Machine learning is a hot topic in business. Even data-driven organizations that have spent years developing successful data analysis platforms, with many accurate statistical models in place, are now looking into this decades-old discipline. But how can companies turn hyped opportunities for machine learning into real business value? This report examines the growing momentum of machine learning in the analytics landscape, the challenges machine learning presents to businesses, and examples of how organizations are actively seeking to incorporate modern machine learning techniques into their production data infrastructures. Authors Patrick Hall, Wen Phan, and Katie Whitson look at two companies in depth—one in healthcare and one in finance—that are seeing the real impact of machine learning. Discover how machine learning can help your organization: Analyze and generate insights from large amounts of varied, messy, and unstructured data unfit for traditional statistical analysis Increase the predictive accuracy beyond what was previously possible Augment aging analytical processes and other decision-making tools

"Mastering QlikView Data Visualization" is your essential guide to becoming proficient in advanced data visualization and analysis using QlikView. Through practical examples and real-world scenarios, this book enables you to create insightful and meaningful QlikView applications tailored to business needs. What this Book will help me do Design and implement advanced QlikView applications using realistic data and scenarios. Understand and fulfill business requirements across varied organizational departments. Create advanced charts and visualizations including frequency polygons and XmR charts. Integrate geographical, sentiment, and planning analysis into your QlikView models. Develop troubleshooting strategies for common QlikView data visualization challenges. Author(s) None Pover, an expert in data analytics and QlikView technologies, has extensive experience in implementing QlikView applications to address real-world business challenges. They are passionate about teaching practical solutions, ensuring readers gain actionable insights. With hands-on expertise, the author delivers clear, structured guidance in technical learning. Who is it for? If you're a QlikView developer wanting to go beyond the basics, this book is perfect for you. It is designed for individuals who have foundational knowledge of QlikView and are looking to enhance their ability to handle advanced projects. Whether you're focusing on analytics for sales, finance, or operations, you'll find this guide extremely useful.

Written by leaders in the data mining community, including the developers of the RapidMiner software, this book provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The book and software tools cover all relevant steps of the data mining process. The software and their extensions can be freely downloaded at www.RapidMiner.com.

Ask vital questions before you dive into data Are your big data and analytics capabilities up to par? Nearly half of the global company executives in a recent Forbes Insight/Teradata survey certainly don’t think theirs are. This new book from O’Reilly examines how things typically go wrong in the data analytics process, and introduces a question-first, data-second strategy that can help your company close the gap between being analytics-invested and truly data-driven. Authors from Tamr, Inc. share insights into why analytics projects often fail, and offer solutions based on their combined experience in engineering, architecture, product strategizing, and marketing. You’ll learn how projects often start from the wrong place, take too long, and don’t go far enough—missteps that lead to incomplete, late, or useless answers to critical business questions. Find out how their question-first, data-second approach—fueled by vastly improved data preparation platforms and cataloging software—can help you create human-machine analytics solutions designed specifically to produce better answers, faster. Getting Analytics Right was written and presented by people at Tamr, Inc., including Nidhi Aggarwal, Product and Strategy Lead; Byron Berk, Customer Success Lead; Gideon Goldin, Senior UX Architect; Matt Holzapfel, Product Marketing; and Eliot Knudsen, Field Engineer. Tamr, a Cambridge, Massachusetts-based startup, helps companies understand and unify their disparate databases.

A guide to PowerPivot and Power Query no data cruncher should be without! Want to familiarize yourself with the rich set of Microsoft Excel tools and reporting capabilities available from PowerPivot and Power Query? Look no further! Excel PowerPivot & Power Query For Dummies shows you how this powerful new set of tools can be leveraged to more effectively source and incorporate 'big data' Business Intelligence and Dashboard reports. You'll discover how PowerPivot and Power Query not only allow you to save time and simplify your processes, but also enable you to substantially enhance your data analysis and reporting capabilities. Gone are the days of relatively small amounts of data—today's data environment demands more from business analysts than ever before. Now, with the help of this friendly, hands-on guide, you'll learn to use PowerPivot and Power Query to expand your skill-set from the one-dimensional spreadsheet to new territories, like relational databases, data integration, and multi-dimensional reporting. Demonstrates how Power Query is used to discover, connect to, and import your data Shows you how to use PowerPivot to model data once it's been imported Offers guidance on using these tools to make analyzing data easier Written by a Microsoft MVP in the lighthearted, fun style you've come to expect from the For Dummies brand If you spend your days analyzing data, Excel PowerPivot & Power Query For Dummies will get you up and running with the rich set of Excel tools and reporting capabilities that will make your life—and work—easier.

Explore the mysteries of Exploratory Factor Analysis (EFA) with SAS with an applied and user-friendly approach.

Exploratory Factor Analysis with SAS focuses solely on EFA, presenting a thorough and modern treatise on the different options, in accessible language targeted to the practicing statistician or researcher. This book provides real-world examples using real data, guidance for implementing best practices in the context of SAS, interpretation of results for end users, and it provides resources on the book's author page. Faculty teaching with this book can utilize these resources for their classes, and individual users can learn at their own pace, reinforcing their comprehension as they go.

Exploratory Factor Analysis with SAS reviews each of the major steps in EFA: data cleaning, extraction, rotation, interpretation, and replication. The last step, replication, is discussed less frequently in the context of EFA but, as we show, the results are of considerable use. Finally, two other practices that are commonly applied in EFA, estimation of factor scores and higher-order factors, are reviewed. Best practices are highlighted throughout the chapters.

A rudimentary working knowledge of SAS is required but no familiarity with EFA or with the SAS routines that are related to EFA is assumed.

Using SAS University Edition? You can use the code and data sets provided with this book. This helpful link will get you started: http://support.sas.com/publishing/import_ue.data.html

The SAS Programmer's PROC REPORT Handbook: Basic to Advanced Reporting Techniques is intended for programmers of all skill levels. Learn how to link multiple reports, add graphics and logos, and manipulate table of contents values to help refine your programs, macrotize where possible, troubleshoot easily, and get great-looking reports every time. From beginner to advanced, the examples in this book will help you harness all the power and capability of PROC REPORT.

With dozens of useful examples, this book is completely unique in three ways. First, this book describes the default behavior of table of contents nodes and labels, and how to change the nodes inside of PROC REPORT. The chapter also explains how to use PROC DOCUMENT in conjunction with PROC REPORT. Secondly, an entire chapter is dedicated to the troubleshooting of errors, warnings, and notes that are produced by PROC REPORT, including explanations of what generated the log message and how to avoid it. Third, the book explains how to preprocess your data in order to get the best output from PROC REPORT, and it explores reports that require multiple steps to create. Whether you work in banking/finance, pharmaceuticals, the health and life sciences, or government, this handbook is sure to be your new favorite reporting reference.

SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language.

This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS® 9.3 and SAS® 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS® 9.4, these graphs become positively easy to create.

Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots.

The issue facing most SAS programmers today is not that data space has become bigger ("Big Data"), but that our programming problem space has become bigger. Through the power of DS2, this book shows programmers how easily they can manage complex problems using modular coding techniques.

The DS2 Procedure: SAS Programming Methods at Work outlines the basic structure of a DS2 program and teaches you how each component can help you address problems. The DS2 programming language in SAS 9.4 simplifies and speeds data preparation with user-defined methods, storing methods and attributes in shareable packages, and threaded execution on multicore symmetric multiprocessing (SMP) and massively parallel processing (MPP) machines. This book is intended for all BASE SAS programmers looking to learn about DS2; readers need only an introductory level of SAS to get started. Topics covered include introductions to Object Oriented Programming methods, DATA step programs, user-defined methods, predefined packages, and threaded processing.

Clear, practical IPSAS guidance, explanation, and examples Interpretation and Application of IPSAS provides practical guidance on the implementation and application of the International Public Sector Accounting Standards. This book brings readers up to date on the standards, and describes their proper interpretation and real-world application. Examples and mini-case studies clarify the standards' roles throughout, giving readers a better understanding of complex processes, especially where the IPSAS deviate from IFRS. Readers also gain insight into smoothly navigating the transition for a public sector entity, which is moving to either IPSAS under accrual basis of accounting or to cash accounting IPSAS, plus an overview of IPSAS adoption status and methods around the world. Global public sector accounting is highly diversified, resulting in ongoing moves to harmonise standards worldwide. The IPSAS are international standards that largely follow the IFRS model, but differ in some key areas and include standards in places where IFRS has none. This book provides complete guidance to IPSAS, with clear explanation and expert insight. Understand the meaning and role of each standard Apply the standards to real-world scenarios Manage the process of transition to IPSAS These standards are meant to be followed by all public sector entities, including national and regional governments and local authorities. They've been adopted by the UN, NATO, the European Commission, and others, and either have been or soon will be adopted in Malaysia, Switzerland, Spain, and more.

Companies are collecting more data than ever. But, given how difficult it is to unify the many internal and external data streams they’ve built, more data doesn’t necessarily translate into better analytics. The real challenge is to provide deep and broad access to “a single source of truth” in their data that the typically slow ETL process for data warehousing cannot achieve. More than just fast access, analysts need the ability to explore data at a granular level. In this O’Reilly report, author Courtney Webster presents a roadmap to data centralization that will help your organization make data accessible, flexible, and actionable. Building a genuine data-driven culture depends on your company’s ability to quickly act upon new findings. This report explains how. Identify stakeholders: build a culture of trust and awareness among decision makers, data analysts, and quality management Create a data plan: define your needs, specify your metrics, identify data sources, and standardize metric definitions Centralize the data: evaluate each data source for existing common fields and, if you can, minor variances, and standardize data references Find the right tool(s) for the job: choose from legacy architecture tools, managed and cloud-only services, and data visualization or data exploration platforms Courtney Webster is a reformed chemist in the Washington, D.C. metro area. She spent a few years after grad school programming robots to do chemistry and is now managing web and mobile applications for clinical research trials.

Provides a point of entry for understanding the basics of the SAS Intelligence Platform. It discusses the benefits of the SAS Intelligence Platform to businesses, describes the architecture, and provides an overview of each software component. This document can be used alone or as an introduction to the deployment and administration guides.

"QlikView Essentials" is your guide to mastering QlikView, a versatile and powerful business intelligence tool. This practical book walks you through the complete QlikView workflow, from loading data and creating effective data models to designing interactive dashboards and deploying BI applications. Gain confidence in handling data and deriving actionable insights using QlikView. What this Book will help me do Understand the full QlikView workflow, encompassing data loading, visualization, and analysis. Utilize QlikView's capabilities to load data from various sources effectively, including JSON and QVD files. Implement robust solutions for addressing common data modeling challenges in BI projects. Design engaging and accessible dashboards that visualize crucial insights and support decision-making. Successfully deploy QlikView applications securely for optimal usage and adoption within your organization. Author(s) None Sinha is an experienced data analyst and QlikView expert with a passion for making data accessible and actionable for businesses. With years of experience working with business intelligence platforms, Sinha has provided invaluable insights and strategies to organizations in leveraging their data effectively. This book reflects their dedication to simplifying complex concepts and empowering readers with hands-on skills. Who is it for? This book is ideal for professionals who work with data and want to leverage QlikView for business intelligence tasks. If you are a data analyst, manager, or IT professional familiar with BI concepts but looking to enhance your QlikView expertise, this guide is for you. Even if you're new to QlikView but have a basic understanding of data manipulation, you will find this book an excellent resource. It's tailored to anyone who wishes to turn data into meaningful insights easily and effectively.

A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes. In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications. Key Features: Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues. Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Accompanied by a website featuring material from each case study, including datasets and relevant code. Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM. Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining.

This book discusses the current status of QoE research; reporting latest advances from various standardisation bodies (ITU, ETSI, IEEE, IETF) Multimedia Quality of Experience (QoE): Current Status and Future Requirements discusses the current status of QoE (Quality of Experience) research, providing guidelines on QoE assessment and management practice. Moreover, the book covers many different aspects of QoE research, including definition, standardization (ITU, ETSI, IEEE, IETF, etc.), measurement, management, and architectures. In addition, the authors bring together contributions from recognized experts (worldwide) in the area of subjective and objective QoE video assessment. Topics/chapters include: (1) QoE Definition and its relation/mapping to QoS; QoE Standardization activities; QoE Metrics for various media applications; QoE Subjective and Objective Evaluation Methodologies; QoE Control, Monitoring and Management strategies; End-to-End QoE Architectures in heterogeneous environments. Discusses the current status of QoE research; reporting latest advances from various standardisation bodies (e.g. ITU, ETSI, IEEE, IETF) Provides guidelines on QoE assessment and management practice Explores methods, means and architectures of QoE Addresses multiple technologies and requires input from multiple disciplines such as engineering, sociology and psychology Brings together contributions from recognized experts (worldwide) in the area of subjective and objective QoE video assessment Considers future requirements of QoE

This comprehensive guide to Qlik Sense provides you with everything you need to harness its data visualization capabilities effectively in your business or organization. Covering essential techniques and insights, this book focuses on understanding, implementing, and optimizing Qlik Sense for various data discovery applications. What this Book will help me do Understand the purpose and vision behind Qlik Sense and how it revolutionizes data discovery. Gain practical knowledge to manage, load, and visualize your data effectively using Qlik Sense. Learn how to administer Qlik Sense systems, ensuring secure and efficient usage. Explore extending Qlik Sense capabilities through its Dev Hub and other advanced features. Apply Qlik Sense in practical contexts, such as sales analytics, HR insights, and demographic studies. Author(s) Henric Cronström and co-authors, with vast experience directly from QlikTech International AB, bring authoritative insights into this book. Their expertise in business analytics and direct involvement with the development of Qlik Sense make this book a reliable and insightful resource for learners. Who is it for? This book is ideal for business intelligence professionals, data analysts, and decision-makers looking to maximize the potential of Qlik Sense. Whether you're new to Qlik Sense or have a general understanding of BI concepts, this guide will help you elevate your data discovery skills and apply actionable insights to real-world scenarios.

Describes the basics of using the SQL procedure and provides comprehensive reference information. The usage information includes retrieving data from single and multiple tables; selecting specific data from tables; subsetting, ordering, and summarizing data; updating tables; combining tables to create new tables and useful reports; performing queries on database management system (DBMS) tables; using PROC SQL with the SAS macro facility; and debugging and optimizing PROC SQL code. The reference information includes statements, dictionary components, and system options.

Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression.

Get the tools you need to use SAS® in clinical trial design!

Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods, edited by Sandeep M. Menon and Richard C. Zink, thoroughly covers several domains of modern clinical trial design: classical, group sequential, adaptive, and Bayesian methods that are applicable to and widely used in various phases of pharmaceutical development. Written for biostatisticians, pharmacometricians, clinical developers, and statistical programmers involved in the design, analysis, and interpretation of clinical trials, as well as students in graduate and postgraduate programs in statistics or biostatistics, the book touches on a wide variety of topics, including dose-response and dose-escalation designs; sequential methods to stop trials early for overwhelming efficacy, safety, or futility; Bayesian designs that incorporate historical data; adaptive sample size re-estimation; adaptive randomization to allocate subjects to more effective treatments; and population enrichment designs. Methods are illustrated using clinical trials from diverse therapeutic areas, including dermatology, endocrinology, infectious disease, neurology, oncology, and rheumatology. Individual chapters are authored by renowned contributors, experts, and key opinion leaders from the pharmaceutical/medical device industry or academia. Numerous real-world examples and sample SAS code enable users to readily apply novel clinical trial design and analysis methodologies in practice.

Contains the complete reference for all Base SAS procedures. Provides information about what each procedure does and, if relevant, the kind of output that it produces.