from your data
• No solution is perfect but any of the three discussed today can solve many simple
business problems
• DataàInformationàKnowledgeàWisdom
• These tools will help you visualize the information from your Data
• Knowledge and Wisdom requires HUMAN BEING à Unless you have thought of AI J
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35. Contact Information
Email– karan.menon@tuni.fi
Twitter - @menonkaran
Slideshare - https://www.slideshare.net/menonkaran
Kiitos! Thank you! ध"यवाद
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