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Sas High Performance Forecasting 23
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Book Synopsis SAS High-performance Forecasting 3.1 by : SAS Institute
Download or read book SAS High-performance Forecasting 3.1 written by SAS Institute and published by SAS Institute. This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Documents the syntax of the SAS High-Performance Forecasting product and demonstrates its use through examples.
Book Synopsis SAS High-Performance Forecasting 2.3 by :
Download or read book SAS High-Performance Forecasting 2.3 written by and published by Sas Inst. This book was released on 2007 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples.
Book Synopsis SAS High-performance Forecasting 2.2 by :
Download or read book SAS High-performance Forecasting 2.2 written by and published by SAS Institute. This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples.
Book Synopsis SAS High-performance Forecasting 9.1 by : SAS Institute
Download or read book SAS High-performance Forecasting 9.1 written by SAS Institute and published by Sas Inst. This book was released on 2004 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: In virtually all businesses, poor forecasts lead to ill-devised plans, which can result in the loss of business, customers, and market share, as well as an increase in costs. This title guides you through the SAS High-Performance Forecasting product, designed to help your business succeed by translating large amounts of transactional data into more accurate, automatic forecasts on a large scale. High-Performance Forecasting enables you to accumulate the transactional data into time series data, select the appropriate models and generates forecasts of the time series automatically, and perform trend and seasonal analysis on transactional data for millions of variables. You will learn to forecast intermittent time series (slow moving goods) and to address forecast aggregation hierarchies (by-groups). This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples. This title is also available online. This title is designed to help IT professionals and forecasting experts utilize the full analytical sophistication of SAS High-Performance Forecasting for large-scale forecasting projects. Supports releases 9.1 and higher of SAS software.
Book Synopsis SAS/ETS User's Guide, Version 8 by : SAS Institute
Download or read book SAS/ETS User's Guide, Version 8 written by SAS Institute and published by Sas Inst. This book was released on 1999 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Data Mining for Forecasting Using SAS by : Tim Rey
Download or read book Applied Data Mining for Forecasting Using SAS written by Tim Rey and published by SAS Institute. This book was released on 2012-07-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable. This book is essential for forecasting practitioners who need to understand the practical issues involved in applied forecasting in a business setting. Through numerous real-world examples, the authors demonstrate how to effectively use SAS software to meet their industrial forecasting needs. This book is part of the SAS Press program.
Book Synopsis Sas R High-performance Forecasting 9.1.3 by : SAS Institute
Download or read book Sas R High-performance Forecasting 9.1.3 written by SAS Institute and published by Sas Inst. This book was released on 2004 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples. This title is also available online.
Book Synopsis Business Forecasting by : Michael Gilliland
Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
Book Synopsis Next Generation Demand Management by : Charles W. Chase
Download or read book Next Generation Demand Management written by Charles W. Chase and published by John Wiley & Sons. This book was released on 2016-08-22 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical framework for revenue-boosting supply chain management Next Generation Demand Management is a guidebook to next generation Demand Management, with an implementation framework that improves revenue forecasts and enhances profitability. This proven approach is structured around the four key catalysts of an efficient planning strategy: people, processes, analytics, and technology. The discussion covers the changes in behavior, skills, and integrated processes that are required for proper implementation, as well as the descriptive and predictive analytics tools and skills that make the process sustainable. Corporate culture changes require a shift in leadership focus, and this guide describes the necessary "champion" with the authority to drive adoption and stress accountability while focusing on customer excellence. Real world examples with actual data illustrate important concepts alongside case studies highlighting best-in-class as well as startup approaches. Reliable forecasts are the primary product of demand planning, a multi-step operational supply chain management process that is increasingly seen as a survival tactic in the changing marketplace. This book provides a practical framework for efficient implementation, and complete guidance toward the supplementary changes required to reap the full benefit. Learn the key principles of demand driven planning Implement new behaviors, skills, and processes Adopt scalable technology and analytics capabilities Align inventory with demand, and increase channel profitability Whether your company is a large multinational or an early startup, your revenue predictions are only as strong as your supply chain management system. Implementing a proven, more structured process can be the catalyst your company needs to overcome that one lingering obstacle between forecast and goal. Next Generation Demand Management gives you the framework for building the foundation of your growth.
Book Synopsis An Introduction to Time Series Analysis and Forecasting by : Robert A. Yaffee
Download or read book An Introduction to Time Series Analysis and Forecasting written by Robert A. Yaffee and published by Academic Press. This book was released on 2000-04-27 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: A time series is a set of repeated measurements of the same phenomenon taken sequentially over time. Capturing the data creates a time series "memory" to document correlations or lack, and to help them make decisions based on this data.
Book Synopsis Sasr 9.1.3 High-performance Forecasting by : SAS Institute
Download or read book Sasr 9.1.3 High-performance Forecasting written by SAS Institute and published by Sas Inst. This book was released on 2004 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide documents the syntax of the High-Performance Forecasting product and demonstrates its use through examples. This title is also available online.
Download or read book SAS for Finance written by Harish Gulati and published by Packt Publishing Ltd. This book was released on 2018-05-30 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the analytical power of SAS to perform financial analysis efficiently Key Features Leverage the power of SAS to analyze financial data with ease Find hidden patterns in your data, predict future trends, and optimize risk management Learn why leading banks and financial institutions rely on SAS for financial analysis Book Description SAS is a groundbreaking tool for advanced predictive and statistical analytics used by top banks and financial corporations to establish insights from their financial data. SAS for Finance offers you the opportunity to leverage the power of SAS analytics in redefining your data. Packed with real-world examples from leading financial institutions, the author discusses statistical models using time series data to resolve business issues. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate financial models. You can easily assess the pros and cons of models to suit your unique business needs. By the end of this book, you will be able to leverage the true power of SAS to design and develop accurate analytical models to gain deeper insights into your financial data. What you will learn Understand time series data and its relevance in the financial industry Build a time series forecasting model in SAS using advanced modeling theories Develop models in SAS and infer using regression and Markov chains Forecast inflation by building an econometric model in SAS for your financial planning Manage customer loyalty by creating a survival model in SAS using various groupings Understand similarity analysis and clustering in SAS using time series data Who this book is for Financial data analysts and data scientists who want to use SAS to process and analyze financial data and find hidden patterns and trends from it will find this book useful. Prior exposure to SAS will be helpful but is not mandatory. Some basic understanding of the financial concepts is required.
Book Synopsis Big Data, Data Mining, and Machine Learning by : Jared Dean
Download or read book Big Data, Data Mining, and Machine Learning written by Jared Dean and published by John Wiley & Sons. This book was released on 2014-05-07 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.
Book Synopsis Forecasting: principles and practice by : Rob J Hyndman
Download or read book Forecasting: principles and practice written by Rob J Hyndman and published by OTexts. This book was released on 2018-05-08 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Download or read book Health Analytics written by Jason Burke and published by John Wiley & Sons. This book was released on 2013-07-10 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on, analytics road map for health industry leaders The industry-wide transformation taking place across the health and life sciences ecosystem is mandating that organizations adopt new decision-making capabilities, based on science and real-world information. Analytics will be a required competency for the modern health enterprise; this book is about how to "cross the chasm." The ultimate analytics guide for the health industry leader, this essential book equips business leaders with little-to-no experience in analytics to understand how to incorporate analytics as a cornerstone of their 21st century competitive business strategy. Paints the picture for a new health enterprise, one focused on the patient Explores the financial components of this new operating model, using analytics to optimize the tradeoffs between cost and value Deals with the rising role of the consumer, using analytics to create a completely new health engagement model with individual recipients of care Looks at how analytics can drive innovations in care practice, patient-experienced medical outcomes, and analytically driven novel therapies optimized for the individual patient Presents a variety of text, tables, and graphics illustrating the various concepts being described Within each section and chapter, Health Analytics assesses the current landscape, proposing a new model/concept, sharing real-world stories of how the old and new world come together, and framing a "how-to" for the reader in terms of growing that particular set of capabilities in their own enterprises.
Book Synopsis A Handbook of Statistical Graphics Using SAS ODS by : Geoff Der
Download or read book A Handbook of Statistical Graphics Using SAS ODS written by Geoff Der and published by CRC Press. This book was released on 2014-08-15 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4. The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.
Book Synopsis Predictive Modeling with SAS Enterprise Miner by : Kattamuri S. Sarma
Download or read book Predictive Modeling with SAS Enterprise Miner written by Kattamuri S. Sarma and published by SAS Institute. This book was released on 2017-07-20 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: « Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. »--
