1. Business Intelligence
Allow me to introduce myself.
My name is Daniel Amonkou. I am a student at Jacksonville University. I am currently enrolled in the course of information system Management. I am here to talk about the topic of Business Intelligence.

2. This is the end of my presentation. I enjoyed talking to you.
Ending
This is the end of my presentation.
I enjoyed talking to you.
And thank you for your time.

3. What is Business Intelligence?
SIMPLY PUT, BI IS THE INFORMATION TECHNOLOGY MANAGEMENT THROUGH SOFTWARE APPLICATIONS, DATA COLLECTION, SYSTEM INTEGRATION, AND DATA ANALYSIS.
BI HELPS IMPROVE BUSINESS DECISION MAKING PROCESS USING FACT-BASED SUPPORT SYSTEMS.

4. BI OBJECTIVES TO ANALYZE DATA AND TRENDS FOR NEW OPPORTUNITIES
TO OPTIMIZE AND REDUCE INEFFICIENCIES.
THOUGH, BI IS A VALUABLE TOOL, IT HAS OFTEN PROVEN CHALLENGING TO IMPLEMENT.

5. THESES HOW IS BUSINESS INTELLIGENCE IMPLEMENTED?
NEXT, WHAT ARE SOME EXAMPLES OF LEADERS IN BUSINESS INTELLIGENCE SERVICES?
WHAT ARE THE LIMITATIONS TO BE CAUTIOUS OF?

6. how to effectively implement?
Identify and define the problems and opportunities through System thinking strategy (e.g. SWOT)
EValuate the needs of the business
Quality of Data is vital.

7. how to effectively implement?
establish a model of decision support system and infrastructures.
investigate the specific BI software and hardware.
Importance of The cost and the quality aspects .
cost over time in software and hardware upgrades, patches, back-up, trainings and maintenance.

8. Integration Process
How to successfully integrate or incorporate the new system with the already existing one?
4 methods of system conversion:
parallel
pilot
phased method
direct

9. BI service providers
Lot of companies in different marketplaces such as ACCENTURE, SAS, IBM COGNOS, ORACLE, SAP, GOOGLE, MICROSOFT are leading the Real-time Business Intelligence offering varieties of applications that can track sales, services, Customer Relations management (CRM), marketing, financial services, human resources, supply functions, and manufacturing

10. BI LIMITATIONS
BI IS DOMINATED BY PROCESS RULES THAT DO NOT FIT THE COMPLEX DATA.
BI IS TO SUPPORT BUSINESS ENTITIES IN ORDER TO MAKE BETTER DECISIONS MAKING, REDUCING RISKS AND NOT TO WARN US OF EVERY EVENTUALITY.
BI LATENCY OF INFORMATION RETRIEVAL (DATA WAREHOUSING PROCESS)

11. CONSEQUENCES: BI LIMITATIONS IN INCONSISTENT DATA,
REDUNDANT DATA STORAGE
LEADING TO SIGNIFICANT RESOURCE USE FOR MAINTENANCE, AND INEFFICIENT RESPONSE TO CHANGING BUSINESS NEEDS.

12. BI SOLUTIONS TO AVOID MISHANDLING BI TOOLS:
USERS MUST UPDATE THEIR PARADIGMS
USERS MUST BE SKILLED TO KNOW HOW TO HANDLE THE COMPLEX FLOW OF INFORMATION
AN ANALYTICAL BACKGROUND IN INTERDISCIPLINARY FIELD SUCH AS ECONOMICS, STATISTICS, MATHEMATICS, MARKETING AND OPERATIONS RESEARCH OR MAYBE AN MBA SHOULD BE REQUIRED.