SlideShare a Scribd company logo
•
•
    –
    –
•
    –
•
•

•

•




    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

More Related Content

Similar to iPad and Mobile Business Intelligence

XOS Mobile Platforms
XOS Mobile PlatformsXOS Mobile Platforms
XOS Mobile Platforms
nchristopher
 
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 Devices
lerichard
 
Next.gen.tv.advertising
Next.gen.tv.advertisingNext.gen.tv.advertising
Next.gen.tv.advertising
Aditya Kishore
 
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
 

Similar to iPad and Mobile Business Intelligence (20)

Mobilize UGent
Mobilize UGentMobilize UGent
Mobilize UGent
 
XOS Mobile Platforms
XOS Mobile PlatformsXOS Mobile Platforms
XOS Mobile Platforms
 
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 ...
 
Rml flurry 2012_sp
Rml flurry 2012_spRml flurry 2012_sp
Rml flurry 2012_sp
 
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 experience and content generation
ICIMOD Web experience and content generationICIMOD Web experience and content generation
ICIMOD Web experience and content generation
 
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
 

More from Jen Stirrup

More from Jen Stirrup (20)

The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
 
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
 

Recently uploaded

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
 
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
 

Recently uploaded (20)

Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
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
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
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...
 
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)
 
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
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
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
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
In-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT ProfessionalsIn-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT Professionals
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
"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
 
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
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 

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

Editor's Notes

  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).