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BI In The Cloud: Time To Take the Plunge?

BI In The Cloud: Time To Take the Plunge?. Sunil Murray Sales Director Birst Smurray@birst.com 720-530-9105. Agenda. Current Situation The evolution of Business Intelligence BI in the cloud – What, How, When? Pros and Cons What does the future hold?. Agenda.

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BI In The Cloud: Time To Take the Plunge?

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  1. BI In The Cloud: Time To Take the Plunge? Sunil Murray Sales Director Birst Smurray@birst.com 720-530-9105

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

  3. Challenges affecting current BI initiatives

  4. Current Situation • 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

  5. 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 Challenges Affecting Current BI Projects

  6. Challenge: Why BI is Hard Challenges Affecting Current BI Projects • OLAP • Engine • Data • Warehouse • ETL Extract Transform & Load • Reporting Engine(s) • Users Reports • Finance • Data • CRM • Data Dashboards • Operations • Data • More • Data Ad Hoc Queries Data Discovery Time Consuming Process

  7. 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 The Evolution of BI

  8. Capabilities Gap The Evolution of BI • USER DEMAND • BI Suites • Capability Discovery Tools • Agility

  9. The Case for Cloud BI

  10. Cloud vs. On Premise: Preconceptions The Case for Cloud BI • On-premise BI • Cloud 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

  11. Cloud BI: Infrastructure • Multi-Tenant Hardware • Security • Financial options • Various Storage Options • Near Line • High Availability • Archive • Accessibility • SMBs, Large The Case for Cloud BI

  12. Cloud BI: Development • Various Options for Deployment • Visualizations • Database/Data Marts • Data Connectivity • Shared Development • Resource Availability The Case for Cloud BI

  13. Cloud BI: Over all TCO • Time to Value • Deliver BI Projects faster – weeks vs. months • Increased Access = Maximum Results • Scalability & Flexible Environments • Greater Visibility The Case for Cloud BI

  14. Future Considerations

  15. Cloud BI Architecture The Case for Cloud BI

  16. Hybrid Approach • On Premise & Cloud BI • Logical Data Stores • Standardized 3rd party data feeds • Mobile BI – solved Future Considerations

  17. Thank You Questions? Sunil Murray Sales Director Birst Smurray@birst.com 720-530-9105

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