Introduction Business intelligence (BI1) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions. As part of the B1 process, organizations collect data from internal it systems and external sources, prepare it for analysis, run queries against the data and create data visualizations, BI dashboards and reports to make the analytics results available to business users for operational decision-making and strategic planning. Task-1 Bl tools were primarily used by BI and IT professionals who ran queries and produced dashboards and reports for business users. Increasingly, however, business analysts, executives and workers are using business intelligence platforms themselves, thanks to the development of self-service Bl and data discovery tools. Students are expected to critically analyze the tools that are used for a) Sales Intelligence, visualization of data, and display for real-time data with report generation. 125 marks ] b) Report generating for executive level, management level (periodic and ondemand) from internal and/or external data of an organization for faster decision making. [25 marks ] Each of the above-mentioned topics expected to complete by 300350 informatic words and 45 in-text citations. Moreover, you have to compare as much as possible similar tools for each question and 15 marks allocated for each topic. Task-2 a) A business model is defined as the rationale of how an organization creates, delivers and captures value. Every "Business Data Analytics Model" has some common steps and these are logically connected. Analyze the functionalities for each step aided with a suitable diagram. [25 marks ] b) Business data analytics helps a business understand the requirements and preferences of a customer so that businesses can increase their customer base and retain the existing ones with personalized and relevant offerings of their products or services. Prepare a report called "Insights of Business Data Analytics for business" that should be linked with descriptive, predictive, and prescriptive analytics for the business of this digital world. Justify your discussion with sufficient in-text citations (10+) and the discussion should not be less than 400 informatic words. [ 25 marks ]