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  1. Team members Nilofer A.H Nivetha Pavitra Radika G.Reshma Thanjil jasmeen
  2. What is business intelligence (BI) and Its key points
  3. What is Business Intelligence(BI) • BI(Business Intelligence) is a set of processes, architectures, and technologies that convert raw data into meaningful information that drives profitable business actions. • Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes the data produced by a company’s activities. • It is a suite of software and services to transform data into actionable intelligence and knowledge. • Business intelligence (BI) combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions.
  4. ⮚ BI represents the technical infrastructure that collects, stores, and analyzes company data. ⮚ BI parses data and produces reports and information that help managers to make better decisions. ⮚ Software companies produce BI solutions for companies that wish to make better use of their data. ⮚ BI tools and software come in a wide variety of forms such as spreadsheets, reporting/query software, data visualization software, data mining tools, and online analytical processing (OLAP). ⮚ Self-service BI is an approach to analytics that allows individuals without a technical background to access and explore data. Key points
  5. Some business intelligence tools examples
  6. Qliksense
  7. Zoho analytics
  8. Clear analytics
  9. Why business intelligence is important and how it works
  10. why business intelligence is important ⮚ Business intelligence can help companies make better decisions by showing present and historical data within their business context ⮚ Analysts can leverage BI to provide performance and competitor benchmarks to make the organization run smoother and more efficiently. ⮚ Analysts can also more easily spot market trends to increase sales or revenue. Used effectively, the right data can help with anything from compliance to hiring efforts.
  11. How business intelligence works ⮚BI platforms traditionally rely on data warehouses for their baseline information. ⮚A data warehouse aggregates data from multiple data sources into one central system to support business analytics and reporting. ⮚Data warehouses can include an online analytical processing (OLAP) engine to support multidimensional queries. For example: What are sales for our eastern region of India versus our western region of India this year, compared to last year? OLAP(online analytical processing), a computing method that enables users to easily extract data in order to analyze it.
  12. Some features of business intelligence
  13. Some key features
  14. Some key features
  15. Real world applications of (BI) and how it benefits the other companies
  16. Real world applications of (BI) ⮚ Retailers – BI can use segmentation to differentiate the types of customers such as those who purchase small quantities but do so often, and those who spend big but do so rarely. (the latter). ⮚ Supermarkets – BI helps in gathering comprehensive data about customers and shoppers to determine who may be candidates for promotional offers. ⮚ Service Providers – Utility companies use BI to predict when a customer will likely transfer to another service provider by collating billing information, website visits, customer inquiries, and other such metrics. ⮚ E-commerce – You have probably come across Amazon’s line “People who viewed that product also like this…” which is a BI-driven, data mining method to promote cross-sells and up-sells. This is a popular technique in online selling sites.
  17. How it helps other companies A few ways that business intelligence can help companies make smarter, data-driven decisions: • Identify ways to increase profit • Analyze customer behavior • Compare data with competitors • Track performance • Optimize operations • Predict success • Spot market trends • Discover issues or problems
  18. Some key benefits
  19. Some key benefits • Fast and accurate reporting • Competitive analysis • Better data quality • Increased customer satisfaction • Identifying market trends • Increased operational efficiency • Improved, accurate decisions • Increased revenue
  20. Disadvantages of business tools
  21. ⮚ As more information and processes take on a digital format, tools like business intelligence (BI) have become increasingly valuable ⮚ Despite its many benefits, BI comes with its fair share of disadvantages ⮚ Here are five common problems with BI and how you can avoid them. 1. Data Breaches One of the most pressing concerns is the risk of leaks. If you use BI applications to handle sensitive information, an error in the process could expose it, harming your business, customers or employees. 2. High Prices Business intelligence software can be expensive.. You also have to consider the costs of the hardware and IT staff needed to implement. Disadvantages of Business intelligence(BI)
  22. 3. Difficulty Analyzing Different Data Sources The more encompassing your BI, the more data sources you’ll use. A variety of different sources can be beneficial in giving you well-rounded analytics, but systems may have trouble working across varied platforms. 4. Poor Data Quality In this digital age, you have more information at your disposal than ever, but this can prove to be problematic. A surplus of data can mean that a lot of what your BI tools analyze is irrelevant or unhelpful, muddying results and slowing down processes 5. Resistance to Adoption Not all disadvantages of BI deal with the software itself. One of the most substantial obstacles facing BI is employees or departments not wanting to integrate it into their operations. If your company doesn’t adopt these systems across all areas, they won’t be as effective. Disadvantages of (BI)