Business intelligence (BI) refers to technologies and applications used to analyze data and provide access to information about company operations. It involves collecting data from across the organization, storing it in data warehouses or data marts, and providing tools to access and analyze the data. The goal of BI is to help business users make more informed decisions by providing insights from large amounts of internal and external data. Key aspects of BI include data warehousing, online analytical processing, reporting, dashboards, scorecards, and data mining.

1. Business Intelligence (BI) BI refers to application and technology, which is used to gather, provide access to, and analyze data and information about the company operations BI is neither a product nor a system. It is an architecture and a collection of integrated operational as well as decision-support applications and databases that provide the business community easy access to business data. BI Is 1 st coined by IBM researcher Hans Peter Luhn in 1958. He Defined intelligence as the Ability to apprehend the interrelationship of presented facts in such a way to guide action towards desired goal

2. BI Involves PEOPLE and Technology Involves using a rational approach to management Involves a continuous cycle of measurement, adjustment & re-measurement

3. The BI Cycle Analysis Insight Action Measurement BI start

4. BI Activities & Curriculum BI applications include the activities of: decision support, query and reporting, online analytical processing (OLAP), Curriculum involves Multi dimensional analysis Data ware housing Data mining

5. Why BI solutions ?

6. Mountains of Data Organizations have lots of data Data is not in a form that is useful to decision-makers Not easy to review Not informative nor insightful

7. The Problem Mountains of Data Business People GAP How do I increase sales???? How do I make my product better??? How do I retain customers?

8. Bridging the Gap Need data storage structures to facilitate fast analysis of huge volumes of data Need software to provide access to the data, allow flexible manipulation, and provide meaningful presentation

9. Multi-Dimensional Databases Multi-Dimensional Database (Cube)

10. Software Applications Multi-Dimensional Database (Cube) Business Person Business Person Business Person Reporting Applications Analytic Applications ScoreCards Dashboards

11. Data Warehouse ETL Processes & Deliverables Cleaning & Conforming Valid, missing Address, gender

12. Transforming &Cleansing Data Data must be transformed for consistency and meaningful Transformations may be as simple as copying columns or may be incredibly complex Data must be cleansed to be meaningful All companies have “bad” data in their systems Data may be missing Data may be inconsistent Data may be wrong

13. Data Mining Data Mining works for problems like: Develop a general profile for credit card customers … Differentiate individuals who are poor credit risks … Determine what characteristics differentiate male & female investors.

14. Data Mining Process List of Customers: -some bicycle buyers -some not Data Mining Software pattern List of Prospective Buyers pattern List of Likely Buyers

15. Data Mining Applications Fraud detection Targeted Marketing Risk Management Business Analysis

16. Players in BI market

17. Significance of BI To know about customers To know about competitors For sharing of information For avoiding guesswork

18. BI Technologies need to have a secure computer system which can specify different levels of user access to the data 'warehouse‘. need to have sufficient data capacity, a plan for how long data will be stored (data retention). BI analysts have developed software tools to gather and analyze large quantities of unstructured data such as production metrics, sales statistics, attendance reports, customer attrition figures.

19. BI & IT BI users are beginning to demand [Real time BI] or near real time analysis relating to their business, particularly in front line operations. They will come to expect up to date and fresh information in the same fashion as they monitor stock quotes online. Research shows that effective BI implementations depend on tight collaboration between the business unit and the IT department. BI implementations are more successful when business units become knowledgeable about available technologies and capabilities, and then communicate their needs to IT. Likewise, the IT organization should strive to understand the strategic objectives of business unit leaders and suggest ways in which BI could help them achieve their objectives

20. BIBLIOGRAPHY en.wikipedia.org/wiki/Business _ intelligence www.businessintelligence.com searchdatamanagement.techtarget.com/.../business-intelligence www.tech-faq.com/business-intelligence www.ibm.com/software/data/businessintelligence

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22. QUESTIONS ??