Fundamentals of Business Analytics, 2ed
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The book promises to be a single source of introductory knowledge on business intelligence which can be taught in one semester. It will provide a good start for first time learners typically from the engineering and management discipline. Business Intelligence subject cannot be studied in isolation. The book provides a holistic coverage beginning with an enterprise context, developing deeper understanding through the use of tools, touching a few domains where BI is embraced and discussing the problems that BI can help solve. It covers the complete life cycle of BI/Analytics project: Covering operational / transactional data sources, data transformation, data mart / warehouse design-build, analytical reporting and dashboards. ·Business View of Information Technology Applications ·Types of Digital Data ·Introduction to OLTP and OLAP ·Getting Started with Business Intelligence ·BI Definitions and Concepts ·Basics of Data Integration ·Multidimensional Data Modeling ·Measures, Metrics, KPIs and Performance Management ·Basics of Enterprise Reporting ·Understanding Statistics ·Application of Analytics ·Data Mining Algorithms ·BI Road Ahead
RN Prasad is the founder and Chief Practice Officer of Confluence Consulting Circle with over 37 years of IT industry experience. He works with companies to develop data platforms, patent innovative ideas, and design smart-decision systems leveraging SMAC. His interest areas include Big Data applications, Business Analytics solutions, BI self-service portals, Data Virtualization, Digital Transformation, Analytics & Big Data related executive education, Analytics certification assessments design, University curriculum innovation consulting and IGIP (International Society for Engineering Pedagogy)-based faculty certification. Seema Acharya is Lead Principal with the Education, Training and Assessment Department of Infosys Limited. She is an educator by choice and vocation, and has rich experience in both academia and the software industry. Her areas of interest and expertise are centered on Business Intelligence, Big Data and Analytics, technologies such as Data Warehousing, Data Mining, Data Analytics, Text Mining and Data Visualization.
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