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Author :
Publisher : Sas Inst
ISBN 13 : 9781599945705
Total Pages : 492 pages
Book Rating : 4.9/5 (457 download)
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.
Author : SAS Institute
Publisher : SAS Institute
ISBN 13 : 9781599947952
Total Pages : 0 pages
Book Rating : 4.9/5 (479 download)
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.
Author :
Publisher : SAS Institute
ISBN 13 : 9781599941684
Total Pages : 0 pages
Book Rating : 4.9/5 (416 download)
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.
Author : SAS Institute
Publisher : Sas Inst
ISBN 13 : 9781590472354
Total Pages : 86 pages
Book Rating : 4.4/5 (723 download)
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.
Author : Harish Gulati
Publisher : Packt Publishing Ltd
ISBN 13 : 1788622480
Total Pages : 299 pages
Book Rating : 4.7/5 (886 download)
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.
Author : SAS Institute
Publisher : Sas Inst
ISBN 13 : 9781580254892
Total Pages : 670 pages
Book Rating : 4.2/5 (548 download)
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:
Author : SAS Institute
Publisher : Sas Inst
ISBN 13 : 9781590475645
Total Pages : 336 pages
Book Rating : 4.4/5 (756 download)
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.
Author : Jared Dean
Publisher : John Wiley & Sons
ISBN 13 : 1118920708
Total Pages : 293 pages
Book Rating : 4.1/5 (189 download)
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.
Author : Tim Rey
Publisher : SAS Institute
ISBN 13 : 9781642953008
Total Pages : 336 pages
Book Rating : 4.9/5 (53 download)
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 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.
Author : Rob J Hyndman
Publisher : OTexts
ISBN 13 : 0987507117
Total Pages : 380 pages
Book Rating : 4.9/5 (875 download)
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.
Author : Charles W. Chase
Publisher : John Wiley & Sons
ISBN 13 : 1119186633
Total Pages : 290 pages
Book Rating : 4.1/5 (191 download)
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.
Author : Kattamuri S. Sarma
Publisher : SAS Institute
ISBN 13 : 163526040X
Total Pages : 574 pages
Book Rating : 4.6/5 (352 download)
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. »--
Author : Jac Fitz-enz
Publisher : John Wiley & Sons
ISBN 13 : 1118893670
Total Pages : 180 pages
Book Rating : 4.1/5 (188 download)
Download or read book Predictive Analytics for Human Resources written by Jac Fitz-enz and published by John Wiley & Sons. This book was released on 2014-07-28 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every business—the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications. Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find: A comprehensive guide to developing and implementing a human resource analytics project Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling Explanations of the ten steps required in building an analytics function How to add value through analysis of systems such as staffing, training, and retention For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.
Author : SAS Institute
Publisher : Sas Inst
ISBN 13 : 9781590476970
Total Pages : 584 pages
Book Rating : 4.4/5 (769 download)
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.
Author : Pieter Kubben
Publisher : Springer
ISBN 13 : 3319997130
Total Pages : 219 pages
Book Rating : 4.3/5 (199 download)
Download or read book Fundamentals of Clinical Data Science written by Pieter Kubben and published by Springer. This book was released on 2018-12-21 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author : Gregory S. Nelson
Publisher : John Wiley & Sons
ISBN 13 : 1119425093
Total Pages : 468 pages
Book Rating : 4.1/5 (194 download)
Download or read book The Analytics Lifecycle Toolkit written by Gregory S. Nelson and published by John Wiley & Sons. This book was released on 2018-03-07 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.
Author : Geoff Der
Publisher : CRC Press
ISBN 13 : 1466599030
Total Pages : 250 pages
Book Rating : 4.4/5 (665 download)
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.
