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Ensuring Mobile BI Success



        August 18, 2011




 The only secure mobile BI solution
Webinar Notes


                 Attendees Muted
                    Upon Entry



                Please send questions
                   using the online
                       interface
Featured Speakers


      Stefan Schmitz
      Vice President of Products




      Wei-Chin Cheng
      Senior Consultant
Agenda

   • Trends in Mobile BI

   • Characteristics of Mobile BI

   • Mobile BI Best Practices

   • Security Considerations

   • Birst Mobile BI Demo
History of information delivery to mobile devices




                                                 Purpose-built
                                      Mobile     mobile BI apps
                                    client app

                      Data access
                      via browser

            Static
          data push
Mobile Wave – Fastest in IT History




“Over 80% of Fortune 100 companies have already begun deploying iPads in the
work place, or are in the process of ramping up their iPad support”

- Peter Oppenheimer, CFO Apple, January 2011
Shift in Usage Patterns Thanks to Tablets
Trends in Mobile BI

• Mobilization of business analytics is unstoppable
   – 9.25 million Apple iPads sold in the Q2 2011
   – Tablet sales estimated to reach 100 million by 2012
   – Gartner estimates that by 2013 a third of BI functionality
     will be consumed via mobile devices

• Mobile BI will drive wider adoption of BI
   – Only 8% of the people in most organizations are using
     mobile BI
   – Using mobile devices, BI becomes a more integral part of
     work processes away from the desk
   – Tablets like the iPad that are “always-on” and provide a
     gesture-based UI make BI more accessible and easier to
     consume
Drivers for Mobile BI Adoption




                                 Confidential   8/18/2011   9
User-Perceived Benefits of Mobile BI




         COPYRIGHT 2010 DRESNER ADVISORY SERVICES, LLC
User-Perceived Drawbacks of Mobile BI




         COPYRIGHT 2010 DRESNER ADVISORY SERVICES, LLC
Profile of Typical Mobile BI User

 • Not an information producer
    – Data analyst
    – Report Writer

 • Rather an information collaborator
    – Project lead, manager, specialist


 • Definitely an information consumer
    – Sales, marketing
    – Executives
    – IT
Mobile BI Best Practices
1. Avoid dashboard proliferation and rework
   ‒   Plan for author-once, distribute-everywhere dashboards

2. Design to a smaller form factor
   ‒   Most important chart/table at the top left
   ‒   Limit charts & tables to 4
   ‒   Avoid legends if possible
   ‒   Size fonts appropriately

3. Design for on-the-go usage
   ‒   Intuitive drill paths to more detail
   ‒   Limit to essential prompts
   ‒   Encourage collaboration

4. Focus on operational data
   ‒   Avoid data requiring deep analysis
   ‒   “here and now” metrics
Tablets vs. Smart Phones




   • Greater interactivity        • Alert driven
   • Perform drill down, filter   • Interaction based on
     data, data exploration         finding reports
   • Longer view times            • No data exploration
Browser-Based vs. Native BI App

 Capability               Browser-Based   Native App
 Performance

 Cross platform support

 Interactivity

 Offline Mode

 Geo Location

 Maintenance

 Security
Browser-Based vs. Native BI App
Mobile BI Security Considerations
1. Device Security
   – Utilize the handset/device security features
     to protect the data
   – Remote data management

2. Transmission Security
   – Cryptographic shared key systems
   – Secure socket layers

3. Authentication & Authorization
   – Control access rights to information
   – Provisions and policies
Solutions Provided by Mobile BI Vendors
• Solution 1 – Data & rendering on mobile device
   – Devices can be hacked
   – Mobile devices are not powerful enough
     for complex analytics

• Solution 2 – Data & rendering on server
   – Lacks interactivity, unfamiliar UI
   – Slow response times

• Solution 3 – Data on server, rendering on device
   – Use a VPN, which can be hacked
   – Or open up firewall and …
Are you prepared to open your firewall?




                              Firewall
                                                             Data
                      https




              • Do you have intrusion detection?
              • Do you have security monitoring?
              • Are you SAS 70 Type II certified?

 Birst is the only secure mobile BI solution providing SAS 70 Type II
About Birst
 Birst offers a comprehensive end-to-end BI suite with reporting, dash
 boarding, OLAP, ETL and data warehousing via SaaS
     –   Founded 2004 by former Siebel Analytics executives
     –   120+ Customers, 50,000+ users, 10+ TB under management
     –   Revenues tripled in 2010
     –   Top-tier VC funding by Sequoia Capital and Hummer Winblad

 Business Analytics for:
     –   Front Office: Executives, Sales, Marketing, Operations
     –   Back Office: Finance, Supply Chain, Human Resources




    “One of Ten IT Companies To Watch In 2011” – The Bloor Group
    “… customers chose Birst for 3 reasons; 1) ease of use, 2) implementation cost/efforts and 3) TCO” - Gartner

                                                                                    Confidential   8/18/2011   20
Logical and Physical Data Integration,
  Flexible End-user Access – In ONE Package
Existing Business Intelligence
End-user Tools                                                                                      Ad Hoc
                                                           Dashboards/
                                                                                                                                                 Mobile
                                                           Reporting                                Analysis


                                                                                           Multi-dimensional Analysis (OLAP)
                                                         Analytics
                                                         and
                                                         Logical Data                             Universal Semantic Layer
                                                         Integration
                                                                                Mongo Cache: Massive Scale Cloud-based Caching




                                                                                                                                                            MDX Realtime Query
                                                                                                                            SQL Realtime Query
 Datamart-in-a-Box
                                Extract          Transform           Load
                                                                                       Mart/Warehouse
 Physical Data                                         BEL
                                   Birst                               Birst
                                                 Transformation
                                 Connect                            Datamart
 Integration                                         Engine
                                                                     Engine*




                                                                                                                                                          Cube
                                                                                                                       Relational                     (e.g. MSAS,
                                                                                                                       Database                         SAP BW,
                                                                  Source 1
                                                              (DB, File, XML)
                                                                                 …           Source N
                                                                                            (DB, File, XML)
                                                                                                                      (MSSQL, Oracle,
                                                                                                                       DB2, Teradata,
                                                                                                                    Sybase, Vertica, ...)
                                                                                                                                                       Hyperion)

                                         SAP R/3
             Cloud Sources                                                                                                                           On Premise Data
   End-user (browser/device)               Cloud              On-premise (within the firewall)                Optional either On-premise or Cloud
               * Birst’s patent-pending datamart generation engine dynamically generates and manages a fully conformed star schema data warehouse EITHER in
               the cloud or in anon-premise relational database (i.e. no data need be resident in the cloud). Additions/modifications are automatically handled.
Demo of Birst Mobile BI
Learn More
• Test drive Birst today
   – Register at Birst.com, under
     Sign Up
• Join us for a live demo of
  Birst for additional detail
   – Every Tuesday at 10:00 am pt
   – Register at Birst.com
• Contact us
   – Email: info@birst.com
   – Phone: (866) 940-1496

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Ensuring Mobile BI Success

  • 1. Ensuring Mobile BI Success August 18, 2011 The only secure mobile BI solution
  • 2. Webinar Notes Attendees Muted Upon Entry Please send questions using the online interface
  • 3. Featured Speakers Stefan Schmitz Vice President of Products Wei-Chin Cheng Senior Consultant
  • 4. Agenda • Trends in Mobile BI • Characteristics of Mobile BI • Mobile BI Best Practices • Security Considerations • Birst Mobile BI Demo
  • 5. History of information delivery to mobile devices Purpose-built Mobile mobile BI apps client app Data access via browser Static data push
  • 6. Mobile Wave – Fastest in IT History “Over 80% of Fortune 100 companies have already begun deploying iPads in the work place, or are in the process of ramping up their iPad support” - Peter Oppenheimer, CFO Apple, January 2011
  • 7. Shift in Usage Patterns Thanks to Tablets
  • 8. Trends in Mobile BI • Mobilization of business analytics is unstoppable – 9.25 million Apple iPads sold in the Q2 2011 – Tablet sales estimated to reach 100 million by 2012 – Gartner estimates that by 2013 a third of BI functionality will be consumed via mobile devices • Mobile BI will drive wider adoption of BI – Only 8% of the people in most organizations are using mobile BI – Using mobile devices, BI becomes a more integral part of work processes away from the desk – Tablets like the iPad that are “always-on” and provide a gesture-based UI make BI more accessible and easier to consume
  • 9. Drivers for Mobile BI Adoption Confidential 8/18/2011 9
  • 10. User-Perceived Benefits of Mobile BI COPYRIGHT 2010 DRESNER ADVISORY SERVICES, LLC
  • 11. User-Perceived Drawbacks of Mobile BI COPYRIGHT 2010 DRESNER ADVISORY SERVICES, LLC
  • 12. Profile of Typical Mobile BI User • Not an information producer – Data analyst – Report Writer • Rather an information collaborator – Project lead, manager, specialist • Definitely an information consumer – Sales, marketing – Executives – IT
  • 13. Mobile BI Best Practices 1. Avoid dashboard proliferation and rework ‒ Plan for author-once, distribute-everywhere dashboards 2. Design to a smaller form factor ‒ Most important chart/table at the top left ‒ Limit charts & tables to 4 ‒ Avoid legends if possible ‒ Size fonts appropriately 3. Design for on-the-go usage ‒ Intuitive drill paths to more detail ‒ Limit to essential prompts ‒ Encourage collaboration 4. Focus on operational data ‒ Avoid data requiring deep analysis ‒ “here and now” metrics
  • 14. Tablets vs. Smart Phones • Greater interactivity • Alert driven • Perform drill down, filter • Interaction based on data, data exploration finding reports • Longer view times • No data exploration
  • 15. Browser-Based vs. Native BI App Capability Browser-Based Native App Performance Cross platform support Interactivity Offline Mode Geo Location Maintenance Security
  • 17. Mobile BI Security Considerations 1. Device Security – Utilize the handset/device security features to protect the data – Remote data management 2. Transmission Security – Cryptographic shared key systems – Secure socket layers 3. Authentication & Authorization – Control access rights to information – Provisions and policies
  • 18. Solutions Provided by Mobile BI Vendors • Solution 1 – Data & rendering on mobile device – Devices can be hacked – Mobile devices are not powerful enough for complex analytics • Solution 2 – Data & rendering on server – Lacks interactivity, unfamiliar UI – Slow response times • Solution 3 – Data on server, rendering on device – Use a VPN, which can be hacked – Or open up firewall and …
  • 19. Are you prepared to open your firewall? Firewall Data https • Do you have intrusion detection? • Do you have security monitoring? • Are you SAS 70 Type II certified? Birst is the only secure mobile BI solution providing SAS 70 Type II
  • 20. About Birst Birst offers a comprehensive end-to-end BI suite with reporting, dash boarding, OLAP, ETL and data warehousing via SaaS – Founded 2004 by former Siebel Analytics executives – 120+ Customers, 50,000+ users, 10+ TB under management – Revenues tripled in 2010 – Top-tier VC funding by Sequoia Capital and Hummer Winblad Business Analytics for: – Front Office: Executives, Sales, Marketing, Operations – Back Office: Finance, Supply Chain, Human Resources “One of Ten IT Companies To Watch In 2011” – The Bloor Group “… customers chose Birst for 3 reasons; 1) ease of use, 2) implementation cost/efforts and 3) TCO” - Gartner Confidential 8/18/2011 20
  • 21. Logical and Physical Data Integration, Flexible End-user Access – In ONE Package Existing Business Intelligence End-user Tools Ad Hoc Dashboards/ Mobile Reporting Analysis Multi-dimensional Analysis (OLAP) Analytics and Logical Data Universal Semantic Layer Integration Mongo Cache: Massive Scale Cloud-based Caching MDX Realtime Query SQL Realtime Query Datamart-in-a-Box Extract Transform Load Mart/Warehouse Physical Data BEL Birst Birst Transformation Connect Datamart Integration Engine Engine* Cube Relational (e.g. MSAS, Database SAP BW, Source 1 (DB, File, XML) … Source N (DB, File, XML) (MSSQL, Oracle, DB2, Teradata, Sybase, Vertica, ...) Hyperion) SAP R/3 Cloud Sources On Premise Data End-user (browser/device) Cloud On-premise (within the firewall) Optional either On-premise or Cloud * Birst’s patent-pending datamart generation engine dynamically generates and manages a fully conformed star schema data warehouse EITHER in the cloud or in anon-premise relational database (i.e. no data need be resident in the cloud). Additions/modifications are automatically handled.
  • 22. Demo of Birst Mobile BI
  • 23. Learn More • Test drive Birst today – Register at Birst.com, under Sign Up • Join us for a live demo of Birst for additional detail – Every Tuesday at 10:00 am pt – Register at Birst.com • Contact us – Email: info@birst.com – Phone: (866) 940-1496