Use of Data Analytics for Business Competition and Survival
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This document discusses the use of business intelligence and data analytics tools to help businesses gain competitive advantages. It provides background on the speaker and defines business intelligence. The rest of the document outlines trends in business intelligence like predictive analytics and visualization. It also introduces several open source tools for data integration, analysis, and visualization that can help analysts explore data and make better business decisions.
Use of Data Analytics for Business Competition and Survival
- 1. Use of Data Analytics for Business Competition and Survival REASONS FOR BI | Upgrading your toolset Prepared by Dr. Maurice Dawson
- 2. Agenda Fulbright Speaker Background University of Missouri System University of Missouri-St. Louis Business Intelligence Data Analytics Tool Exploration Additional Resources
- 3. Fulbright The Fulbright Specialist Program (FSP) promotes linkages between U.S. scholars and professionals and their counterparts at host institutions overseas. Grant Duration: Two- to six-weeks. Rolling Roster Application Deadline. - See more at: http://www.cies.org/program/fulbright-specialist-program#sthash.I7atqRzB.dpuf The program awards grants to U.S. faculty and professionals approved to join the Specialist Roster in select disciplines to engage in short-term collaborative projects at eligible institutions in over 140 countries worldwide. Shorter grant lengths give Specialists greater flexibility to pursue projects that work best with their current academic or professional commitments. International travel costs and a per day grant payment are funded by the U.S. Department of State Bureau of Educational and Cultural Affairs. Participating host institutions cover grantee in-country costs - See more at: http://www.cies.org/program/fulbright-specialist-program#sthash. I7atqRzB.dpuf
- 6. University of Missouri System
- 7. University of Missouri-St. Louis
- 8. UMSL College of Business Administration The Chronicle of Higher Education ranked our UMSL IS Area Faculty third among 375 universities in Faculty Scholarly Productivity in 2007. Academic Analytics ranked our UMSL IS Area Faculty sixth among 387 universities in Faculty Scholarly Productivity in 2010. Our International Business has ranked in the top 20 nationally for 11 years, and our Accounting program graduates more accountants than any other program in the state. Additionally, our faculty consistently generates highly acclaimed research.
- 9. BI Definitions Business Intelligence (BI) refers to skills, processes, technologies, applications and practices used to support decision making. Systems that provide directed background data and reporting tools to support and improve the decision-making process. A popularized, umbrella term used to describe a set of concepts and methods to improve business decision making by using fact-based support systems. The term is sometimes used interchangeably with briefing books and executive information systems. Business Intelligence is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help clients make better business decisions. A system that collects, integrates, analyses and presents business information to support better business decision making. Business Intelligence is an environment in which business users receive information that is reliable, secure, consistent, understandable, easily manipulated and timely...facilitating more informed decision making
- 10. What is BI?
- 11. CPU – Content, Performance, Usability Content ● The business determines the “what”, BI enables the “how” Performance ● Minimize report creation and collection times (near zero) Usability ● Delivery Method -> Push vs Pull ● ● Medium -> Excel, PDF, Dashboard, Cube, Mobile Device ● ● Enhance Digestion -> “A-ha” is readily apparent, fewer clicks ● ● Tell a Story-> Trend, Context, Related Metrics, Multiple Views
- 12. Top 10 Business & Technology Priorities 2011 1. Cloud computing 2. Virtualization 3. Mobile technologies 4. IT Management 5. Business Intelligence 6. Networking, voice and data communications 7. Enterprise applications 8. Collaboration technologies 9. Infrastructure 10. Web 2.0
- 13. Major BI Trends Mobile Cloud Social Media Advanced Analytics Tools
- 14. TDWI Executive Summit – August 2010 1. Predictive Analytics 2. Visualization/Dashboards 3. Master Data Management 4. The Cloud 5. Analytic Databases 6. Mobile BI 7. Open Source 8. Text Analytics
- 15. Retail Analytics Market Basket Analytics Text Analytics Customer Segmentation/Clustering Tailored Product Assortments Inventory Forecasting
- 16. SOFA Statistics
- 17. R Language
- 18. RStudio
- 19. RKWard
- 22. Pathline
- 24. RapidMiner
- 25. RapidMiner
- 26. Pentaho
- 27. Pentaho
- 28. Steps
- 29. Step 1 - Data Integration Blueprints
- 30. Step 2 - Choose Your Weapons
- 31. Step 2 - Choose Your Weapons
- 32. Step 2 - Choose Your Weapons
- 33. Step 2 - Choose Your Weapons
- 34. Step 2 - Choose Your Weapons
- 35. Step 3 - Master the Data
- 36. Step 4 - Learn from the Masters
- 44. SourceForge
- 45. Contact Info