BI IN THE CLOUD: TIME TO TAKE THE PLUNGE?
Sunil Murray
Sales Director
Birst
Smurray@birst.com
720-530-9105
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Current Situation
The evolution of Business Intelligence
BI in the cloud – What, How, When?
Pros and Cons
What does the future hold?
AGENDA
Agenda
CHALLENGES AFFECTING CURRENT BI INITIATIVES
• For the 4th year in a row, BI & analytics tops
CIO’s Priority list for Enterprise Initiatives*
(Business Week?)
• Gartner estimates ~ 60% of BI projects fail*
• Despite decision support tools being around for
the last 20-30 years, Business Units still struggle
with information access.
CHALLENGES AFFECTING CURRENT BI PROJECTS
Current Situation
• Process
• ETL – DW – Visualization
• Data – Internal & External; Structured and Un-Structured
• Top down or Bottom up BI?
• People
• Who owns BI projects
• Increasing business demands to unite corporate strategies with
departmental goals
• Consumerization of IT
• Technology
• Tools & Skills required for ETL
• Tools & skills required for Data Warehousing
• Tools & skills required for Front-End Analytics
CHALLENGES AFFECTING CURRENT BI PROJECTS
Challenge: Why is BI so Hard?
Finance
Data
ETL Extract
Transform & Load
Data
Warehouse
OLAP
Engine
Reporting
Engine(s)
CRM
Data
Reports
Dashboards
Operations
Data
More
Data
Ad Hoc
Queries
Data
Discovery
Time Consuming Process
Users
CHALLENGES AFFECTING CURRENT BI PROJECTS
Challenge: Why BI is Hard
• Collaboration:
• Team based Decision Making
• Data-Driven Decision Making
• Companies, Partners & Suppliers
• Corporate Performance:
• Drive top line results
• Reveal new competitive advantages
• Agility:
• Consumerization of Enterprise IT
• On demand, anywhere, anytime
THE EVOLUTION OF BI
The Evolution of BI: Three key trends
USER
DEMAND
Capability
BI Suites
Discovery
Tools
Agility
THE EVOLUTION OF BI
Capabilities Gap
THE CASE FOR CLOUD BI
On-premise BI
• Secure
• IT in Control
Pros
Cons
Cloud BI
• Easy to Use
• Flexible
• Proven Technology
• Follows Rigorous
Methodology
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Low TCO
Fast Time to Value
Modern Architecture
Lightweight – fit for POCs
Lower TCO
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Perceived lack of Security
Lack of Control
Lack of Reusability
Light-weight Technology
Difficult to Use
High Cost
Slow Time to Value
Lack of Innovation
• Requires Multiple
Technologies
• Disconnect between IT
and Business
• Inability to handle Big Data
• Business Only Tool
THE CASE FOR CLOUD BI
Cloud vs. On Premise: Preconceptions
• Multi-Tenant Hardware
• Security
• Financial options
• Various Storage Options
• Near Line
• High Availability
• Archive
• Accessibility
• SMBs, Large
THE CASE FOR CLOUD BI
Cloud BI: Infrastructure
• Various Options for Deployment
• Visualizations
• Database/Data Marts
• Data Connectivity
• Shared Development
• Resource Availability
THE CASE FOR CLOUD BI
Cloud BI: Development
• Time to Value
• Deliver BI Projects faster – weeks vs. months
• Increased Access = Maximum Results
• Scalability & Flexible Environments
• Greater Visibility
THE CASE FOR CLOUD BI
Cloud BI: Over all TCO
FUTURE CONSIDERATIONS
THE CASE FOR CLOUD BI
Cloud BI Architecture
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On Premise & Cloud BI
Logical Data Stores
Standardized 3rd party data feeds
Mobile BI – solved
FUTURE CONSIDERATIONS
Hybrid Approach
Thank You
QUESTIONS?
Sunil Murray
Sales Director
Birst
Smurray@birst.com
720-530-9105