Tag: Analytics

Free Download Proceedings of Data Analytics and Management: ICDAM 2023, Volume 3 by Abhishek Swaroop, Zdzislaw Polkowski, Sérgio Duarte Correia, Bal Virdee
English | PDF EPUB (True) | 2023 | 686 Pages | ISBN : 9819965497 | 115.4 MB
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

Free Download Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro by Galit Shmueli, Peter C. Bruce, Mia L. Stephens
English | May 9, 2023 | ISBN: 1119903831 | 608 pages | MOBI | 41 Mb
MACHINE LEARNING FOR BUSINESS ANALYTICS

Free Download Learning SAP Analytics Cloud:
Collaborate, predict and solve business intelligence problems with cloud computing
English | 2017 | ISBN: 9781788290883 | 605 Pages | PDF EPUB MOBI (True) | 73 MB

Free Download Introduction to People Analytics: A Practical Guide to Data-driven HR by Nadeem Khan, Dave Millner
English | July 25, 2023 | ISBN: 1398610070 | 400 pages | MOBI | 5.46 Mb
How can HR practitioners with little or no experience of analytics feel confident in their ability to find, analyse and use workforce data to make better business decisions? This book has the answers.

Free Download Arun Kumar, "Insights, Strategies, and Applications of Business Analytics"
English | ISBN: 1036400239, 9781036400231 | 2024 | 262 pages | PDF | 2 MB
This book is a transformative guide catering to undergraduate and graduate students and research scholars, providing a comprehensive understanding of critical concepts in modern analytics. In today’s fast-paced business landscape, data utilization is paramount for success. This book delves into tools and techniques facilitating the conversion of raw data into actionable insights, covering descriptive, predictive, and prescriptive analytics. Beginning with foundational principles, it ensures accessibility for readers of all backgrounds. Real-world case studies seamlessly woven throughout the text illustrate successful business analytics implementations, showcasing how organizations make strategic decisions. This precise and insightful guide equips readers with the knowledge to optimize processes, making it an indispensable resource for navigating the dynamic realm of business analytics.

Free Download Data-Driven HR: How to Use Analytics and Metrics to Drive Performance
English | 2021 | ISBN: 1398693863 | 298 Pages | EPUB | 2 MB
Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession.

Free Download Data Analytics and Management: Proceedings of ICDAM by Ashish Khanna
English | EPUB | 2021 | 920 Pages | ISBN : 981158334X | 137.3 MB
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Free Download Elakkiya R., "Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications"
English | ISBN: 1394214030 | 2024 | 384 pages | PDF | 12 MB
COGNITIVE ANALYTICS AND REINFORCEMENT LEARNING

Free Download Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications
English | 2024 | ISBN: 1394214030 | 384 Pages | EPUB | 10 MB
Cognitive analytics and reinforcement learning are pivotal branches of artificial intelligence. They have garnered increased attention in the research field and industry domain on how humans perceive, interpret, and respond to information. Cognitive science allows us to understand data, mimic human cognitive processes, and make informed decisions to identify patterns and adapt to dynamic situations. The process enhances the capabilities of various applications.

Free Download Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner: A Beginner’s Guide By Olivia Parr-Rud
2014 | 182 Pages | ISBN: 1612907830 | PDF | 6 MB
This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. Today’s businesses increasingly use data to drive decisions that keep them competitive. Especially with the influx of big data, the importance of data analysis to improve every dimension of business cannot be overstated. Data analysts are therefore in demand; however, many hires and prospective hires, although talented with respect to business and statistics, lack the know-how to perform business analytics with advanced statistical software. Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner is a beginner’s guide with clear, illustrated, step-by-step instructions that will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. This book is part of the SAS Press program.