PPT-BIT 5534: Applied Business Intelligence and Analytics

Project report by Surabhi Anurag Trushit Vaishnav Shikha Varkie Group 2 1 USE OF DATA ANALYTICS TO PREDICT THE DEMAND OF BIKES Business Objective To determine the demand for the bike rentals based upon the various parameters such as temperature working day humidity weather windspeed etc. Luc Janssen. Director, Product Management, QAD Inc.. QAD Explore 2012. 2. The following is intended to outline QAD’s general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, functional capabilities, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functional capabilities described for QAD’s products remains at the sole discretion of QAD.. Project report by:. Surabhi Anurag, Trushit Vaishnav, . Shikha. . Varkie. Group 2. 1. USE OF DATA ANALYTICS TO PREDICT . THE DEMAND OF BIKES. Business Objective. To determine the demand for the bike rentals based upon the various parameters such as temperature, working day, humidity, weather, windspeed etc.. Eighth Edition. Chapter # 6. Enhancing Business Intelligence Using Big Data and Analytics. Learning Objectives. 6.1. Describe the need for business intelligence and advanced analytics and how databases serve as a foundation for making better business decisions.. Eighth Edition. Chapter # 6. Enhancing Business Intelligence Using Big Data and Analytics. Learning Objectives. 6.1. Describe the need for business intelligence and advanced analytics and how databases serve as a foundation for making better business decisions.. Copyright © 2019 Accenture All rights reserved.. SOURCES OF INNOVATION. Clients. Ecosystem Partners. VC/PE accelerator. Start-ups. Universities. Clients. Accenture. Delivery . Centers. Accenture Innovation . Information Systems Development. Learning Objectives. Upon successful completion of this chapter, you will be able to:. Explain the difference between BI, Analytics, Data Marts and Big Data.. Define the characteristics of data for good decision making.. Introduction What You146re Going to Learn3 Ch 2 The Business Intelligence MarketCh 3 The BI Process Step 1 - IngestionCh 4 The BI Process Step 2 - AnalysisCh 5 The BI Process Step 3 - DeliveryCh 7 Tayaba Nadeem. Business Intelligence Services Team Leader. 317.224.1289. Tayaba.Nadeem@mcmtsg.com. Business Intelligence. What is Business Intelligence?. Process of understanding data. Process of using data. Chapter Outline. 12.1 Managers and . Decision Making. 12.2 What Is . Business Intelligence. ?. 12.3 Business . Intelligence Applications . . for Data Analysis. 12.4 Business Intelligence. . Dr. Sagar . Samtani. Assistant Professor and Grant Thornton Scholar. Kelley School of Business, Indiana University. 1. Bootcamp Background – AI-enabled Analytics. Artificial Intelligence (AI) has rapidly emerged as a key disruptive technology of... Tanya Scott. Director, Business Analytics Department. Assoc. Dean, Business & Public Services . Dr. Manju Shah. Assoc. Department Head, Business Analytics Department. Wake Technical Community College . M. Afdal, ST., . M.Kom. m.afdal@uin-suska.ac.id. Introduction :. Overall goals of this class. Students are able to analyze . digital business strategies using digital marketing . techniques such as SEO and SEM for the benefit of entrepreneurs.. What is Business Intelligence?. Business Intelligence (BI) refers to the technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. . Sam Woolford, Bentley University. 2016 Joint . Statistical Meetings. Chicago. , IL. August 4, 2016. 2016 JSM Chicago, IL. 1. Outline. Defining Business Analytics. Historical Context. Business Analytics Requirements.