SlideShare a Scribd company logo
Vitaliy Rudnytskiy, SAP
@Sygyzmundovych
Data Visualization and Discovery
© 2011 SAP AG. All rights reserved. 1
Let’s talk about:
- What and why
- A bit of history
- Data Visual and
Discovery from SAP
- What’s coming…
© 2011 SAP AG. All rights reserved. 2
Let’s start with…
- … introduction :)
- Vitaliy Rudnytskiy
@Sygyzmundovych
- SAP’s Developer Relations team
- 12 years as a BI Technology Consultant
- SAP Mentor 2010-2014
- Self-proclaimed King of Data Geeks 
- Based in Wrocław
Self-service analytics
© 2011 SAP AG. All rights reserved. 5
For both Enterprise BI and Trusted Data Discovery…
Trusted Data DiscoveryEnterprise BI
© 2011 SAP AG. All rights reserved. 6
Analytics
"SAP has continued investing in new
capabilities with a number of potential
differentiators. For instance: SAP
Lumira's advanced self-service data
preparation and infographics features;
smart data discovery, by integrating
Predictive Analytics (SAP's advanced
analytics platform acquired from
KXEN) and Lumira; governed data
discovery, by integrating SAP Lumira
with SAP BusinessObjects Enterprise,
and integration with SAP HANA."
~Gartner
Visualization: A bit of theory
© 2011 SAP AG. All rights reserved. 10
Picture Superiority Effect – Understanding numbers
© 2011 SAP AG. All rights reserved. 11
Picture Superiority Effect - Remembering
„Cool Infographics: Effective Communication with Data Visualization and Design” by Randy Krum, John Wiley & Sons © 2014
after: „Brain Rules: 12 Principles for Surviving and Thriving at Work, Home, and School” by John Medina, Pear Press © 2008
© 2011 SAP AG. All rights reserved. 12
Picture Superiority Effect - Context
based on „SAP Lumira: Data Visualization Handbook” and other
Data Visualization: Shapes and colours
source: http://christinaducruet.com/blog/?p=107
© 2011 SAP AG. All rights reserved. 14
Visual Perception
Source: „SAP Lumira Data Visualization Handbook” http://getlumira.sapstore.com/data-visualization-handbook/
© 2011 SAP AG. All rights reserved. 15
Chart Chooser
Source: http://www.extremepresentation.typepad.com/blog/2008/06/visualization-taxonomies.html
© 2011 SAP AG. All rights reserved. 16
Human eye can distinguish betwen 7-10 milion colors
How many can you?
source: https://en.wikipedia.org/wiki/Color_vision#/media/File:1Mcolors.png
© 2011 SAP AG. All rights reserved. 18
Primary colors
Subtractive colours –
cyan, magenta and yellow –
combine to form black
Additive colours –
red, green and blue –
reduce to produce white
source: http://designingfortheweb.co.uk/part4/part4_chapter16.php
© 2011 SAP AG. All rights reserved. 21
The Colour Wheel
© 2011 SAP AG. All rights reserved. 22
Example: SAP  Brand Elements  Visual  Color Palette
Our range of primary colors consists
of SAP Gold, white, black and the
supportive neutral colors (SAP light,
medium and dark gray)
We use our secondary color palette
for graphs and tables, as well as for
accent and highlighting purposes
https://www.sapbrandtools.com/color-palette/#palette-details
based on „The Visual display of Quantitive Information” by Edward Tufte, 1982/2001
Data Visualization: A bit of history
based on „The Visual display of Quantitive Information” by Edward Tufte, 1982/2001
Small Lies, Big Lies, or Manipulating the Truth
DataStorytelling…
© 2011 SAP AG. All rights reserved. 54
Tell your Story with SAP Lumira Infographics
Let’s move to modern times:
SAP BusinessObjects Lumira
© 2011 SAP AG. All rights reserved. 56
SAP Analytics solutions
Trusted data discovery
Instant insight for decision makers
Agility for analysts
Trust and scale for IT
Agile
Visualization
Advanced
Analytics
Enterprise
Business Intelligence
© 2011 SAP AG. All rights reserved. 57
Agile Visualization
Agile Visualization
Intuitively explore and communicate data
to reveal new insights at-a-glance
Agile
Visualization
Advanced
Analytics
Enterprise
Business Intelligence
© 2011 SAP AG. All rights reserved. 58
SAP Lumira
Product description
Transform data
 Acquire data from corporate, personal and web sources
 Acquire data from custom sources with extensions
 Quickly cleanse, combine and enrich data
Visualize and discover insights
 Rich library of chart types
 Extend, embed and customize with extensions
 Discover related insights and influencers
Share beautiful stories
 Build engaging stories that highlight KPIs
 Share insights on mobile, browser and desktop
Visualize your data, discover new insights, and share beautiful stories
© 2011 SAP AG. All rights reserved. 59
SAP Lumira
On mobile, browser, and desktop
DesktopBrowserMobile
© 2011 SAP AG. All rights reserved. 60
Trusted Data Discovery
Customers want:
AGILITY for business users
+
The ability to SCALE and GOVERN BI
strategically across the organization.
+
INNOVATION
AgilityforBusinessUsers
Enterprise scale and governance
Excel
Data
Discovery
Enterprise BI
Trusted Data
Discovery
Customer
Let’s move to future
© 2011 SAP AG. All rights reserved. 64
Now the spotlight is on you!
Do you want to
leave your mark
in the history of
visualization??
Thank you!
Dziękuję
Contact information:
Vitaliy Rudnytskiy, SAP
vitaliy.rudnytskiy@sap.com
@Sygyzmundovych

More Related Content

What's hot

Summary of all tools and microsoft power bi
Summary of all tools and microsoft power biSummary of all tools and microsoft power bi
Summary of all tools and microsoft power bi
Omar Khan
 
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Nicolas Georgeault
 
SiSense Overview
SiSense OverviewSiSense Overview
SiSense Overview
Bruno Aziza
 
Viewbix tracking journey
Viewbix tracking journeyViewbix tracking journey
Viewbix tracking journey
idan_by
 

What's hot (19)

Let's analyze how world reacts to road traffic by sentiment analysis final
Let's analyze how world reacts to road traffic by sentiment analysis finalLet's analyze how world reacts to road traffic by sentiment analysis final
Let's analyze how world reacts to road traffic by sentiment analysis final
 
Neo4j GraphTour New York_Realogy Presentation
Neo4j GraphTour New York_Realogy Presentation Neo4j GraphTour New York_Realogy Presentation
Neo4j GraphTour New York_Realogy Presentation
 
Data Semantics - Corporate Profile
Data Semantics - Corporate Profile Data Semantics - Corporate Profile
Data Semantics - Corporate Profile
 
Summary of all tools and microsoft power bi
Summary of all tools and microsoft power biSummary of all tools and microsoft power bi
Summary of all tools and microsoft power bi
 
Understanding Cortana Intelligence Suite & Power BI Demo
Understanding Cortana Intelligence Suite & Power BI DemoUnderstanding Cortana Intelligence Suite & Power BI Demo
Understanding Cortana Intelligence Suite & Power BI Demo
 
Presentation Introduction to Alteryx
Presentation Introduction to AlteryxPresentation Introduction to Alteryx
Presentation Introduction to Alteryx
 
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
 
Tools and techniques for predictive analytics
Tools and techniques for predictive analyticsTools and techniques for predictive analytics
Tools and techniques for predictive analytics
 
SiSense Overview
SiSense OverviewSiSense Overview
SiSense Overview
 
Business Intelligence: Leveraging SharePoint to drive business results
Business Intelligence: Leveraging SharePoint to drive business resultsBusiness Intelligence: Leveraging SharePoint to drive business results
Business Intelligence: Leveraging SharePoint to drive business results
 
1 pager ravi iyer - visual resume
1 pager ravi iyer - visual resume1 pager ravi iyer - visual resume
1 pager ravi iyer - visual resume
 
Viewbix tracking journey
Viewbix tracking journeyViewbix tracking journey
Viewbix tracking journey
 
CIO Leadership Summit 2018 - From Digital to Intelligent Enterprise
CIO Leadership Summit 2018 - From Digital to Intelligent EnterpriseCIO Leadership Summit 2018 - From Digital to Intelligent Enterprise
CIO Leadership Summit 2018 - From Digital to Intelligent Enterprise
 
Infographic: The Road to Data-Driven Decision Making
Infographic:  The Road to Data-Driven Decision MakingInfographic:  The Road to Data-Driven Decision Making
Infographic: The Road to Data-Driven Decision Making
 
obzen Business Analytics(Big Data with R, Hadoop)
obzen Business Analytics(Big Data with R, Hadoop)obzen Business Analytics(Big Data with R, Hadoop)
obzen Business Analytics(Big Data with R, Hadoop)
 
"Building Data Foundations and Analytics Tools Across The Product" by Crystal...
"Building Data Foundations and Analytics Tools Across The Product" by Crystal..."Building Data Foundations and Analytics Tools Across The Product" by Crystal...
"Building Data Foundations and Analytics Tools Across The Product" by Crystal...
 
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
 
Data Hero: Business Intelligence & Aesthetically Pleasing Visualizations Are...
Data Hero:  Business Intelligence & Aesthetically Pleasing Visualizations Are...Data Hero:  Business Intelligence & Aesthetically Pleasing Visualizations Are...
Data Hero: Business Intelligence & Aesthetically Pleasing Visualizations Are...
 
Girish Sathyanarayana, Senior Data Scientist at AppLift, " Business Value Thr...
Girish Sathyanarayana, Senior Data Scientist at AppLift, " Business Value Thr...Girish Sathyanarayana, Senior Data Scientist at AppLift, " Business Value Thr...
Girish Sathyanarayana, Senior Data Scientist at AppLift, " Business Value Thr...
 

Similar to Data Visualization

Data Visualization and Discovery
Data Visualization and DiscoveryData Visualization and Discovery
Data Visualization and Discovery
Abdulbasit Gulsen
 
2012 - Selecting the right BI product based on your requirements %28updated v...
2012 - Selecting the right BI product based on your requirements %28updated v...2012 - Selecting the right BI product based on your requirements %28updated v...
2012 - Selecting the right BI product based on your requirements %28updated v...
emceemouli
 

Similar to Data Visualization (20)

New BI Tools with HANA
New BI Tools with HANANew BI Tools with HANA
New BI Tools with HANA
 
#askSAP Analytics Innovation Community Call: Self-Service BI and SAP Lumira
#askSAP Analytics Innovation Community Call: Self-Service BI and SAP Lumira#askSAP Analytics Innovation Community Call: Self-Service BI and SAP Lumira
#askSAP Analytics Innovation Community Call: Self-Service BI and SAP Lumira
 
Applications Mobiles et Analytiques avec SAP HANA Cloud Platform
Applications Mobiles et Analytiques avec SAP HANA Cloud PlatformApplications Mobiles et Analytiques avec SAP HANA Cloud Platform
Applications Mobiles et Analytiques avec SAP HANA Cloud Platform
 
Self-service data discovery for business users and analysts using SAP Lumira
Self-service data discovery for business users and analysts using SAP LumiraSelf-service data discovery for business users and analysts using SAP Lumira
Self-service data discovery for business users and analysts using SAP Lumira
 
HANA SPS07 Business Intelligence
HANA SPS07 Business Intelligence HANA SPS07 Business Intelligence
HANA SPS07 Business Intelligence
 
sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)
 
The Power of Collective Insight with SAP BI
The Power of Collective Insight with SAP BIThe Power of Collective Insight with SAP BI
The Power of Collective Insight with SAP BI
 
Expert recommendations for picking the right SAP BusinessObjects BI solution ...
Expert recommendations for picking the right SAP BusinessObjects BI solution ...Expert recommendations for picking the right SAP BusinessObjects BI solution ...
Expert recommendations for picking the right SAP BusinessObjects BI solution ...
 
Data Visualization and Discovery
Data Visualization and DiscoveryData Visualization and Discovery
Data Visualization and Discovery
 
Business intelligence in the era of big data
Business intelligence in the era of big dataBusiness intelligence in the era of big data
Business intelligence in the era of big data
 
2012 - Selecting the right BI product based on your requirements %28updated v...
2012 - Selecting the right BI product based on your requirements %28updated v...2012 - Selecting the right BI product based on your requirements %28updated v...
2012 - Selecting the right BI product based on your requirements %28updated v...
 
0308 crystal reports in the business objects intelligence 41 ecosystem
0308 crystal reports in the business objects intelligence 41 ecosystem0308 crystal reports in the business objects intelligence 41 ecosystem
0308 crystal reports in the business objects intelligence 41 ecosystem
 
Webinar SAP BusinessObjects Cloud (English)
Webinar SAP BusinessObjects Cloud (English)Webinar SAP BusinessObjects Cloud (English)
Webinar SAP BusinessObjects Cloud (English)
 
Wroclaw SAP Meetup 2019/02
Wroclaw SAP Meetup 2019/02Wroclaw SAP Meetup 2019/02
Wroclaw SAP Meetup 2019/02
 
How To Convert Your SAP BusinessObjects Unused Licenses To SAP Analytics Cloud
How To Convert Your SAP BusinessObjects Unused Licenses To SAP Analytics CloudHow To Convert Your SAP BusinessObjects Unused Licenses To SAP Analytics Cloud
How To Convert Your SAP BusinessObjects Unused Licenses To SAP Analytics Cloud
 
#askSAP Analytics Innovations Community Call: SAP 2018 strategy and Roadmap f...
#askSAP Analytics Innovations Community Call: SAP 2018 strategy and Roadmap f...#askSAP Analytics Innovations Community Call: SAP 2018 strategy and Roadmap f...
#askSAP Analytics Innovations Community Call: SAP 2018 strategy and Roadmap f...
 
SAP Leonardo / Machine Learning (Iver van de Zand)
SAP Leonardo / Machine Learning (Iver van de Zand)SAP Leonardo / Machine Learning (Iver van de Zand)
SAP Leonardo / Machine Learning (Iver van de Zand)
 
How to Convert Your SAP BusinessObjects Unused Licenses to SAP Analytics Cloud
How to Convert Your SAP BusinessObjects Unused Licenses to SAP Analytics CloudHow to Convert Your SAP BusinessObjects Unused Licenses to SAP Analytics Cloud
How to Convert Your SAP BusinessObjects Unused Licenses to SAP Analytics Cloud
 
SAP’s vision and strategy on BI & BIG (and small) data
SAP’s vision and strategy on BI & BIG (and small) dataSAP’s vision and strategy on BI & BIG (and small) data
SAP’s vision and strategy on BI & BIG (and small) data
 
26764 Waldemar Adams 151116 BCN SAP Select
26764 Waldemar Adams 151116 BCN SAP Select26764 Waldemar Adams 151116 BCN SAP Select
26764 Waldemar Adams 151116 BCN SAP Select
 

More from Vitaliy Rudnytskiy

More from Vitaliy Rudnytskiy (20)

SIT Wrocław 2019 - Intro
SIT Wrocław 2019 - IntroSIT Wrocław 2019 - Intro
SIT Wrocław 2019 - Intro
 
Wrocław SAP Meetup - 2018/02
Wrocław SAP Meetup - 2018/02Wrocław SAP Meetup - 2018/02
Wrocław SAP Meetup - 2018/02
 
Gentle Introduction into Geospatial (using SQL in SAP HANA)
Gentle Introduction into Geospatial (using SQL in SAP HANA)Gentle Introduction into Geospatial (using SQL in SAP HANA)
Gentle Introduction into Geospatial (using SQL in SAP HANA)
 
IoT at Scale
IoT at ScaleIoT at Scale
IoT at Scale
 
Welcome to SAP Community of Developers!
Welcome to SAP Community of Developers!Welcome to SAP Community of Developers!
Welcome to SAP Community of Developers!
 
Wroclaw SAP Meetup 2017/10
Wroclaw SAP Meetup 2017/10Wroclaw SAP Meetup 2017/10
Wroclaw SAP Meetup 2017/10
 
SAP Vora CodeJam
SAP Vora CodeJamSAP Vora CodeJam
SAP Vora CodeJam
 
SAP HANA and SAP Vora
SAP HANA and SAP VoraSAP HANA and SAP Vora
SAP HANA and SAP Vora
 
Mobile of People and Internet of Things: State of the Union
Mobile of People and Internet of Things: State of the UnionMobile of People and Internet of Things: State of the Union
Mobile of People and Internet of Things: State of the Union
 
Wroclaw SAP Meetup - 2017/01
Wroclaw SAP Meetup - 2017/01Wroclaw SAP Meetup - 2017/01
Wroclaw SAP Meetup - 2017/01
 
Wroclaw SAP Meetup - 2016/10
Wroclaw SAP Meetup - 2016/10Wroclaw SAP Meetup - 2016/10
Wroclaw SAP Meetup - 2016/10
 
Quantify your drive: IoT on a personal scale with SAP technologies
Quantify your drive: IoT on a personal scale with SAP technologiesQuantify your drive: IoT on a personal scale with SAP technologies
Quantify your drive: IoT on a personal scale with SAP technologies
 
Overview of SAP HANA Cloud Platform
Overview of SAP HANA Cloud PlatformOverview of SAP HANA Cloud Platform
Overview of SAP HANA Cloud Platform
 
Developing and Deploying Applications on the SAP HANA Platform
Developing and Deploying Applications on the SAP HANA PlatformDeveloping and Deploying Applications on the SAP HANA Platform
Developing and Deploying Applications on the SAP HANA Platform
 
OpenUI5
OpenUI5OpenUI5
OpenUI5
 
Welcome to SAP Community of Developers!
Welcome to SAP Community of Developers!Welcome to SAP Community of Developers!
Welcome to SAP Community of Developers!
 
SAP Developer Center - March 2016 update
SAP Developer Center - March 2016 updateSAP Developer Center - March 2016 update
SAP Developer Center - March 2016 update
 
SAP Tech Innovation for Business - 2014.05
SAP Tech Innovation for Business - 2014.05SAP Tech Innovation for Business - 2014.05
SAP Tech Innovation for Business - 2014.05
 
SAP HANA - Big Data and Fast Data
SAP HANA - Big Data and Fast DataSAP HANA - Big Data and Fast Data
SAP HANA - Big Data and Fast Data
 
SAP CodeJam Mobile - Poland 2013
SAP CodeJam Mobile - Poland 2013SAP CodeJam Mobile - Poland 2013
SAP CodeJam Mobile - Poland 2013
 

Recently uploaded

Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 

Recently uploaded (20)

Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John Staveley
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCustom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
 

Data Visualization

  • 1. Vitaliy Rudnytskiy, SAP @Sygyzmundovych Data Visualization and Discovery
  • 2. © 2011 SAP AG. All rights reserved. 1 Let’s talk about: - What and why - A bit of history - Data Visual and Discovery from SAP - What’s coming…
  • 3. © 2011 SAP AG. All rights reserved. 2 Let’s start with… - … introduction :) - Vitaliy Rudnytskiy @Sygyzmundovych - SAP’s Developer Relations team - 12 years as a BI Technology Consultant - SAP Mentor 2010-2014 - Self-proclaimed King of Data Geeks  - Based in Wrocław
  • 5. © 2011 SAP AG. All rights reserved. 5 For both Enterprise BI and Trusted Data Discovery… Trusted Data DiscoveryEnterprise BI
  • 6. © 2011 SAP AG. All rights reserved. 6 Analytics "SAP has continued investing in new capabilities with a number of potential differentiators. For instance: SAP Lumira's advanced self-service data preparation and infographics features; smart data discovery, by integrating Predictive Analytics (SAP's advanced analytics platform acquired from KXEN) and Lumira; governed data discovery, by integrating SAP Lumira with SAP BusinessObjects Enterprise, and integration with SAP HANA." ~Gartner
  • 8. © 2011 SAP AG. All rights reserved. 10 Picture Superiority Effect – Understanding numbers
  • 9. © 2011 SAP AG. All rights reserved. 11 Picture Superiority Effect - Remembering „Cool Infographics: Effective Communication with Data Visualization and Design” by Randy Krum, John Wiley & Sons © 2014 after: „Brain Rules: 12 Principles for Surviving and Thriving at Work, Home, and School” by John Medina, Pear Press © 2008
  • 10. © 2011 SAP AG. All rights reserved. 12 Picture Superiority Effect - Context
  • 11. based on „SAP Lumira: Data Visualization Handbook” and other Data Visualization: Shapes and colours source: http://christinaducruet.com/blog/?p=107
  • 12. © 2011 SAP AG. All rights reserved. 14 Visual Perception Source: „SAP Lumira Data Visualization Handbook” http://getlumira.sapstore.com/data-visualization-handbook/
  • 13. © 2011 SAP AG. All rights reserved. 15 Chart Chooser Source: http://www.extremepresentation.typepad.com/blog/2008/06/visualization-taxonomies.html
  • 14. © 2011 SAP AG. All rights reserved. 16 Human eye can distinguish betwen 7-10 milion colors How many can you? source: https://en.wikipedia.org/wiki/Color_vision#/media/File:1Mcolors.png
  • 15. © 2011 SAP AG. All rights reserved. 18 Primary colors Subtractive colours – cyan, magenta and yellow – combine to form black Additive colours – red, green and blue – reduce to produce white source: http://designingfortheweb.co.uk/part4/part4_chapter16.php
  • 16. © 2011 SAP AG. All rights reserved. 21 The Colour Wheel
  • 17. © 2011 SAP AG. All rights reserved. 22 Example: SAP  Brand Elements  Visual  Color Palette Our range of primary colors consists of SAP Gold, white, black and the supportive neutral colors (SAP light, medium and dark gray) We use our secondary color palette for graphs and tables, as well as for accent and highlighting purposes https://www.sapbrandtools.com/color-palette/#palette-details
  • 18. based on „The Visual display of Quantitive Information” by Edward Tufte, 1982/2001 Data Visualization: A bit of history
  • 19. based on „The Visual display of Quantitive Information” by Edward Tufte, 1982/2001 Small Lies, Big Lies, or Manipulating the Truth
  • 21. © 2011 SAP AG. All rights reserved. 54 Tell your Story with SAP Lumira Infographics
  • 22. Let’s move to modern times: SAP BusinessObjects Lumira
  • 23. © 2011 SAP AG. All rights reserved. 56 SAP Analytics solutions Trusted data discovery Instant insight for decision makers Agility for analysts Trust and scale for IT Agile Visualization Advanced Analytics Enterprise Business Intelligence
  • 24. © 2011 SAP AG. All rights reserved. 57 Agile Visualization Agile Visualization Intuitively explore and communicate data to reveal new insights at-a-glance Agile Visualization Advanced Analytics Enterprise Business Intelligence
  • 25. © 2011 SAP AG. All rights reserved. 58 SAP Lumira Product description Transform data  Acquire data from corporate, personal and web sources  Acquire data from custom sources with extensions  Quickly cleanse, combine and enrich data Visualize and discover insights  Rich library of chart types  Extend, embed and customize with extensions  Discover related insights and influencers Share beautiful stories  Build engaging stories that highlight KPIs  Share insights on mobile, browser and desktop Visualize your data, discover new insights, and share beautiful stories
  • 26. © 2011 SAP AG. All rights reserved. 59 SAP Lumira On mobile, browser, and desktop DesktopBrowserMobile
  • 27. © 2011 SAP AG. All rights reserved. 60 Trusted Data Discovery Customers want: AGILITY for business users + The ability to SCALE and GOVERN BI strategically across the organization. + INNOVATION AgilityforBusinessUsers Enterprise scale and governance Excel Data Discovery Enterprise BI Trusted Data Discovery Customer
  • 28. Let’s move to future
  • 29. © 2011 SAP AG. All rights reserved. 64 Now the spotlight is on you! Do you want to leave your mark in the history of visualization??
  • 30. Thank you! Dziękuję Contact information: Vitaliy Rudnytskiy, SAP vitaliy.rudnytskiy@sap.com @Sygyzmundovych

Editor's Notes

  1. SAP Visual Intelligence is the latest addition in the Explorer family. It is a new Desktop tool that was released at Sapphire on May 15, 2012. The 1.0.1 release adds several key features for the business analyst or the data artisans as we call them. They will be able to acquire data from a variety of corporate and personal data sources, to manipulate this data without any scripting, and replay these transformation rules on the data when the source gets updated.So on top of the analysis capabilities, users can combine data as they want, while still publishing the data onto the existing SAP BI platform, leveraging the security.SAP Visual Intelligence complements and extends the value of SAP BusinessObjects Explorer where analysts will be able to publish the data set created in SAP Visual Intelligence that can then be viewed from SAP Explorer web and mobile solutions.