PPT-Business Intelligence, Analytics, and Data

Business Intelligence Analytics and Data Science A Managerial Perspective Fourth Edition Chapter 5 Predictive Analytics II Text Web and Social Media Analytics Copyright 2018 2014 2011 Pearson Education Inc All Rights Reserved. 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.. Jean Martin, CEB. October 24 , 2014. Pressure on HR to capitalize on data assets. Source: PwC, “15th Annual Global CEO Survey,” 2012, http:/. /www.pwc.com/en_GX/gx/ceo-survey/pdf/15th-global-ceo-survey.pdf.. is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . refers to all of the applications and technologies used to gather, provide access to, and analyze data and information to support decision-making efforts. Putting together all of the pieces of the puzzle. . IIA Seminar . May 13, 2016. Audit & Advisory. The New Path to Value Creation. Creative destruction. Data trends. Future of Internal Audit. People, Process & Technology Challenges. Practical Frameworks . is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . 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 Agenda. What BI ?. Past of BI. Why BI ?. How BI ?. OLAP. OLTP. Dashboards & Scorecards. Data Mining. What is . BI (Business Intelligence) ?. Organized, Analyzed Data. B.I. (Processes, Tools & Technologies). stay ahead of the curve. Uncover new information and value to . remain competitive. 4 . tracks. . designed to follow the . Analyst’s Journey. May 2-4, San Jose, California. Register . at . passbaconference.com . 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. . Ritu. Rathod. Jennifer Downey. Business Intelligence:. The practice of collecting, integrating and analyzing data. . A process in which raw data can be transformed into useful and meaningful information.. 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... 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. .