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Mastering Business Intelligence with MicroStrategy By Dmitry Anoshin, Himani Rana, Ning Ma

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About the Author
Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing business/digital analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient in using various data warehousing methodologies. Dmitry constantly exceeds project expectations when he works for financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He has written books for Packt Publishing SAP Lumira Essentials and Learning Hunk. In addition, he reviewed the following books for Packt Publishing: SAP BusinessObjects Reporting Cookbook, Creating Universes with SAP BusinessObjects, and Learning SAP BusinessObjects Dashboards.
Himani Rana is a MicroStrategy developer/architect and trainer. Since 2007 she has been working as a database developer and MicroStrategy specialist for multinational companies. She is currently pursuing her Ph.D. in data mining and big data. She has completed her master's in data mining and vehicular ad hoc networks.
Himani possesses in-depth knowledge of business intelligence and big data technologies. She specializes in insurance and financial data analysis because of her Chartered Insurance Professional (CIP) designation. In addition, she has been a committee member and reviewer of the Information Systems, Technology and Management book and 2011 Third International Conference on Advanced Computing (ICoAC)
Ning Ma is an experienced data analyst with a PhD in Economics in an insurance company. He has outstanding experience on projects ranging from executive dashboarding, education, fraud detection, and text mining. Moreover, he has a deep knowledge of predictive analytics and MicroStrategy. He likes to help business users to discover knowledge from data, visualize data patterns, and check new hypotheses. He is passionate about helping people make informed decisions and providing easy-to-use data products. Prior to that, he worked in China doing IT support and building economic relations with domestic and foreign investors. He studied MIS and Economics in Beijing, and did research on Econometric and Finance in Canada. In his free time he loves reading, electronic arts, and many kinds of outdoor activities.
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