SlideShare una empresa de Scribd logo
1 de 26
•
•
    –
    –
•
    –
•
•

•

•




    11/24/2011   5
•
Mash
    Source                    Mobile         iPad
                   Up
• Ordnance   • PowerPivot • Tableau    • 3G
  Survey                               • Wi-Fi
• Census
  data
•
•
    –
    –
•

•
Text
Profit % by Category
                 1%
           11%

      1%
                              22%



                                            AUDIO
                                            CAMERAS & CAMCORDERS
                                            CELL PHONES
                                            COMPUTERS

                                    7%      GAMES & TOYS
31%                                         HOME APPLIANCES
                                            MUSIC, MOVIES & AUDIO BOOKS
                                            TV & VIDEO




           1%           26%




                                         11/24/2011                  14
•
•
•
•
•
•
•

•
•
Europe’s Premier
     Community
SQL Server Conference
          #SQLBITS
Platinum Sponsor



Premium Sponsor
•
•
•
•
•
•


    #SQLBITS
SQL Relay events
  Monday 3rd October
  Manchester - Manchester SQL Server User Group
  Birmingham - SQL Midlands User Group
  Farnham - Surrey SQL Server User Group
  Ashford - Kent SQL Server and .NET User Group

  Tuesday 4th October
  Leeds - Leeds Area SQL Server User Group
  London - London SQL Server User Group
  Bristol - SQL Server Club
  Hatfield - SQL Herts User Group
  Maidenhead - Maidenhead SQL Server User Group

  Wednesday 5th October
  Edinburgh - Scottish Area SQL Server User Group
  Cardiff - Cardiff SQL Server User Group
  Exeter - SQL South West User Group
  Southampton - Southampton SQL Server User Group
  Cambridge - Cambridgeshire SQL Server User Group
  Basildon - Essex SQL Server User Group

  Thursday 6th October
  London - UK SQL Server User Group
•

•
•
•
•
We hope you had a great
        conference day!
      If we don’t see you
   tomorrow, keep checking
     www.sqlbits.com for
slide, videos and news of the
        next conference
     #SQLBITS

Más contenido relacionado

Similar a iPad and Mobile Business Intelligence

XOS Mobile Platforms
XOS Mobile PlatformsXOS Mobile Platforms
XOS Mobile Platformsnchristopher
 
Flurry: миллиардная аудитория – насколько большим может быть рынок мобильных ...
Flurry: миллиардная аудитория – насколько большим может быть рынок мобильных ...Flurry: миллиардная аудитория – насколько большим может быть рынок мобильных ...
Flurry: миллиардная аудитория – насколько большим может быть рынок мобильных ...Leonid Bogolubov
 
Web & Apps Design for Mobile Devices
Web & Apps Design for Mobile DevicesWeb & Apps Design for Mobile Devices
Web & Apps Design for Mobile Deviceslerichard
 
Jordan Bitterman on The Makegood: The Future of Video
Jordan Bitterman on The Makegood: The Future of VideoJordan Bitterman on The Makegood: The Future of Video
Jordan Bitterman on The Makegood: The Future of VideoThe Makegood
 
Mobile devices 5
Mobile devices 5Mobile devices 5
Mobile devices 5lerichard
 
Mobile 101 Class 1: Technology and Mobile Behavior
Mobile 101 Class 1: Technology and Mobile BehaviorMobile 101 Class 1: Technology and Mobile Behavior
Mobile 101 Class 1: Technology and Mobile BehaviorThe Media Kitchen
 
"Миллиарды игроков - насколько может вырасти рынок мобильных игр?" - Саймон П...
"Миллиарды игроков - насколько может вырасти рынок мобильных игр?" - Саймон П..."Миллиарды игроков - насколько может вырасти рынок мобильных игр?" - Саймон П...
"Миллиарды игроков - насколько может вырасти рынок мобильных игр?" - Саймон П...Procontent.Ru Magazine
 
Mobile Web Vs Mobile Apps
Mobile Web Vs Mobile AppsMobile Web Vs Mobile Apps
Mobile Web Vs Mobile AppsJoe Hass
 
MeeGoの概要と最新動向(2011/07/09)
MeeGoの概要と最新動向(2011/07/09)MeeGoの概要と最新動向(2011/07/09)
MeeGoの概要と最新動向(2011/07/09)himamura (暇村)
 
Next.gen.tv.advertising
Next.gen.tv.advertisingNext.gen.tv.advertising
Next.gen.tv.advertisingAditya Kishore
 
Case Analysis - Apple 2010
Case Analysis - Apple 2010Case Analysis - Apple 2010
Case Analysis - Apple 2010Madhuranath R
 
ICIMOD Web presence: Knowledge and Information Sharing
ICIMOD Web presence: Knowledge and Information SharingICIMOD Web presence: Knowledge and Information Sharing
ICIMOD Web presence: Knowledge and Information SharingICIMOD
 
ICIMOD Web experience and content generation
ICIMOD Web experience and content generationICIMOD Web experience and content generation
ICIMOD Web experience and content generationDeependra Tandukar
 

Similar a iPad and Mobile Business Intelligence (20)

Mobilize UGent
Mobilize UGentMobilize UGent
Mobilize UGent
 
XOS Mobile Platforms
XOS Mobile PlatformsXOS Mobile Platforms
XOS Mobile Platforms
 
Rml flurry 2012_sp
Rml flurry 2012_spRml flurry 2012_sp
Rml flurry 2012_sp
 
Flurry: миллиардная аудитория – насколько большим может быть рынок мобильных ...
Flurry: миллиардная аудитория – насколько большим может быть рынок мобильных ...Flurry: миллиардная аудитория – насколько большим может быть рынок мобильных ...
Flurry: миллиардная аудитория – насколько большим может быть рынок мобильных ...
 
Web & Apps Design for Mobile Devices
Web & Apps Design for Mobile DevicesWeb & Apps Design for Mobile Devices
Web & Apps Design for Mobile Devices
 
Jordan Bitterman on The Makegood: The Future of Video
Jordan Bitterman on The Makegood: The Future of VideoJordan Bitterman on The Makegood: The Future of Video
Jordan Bitterman on The Makegood: The Future of Video
 
Patrick hochstenbach mobilize u gent
Patrick hochstenbach mobilize u gentPatrick hochstenbach mobilize u gent
Patrick hochstenbach mobilize u gent
 
4 yle lauri kivinen
4 yle lauri kivinen4 yle lauri kivinen
4 yle lauri kivinen
 
Mobile devices 5
Mobile devices 5Mobile devices 5
Mobile devices 5
 
Bluetooth tutorial-2001
Bluetooth tutorial-2001Bluetooth tutorial-2001
Bluetooth tutorial-2001
 
Mobile 101 Class 1: Technology and Mobile Behavior
Mobile 101 Class 1: Technology and Mobile BehaviorMobile 101 Class 1: Technology and Mobile Behavior
Mobile 101 Class 1: Technology and Mobile Behavior
 
Miko matsumura 2013
Miko matsumura 2013Miko matsumura 2013
Miko matsumura 2013
 
Miko matsumura 2013
Miko matsumura 2013Miko matsumura 2013
Miko matsumura 2013
 
"Миллиарды игроков - насколько может вырасти рынок мобильных игр?" - Саймон П...
"Миллиарды игроков - насколько может вырасти рынок мобильных игр?" - Саймон П..."Миллиарды игроков - насколько может вырасти рынок мобильных игр?" - Саймон П...
"Миллиарды игроков - насколько может вырасти рынок мобильных игр?" - Саймон П...
 
Mobile Web Vs Mobile Apps
Mobile Web Vs Mobile AppsMobile Web Vs Mobile Apps
Mobile Web Vs Mobile Apps
 
MeeGoの概要と最新動向(2011/07/09)
MeeGoの概要と最新動向(2011/07/09)MeeGoの概要と最新動向(2011/07/09)
MeeGoの概要と最新動向(2011/07/09)
 
Next.gen.tv.advertising
Next.gen.tv.advertisingNext.gen.tv.advertising
Next.gen.tv.advertising
 
Case Analysis - Apple 2010
Case Analysis - Apple 2010Case Analysis - Apple 2010
Case Analysis - Apple 2010
 
ICIMOD Web presence: Knowledge and Information Sharing
ICIMOD Web presence: Knowledge and Information SharingICIMOD Web presence: Knowledge and Information Sharing
ICIMOD Web presence: Knowledge and Information Sharing
 
ICIMOD Web experience and content generation
ICIMOD Web experience and content generationICIMOD Web experience and content generation
ICIMOD Web experience and content generation
 

Más de Jen Stirrup

AI Applications in Healthcare and Medicine.pdf
AI Applications in Healthcare and Medicine.pdfAI Applications in Healthcare and Medicine.pdf
AI Applications in Healthcare and Medicine.pdfJen Stirrup
 
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATIONBUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATIONJen Stirrup
 
CuRious about R in Power BI? End to end R in Power BI for beginners
CuRious about R in Power BI? End to end R in Power BI for beginners CuRious about R in Power BI? End to end R in Power BI for beginners
CuRious about R in Power BI? End to end R in Power BI for beginners Jen Stirrup
 
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...Jen Stirrup
 
1 Introduction to Microsoft data platform analytics for release
1 Introduction to Microsoft data platform analytics for release1 Introduction to Microsoft data platform analytics for release
1 Introduction to Microsoft data platform analytics for releaseJen Stirrup
 
5 Comparing Microsoft Big Data Technologies for Analytics
5 Comparing Microsoft Big Data Technologies for Analytics5 Comparing Microsoft Big Data Technologies for Analytics
5 Comparing Microsoft Big Data Technologies for AnalyticsJen Stirrup
 
Comparing Microsoft Big Data Platform Technologies
Comparing Microsoft Big Data Platform TechnologiesComparing Microsoft Big Data Platform Technologies
Comparing Microsoft Big Data Platform TechnologiesJen Stirrup
 
Introduction to Analytics with Azure Notebooks and Python
Introduction to Analytics with Azure Notebooks and PythonIntroduction to Analytics with Azure Notebooks and Python
Introduction to Analytics with Azure Notebooks and PythonJen Stirrup
 
Sales Analytics in Power BI
Sales Analytics in Power BISales Analytics in Power BI
Sales Analytics in Power BIJen Stirrup
 
Analytics for Marketing
Analytics for MarketingAnalytics for Marketing
Analytics for MarketingJen Stirrup
 
Diversity and inclusion for the newbies and doers
Diversity and inclusion for the newbies and doersDiversity and inclusion for the newbies and doers
Diversity and inclusion for the newbies and doersJen Stirrup
 
Artificial Intelligence from the Business perspective
Artificial Intelligence from the Business perspectiveArtificial Intelligence from the Business perspective
Artificial Intelligence from the Business perspectiveJen Stirrup
 
How to be successful with Artificial Intelligence - from small to success
How to be successful with Artificial Intelligence - from small to successHow to be successful with Artificial Intelligence - from small to success
How to be successful with Artificial Intelligence - from small to successJen Stirrup
 
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...Jen Stirrup
 
Data Visualization dataviz superpower
Data Visualization dataviz superpowerData Visualization dataviz superpower
Data Visualization dataviz superpowerJen Stirrup
 
R - what do the numbers mean? #RStats
R - what do the numbers mean? #RStatsR - what do the numbers mean? #RStats
R - what do the numbers mean? #RStatsJen Stirrup
 
Artificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
Artificial Intelligence and Deep Learning in Azure, CNTK and TensorflowArtificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
Artificial Intelligence and Deep Learning in Azure, CNTK and TensorflowJen Stirrup
 
Blockchain Demystified for Business Intelligence Professionals
Blockchain Demystified for Business Intelligence ProfessionalsBlockchain Demystified for Business Intelligence Professionals
Blockchain Demystified for Business Intelligence ProfessionalsJen Stirrup
 
Examples of the worst data visualization ever
Examples of the worst data visualization everExamples of the worst data visualization ever
Examples of the worst data visualization everJen Stirrup
 
Lighting up Big Data Analytics with Apache Spark in Azure
Lighting up Big Data Analytics with Apache Spark in AzureLighting up Big Data Analytics with Apache Spark in Azure
Lighting up Big Data Analytics with Apache Spark in AzureJen Stirrup
 

Más de Jen Stirrup (20)

AI Applications in Healthcare and Medicine.pdf
AI Applications in Healthcare and Medicine.pdfAI Applications in Healthcare and Medicine.pdf
AI Applications in Healthcare and Medicine.pdf
 
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATIONBUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
 
CuRious about R in Power BI? End to end R in Power BI for beginners
CuRious about R in Power BI? End to end R in Power BI for beginners CuRious about R in Power BI? End to end R in Power BI for beginners
CuRious about R in Power BI? End to end R in Power BI for beginners
 
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
 
1 Introduction to Microsoft data platform analytics for release
1 Introduction to Microsoft data platform analytics for release1 Introduction to Microsoft data platform analytics for release
1 Introduction to Microsoft data platform analytics for release
 
5 Comparing Microsoft Big Data Technologies for Analytics
5 Comparing Microsoft Big Data Technologies for Analytics5 Comparing Microsoft Big Data Technologies for Analytics
5 Comparing Microsoft Big Data Technologies for Analytics
 
Comparing Microsoft Big Data Platform Technologies
Comparing Microsoft Big Data Platform TechnologiesComparing Microsoft Big Data Platform Technologies
Comparing Microsoft Big Data Platform Technologies
 
Introduction to Analytics with Azure Notebooks and Python
Introduction to Analytics with Azure Notebooks and PythonIntroduction to Analytics with Azure Notebooks and Python
Introduction to Analytics with Azure Notebooks and Python
 
Sales Analytics in Power BI
Sales Analytics in Power BISales Analytics in Power BI
Sales Analytics in Power BI
 
Analytics for Marketing
Analytics for MarketingAnalytics for Marketing
Analytics for Marketing
 
Diversity and inclusion for the newbies and doers
Diversity and inclusion for the newbies and doersDiversity and inclusion for the newbies and doers
Diversity and inclusion for the newbies and doers
 
Artificial Intelligence from the Business perspective
Artificial Intelligence from the Business perspectiveArtificial Intelligence from the Business perspective
Artificial Intelligence from the Business perspective
 
How to be successful with Artificial Intelligence - from small to success
How to be successful with Artificial Intelligence - from small to successHow to be successful with Artificial Intelligence - from small to success
How to be successful with Artificial Intelligence - from small to success
 
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
 
Data Visualization dataviz superpower
Data Visualization dataviz superpowerData Visualization dataviz superpower
Data Visualization dataviz superpower
 
R - what do the numbers mean? #RStats
R - what do the numbers mean? #RStatsR - what do the numbers mean? #RStats
R - what do the numbers mean? #RStats
 
Artificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
Artificial Intelligence and Deep Learning in Azure, CNTK and TensorflowArtificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
Artificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
 
Blockchain Demystified for Business Intelligence Professionals
Blockchain Demystified for Business Intelligence ProfessionalsBlockchain Demystified for Business Intelligence Professionals
Blockchain Demystified for Business Intelligence Professionals
 
Examples of the worst data visualization ever
Examples of the worst data visualization everExamples of the worst data visualization ever
Examples of the worst data visualization ever
 
Lighting up Big Data Analytics with Apache Spark in Azure
Lighting up Big Data Analytics with Apache Spark in AzureLighting up Big Data Analytics with Apache Spark in Azure
Lighting up Big Data Analytics with Apache Spark in Azure
 

Último

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 

Último (20)

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 

iPad and Mobile Business Intelligence

  • 1.
  • 2. • • – – • –
  • 3.
  • 4.
  • 5. • • • 11/24/2011 5
  • 6.
  • 7.
  • 8.
  • 9. Mash Source Mobile iPad Up • Ordnance • PowerPivot • Tableau • 3G Survey • Wi-Fi • Census data
  • 10. • • – – • •
  • 11. Text
  • 12.
  • 13. Profit % by Category 1% 11% 1% 22% AUDIO CAMERAS & CAMCORDERS CELL PHONES COMPUTERS 7% GAMES & TOYS 31% HOME APPLIANCES MUSIC, MOVIES & AUDIO BOOKS TV & VIDEO 1% 26% 11/24/2011 14
  • 16.
  • 17.
  • 18.
  • 19. Europe’s Premier Community SQL Server Conference #SQLBITS
  • 21.
  • 22.
  • 24. SQL Relay events Monday 3rd October Manchester - Manchester SQL Server User Group Birmingham - SQL Midlands User Group Farnham - Surrey SQL Server User Group Ashford - Kent SQL Server and .NET User Group Tuesday 4th October Leeds - Leeds Area SQL Server User Group London - London SQL Server User Group Bristol - SQL Server Club Hatfield - SQL Herts User Group Maidenhead - Maidenhead SQL Server User Group Wednesday 5th October Edinburgh - Scottish Area SQL Server User Group Cardiff - Cardiff SQL Server User Group Exeter - SQL South West User Group Southampton - Southampton SQL Server User Group Cambridge - Cambridgeshire SQL Server User Group Basildon - Essex SQL Server User Group Thursday 6th October London - UK SQL Server User Group
  • 26. We hope you had a great conference day! If we don’t see you tomorrow, keep checking www.sqlbits.com for slide, videos and news of the next conference #SQLBITS

Notas del editor

  1. Sample data contains two decimal places, which unnecessarily adds in additional data.The original data shows Brighton, Cambridge and Oxford as having the highest percentage of Jedi.The link is here: http://www.statistics.gov.uk/census2001/profiles/rank/jedi.asp
  2. 3 out of 5 workers say they don’t need to be in the office to be productive (Cisco)The Perception of work is changingUsers using web-based email less (-6%) and mobile email more (+36%)So what is mobile BI? Speaking broadly, mobile BI provides end users with the capability to access data and make informed decisions on the go. Being away from laptops or offices should no longer restrict executives’ ability to access critical data, and they should not have to rely on months or weeks-old numbers embedded in emails or presentation reports.Mobile BI is about providing BI on any technology not restricted in use at any place and at any time. Platforms for this include smartphones, iPads and tablets. But mobile BI is not just about providing access to data irrespective of place and time. It’s a methodology: a design and strategy to make sure that critical data is available in a real-time and secured manner.Senior management: interested in real-time organizational key performance indicators; ability to access data anytime and anywhere; and make decisions on the go.Sales executives: interested in customer analytics; proactive sales alerts; real-time customer data; and sales performance reporting.Service executives: interested in real-time service alerts and customer data.
  3. Apple iPad downloads topped 15 billion http://www.apple.com/pr/library/2011/07/07Apples-App-Store-Downloads-Top-15-Billion.htmlSince April 2010, Apple have sold 30 million iPads, $9.5 billion revenueEasier for people to justify an iPad when they already own iPod or iPhoneOther vendors playing ‘catch up’ – Apple already crafting next generationWhy the iPad? It is easy to adopt, minimal training, and many employees have an iPad at home.Why are Apple so dominant? Planned for the future. Apple Retail stores are an ‘experience’ as well as a function. Compare the Apple shopping experience with looking at a device on a tether in CarPhone Warehouse or similar. The benefit of allowing people to interact with the device, with friendly Apple fanboys at their side, is very appealing.Rest of the tablet market generated $34 million revenue.iPod or iPhone – 220 million iOS devices worldwidePeople who are wary of downloading software will download Apple apps since the store is regarded as fairly ‘safe’ and outside the remit of normal downloads. This is largely due to Apple’s checking process.
  4. 3 out of 5 workers say they don’t need to be in the office to be productive (Cisco)The Perception of work is changingUsers using web-based email less (-6%) and mobile email more (+36%)Why are Apple so dominant? Planned for the future. Apple Retail stores are an ‘experience’ as well as a function. Compare the Apple shopping experience with looking at a device on a tether in CarPhone Warehouse or similar. The benefit of allowing people to interact with the device, with friendly Apple fanboys at their side, is very appealing.Rest of the tablet market generated $34 million revenue.iPod or iPhone – 220 million iOS devices worldwidePeople who are wary of downloading software will download Apple apps since the store is regarded as fairly ‘safe’ and outside the remit of normal downloads. This is largely due to Apple’s checking process.
  5. Work is a thing people do, not a place people go2011 – Primary mobile BI device is the iPad, then the Blackberry; previously, iPhone was dominant in 2010. 2011 – Market is rapidly changing with new platforms (Android), BI evolution in technical offerings, and a higher number of deployments
  6. Support for slicers Takes data from ATOM feedsTakes from OLEDB Source as standard/* Potential issue for desktop version since PowerPivot takes from OLEDB */Highly scaleable
  7. Microsoft SQL ServerMicrosoft SQL AzureMicrosoft SQL Server Parallel Data WarehouseMicrosoft AccessOracleTeradataSybaseInformixIBM DB2Microsoft Analysis ServicesMicrosoft Reporting ServicesData Feeds (WCF Data Services formerly ADO.Net Data Services)Excel workbookText file
  8. Tableau’s strengths:Visualisation, visualisation, visualisation! ease-of-use for business usersLeveraging the power of DAX to build complex calculationsIn itself, low reliance on IT
  9. How can we make this look better in Tableau (quite easily!)The sample visualisation is supposed to show off what PowerPivot can do; however, it fails because it breaks best practices in datavisualisation, which come naturally in Tableau.
  10. Moire illusion(yes, tables are a type of visualization).
  11. Moire illusion(yes, tables are a type of visualization).