BI IN THE CLOUD: TIME TO TAKE THE PLUNGE? Sunil Murray Sales Director Birst

A GENDA Agenda Current Situation The evolution of Business Intelligence BI in the cloud – What, How, When? Pros and Cons What does the future hold?

CHALLENGES AFFECTING CURRENT BI INITIATIVES

C HALLENGES A FFECTING C URRENT BI P ROJECTS Current Situation For the 4 th 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 years, Business Units still struggle with information access.

C HALLENGES A FFECTING C URRENT BI P ROJECTS Challenge: Why is BI so Hard? 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

C HALLENGES A FFECTING C URRENT BI P ROJECTS Challenge: Why BI is Hard Users Data Warehouse ETL Extract Transform & Load OLAP Engine Reporting Engine(s) Finance Data CRM Data Operations Data More Data Time Consuming Process

T HE E VOLUTION OF BI The Evolution of BI: Three key trends 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

T HE E VOLUTION OF BI Capabilities Gap BI Suites Agility Capability Discovery Tools USER DEMAND

THE CASE FOR CLOUD BI

Cloud vs. On Premise: Preconceptions On-premise BICloud BI Pros Cons Secure IT in Control Flexible Proven Technology Follows Rigorous Methodology Easy to Use Low TCO Fast Time to Value Modern Architecture Lightweight – fit for POCs Lower TCO Difficult to Use High Cost Slow Time to Value Lack of Innovation Requires Multiple Technologies Disconnect between IT and Business Perceived lack of Security Lack of Control Lack of Reusability Light-weight Technology Inability to handle Big Data Business Only Tool

T HE C ASE FOR C LOUD BI Cloud BI: Infrastructure Multi-Tenant Hardware Security Financial options Various Storage Options Near Line High Availability Archive Accessibility SMBs, Large

T HE C ASE FOR C LOUD BI Cloud BI: Development Various Options for Deployment Visualizations Database/Data Marts Data Connectivity Shared Development Resource Availability

T HE C ASE FOR C LOUD BI Cloud BI: Over all TCO Time to Value Deliver BI Projects faster – weeks vs. months Increased Access = Maximum Results Scalability & Flexible Environments Greater Visibility

FUTURE CONSIDERATIONS

T HE C ASE FOR C LOUD BI Cloud BI Architecture

F UTURE C ONSIDERATIONS Hybrid Approach On Premise & Cloud BI Logical Data Stores Standardized 3 rd party data feeds Mobile BI – solved

QUESTIONS? Thank You Sunil Murray Sales Director Birst