Exploring the Future Potential of AI-Enabled Smartphone Processors
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
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
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.
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