building business intelligence using sas

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Building Business Intelligence Using Sas

Author : Tricia Aanderud
ISBN : 9781607649946
Genre : Mathematics
File Size : 66. 73 MB
Format : PDF, Docs
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Business intelligence (BI) software provides an interface for multiple audiences to dissect, discover, and decide what the data means. These reporting tools make dynamic information available to all users, giving everyone the ability to manipulate results and further understand the business. There is significant power in reducing the data gatekeeper role in your organization so that each person can quickly interact with data and uncover additional value. SAS offers a BI solution that provides mechanisms to reach every level of the organization. Each tool in this solution provides a different amount of complexity and functionality to aid a broad deployment. Building Business Intelligence Using SAS: Content Development Examples, by Tricia Aanderud and Angela Hall, clarifies how you can fully leverage each SAS BI solution component to ensure a successful implementation. Focusing on the SAS BI Clients, the authors provide a quick-start guide loaded with examples and tips that will help users move quickly from using only one of the SAS BI Clients to using a significant portion of the system. So if you are a SAS BI or SAS Enterprise BI user, but you aren't yet using all the components of the solution, this book is the resource that you need. In addition, the tips and techniques provided in this book will prove invaluable for advanced SAS BI and SAS Enterprise BI users who are studying for SAS Certified BI Content Developer certification. This book is part of the SAS Press program.

Sas Business Intelligence For The Health Care Industry

Author : Renu Gehring
ISBN : 9781612903231
Genre : Computers
File Size : 36. 96 MB
Format : PDF, Mobi
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SAS Business Intelligence for the Health Care Industry: Practical Applications teaches health care executives, managers, providers, and business analysts how to use SAS Business Intelligence (BI) tools to convert data into knowledge and value at all levels in the health care industry. This book demonstrates how SAS BI solutions can be applied to the health care industry and offers detailed explanations of code and tasks in an approachable case study format. All applications are created with sample data that has the richness and complexity of operational health care data. With its level of depth and perfect blend of technology and business contexts, this book provides health care analysts, researchers, and statisticians with information and examples that can be used effectively and immediately. It is an indispensable aid to the health care professional in keeping up with a fast-changing industry.

Creating And Using Sas Stored Processes

Author : Renu Gehring
ISBN : 146991140X
Genre :
File Size : 34. 58 MB
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SAS stored processes harness the power of SAS programming and unleash it to non SAS users via Microsoft Office applications and the Internet. The second in the Tutorials in SAS Business Intelligence Series, Creating and Using SAS Stored Processes provides an example driven approach to creating and using SAS stored processes. Using mock hospital discharge data that is available for downloading, the tutorial guides the user in creating a wide variety of stored processes, including those with complex prompts involving macro programming. The tutorial also shows the reader how to access the stored processes through a suite of products in the SAS Business Intelligence Platform. Simply download the data and and recreate the stored processes described for an optimal learning experience.

Practical Business Intelligence

Author : Ahmed Sherif
ISBN : 9781785889974
Genre : Computers
File Size : 59. 75 MB
Format : PDF, Docs
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Learn to get the most out of your business data to optimize your business About This Book This book will enable and empower you to break free of the shackles of spreadsheets Learn to make informed decisions using the data at hand with this highly practical, comprehensive guide This book includes real-world use cases that teach you how analytics can be put to work to optimize your business Using a fictional transactional dataset in raw form, you'll work your way up to ultimately creating a fully-functional warehouse and a fleshed-out BI platform Who This Book Is For This book is for anyone who has wrangled with data to try to perform automated data analysis through visualizations for themselves or their customers. This highly-customized guide is for developers who know a bit about analytics but don't know how to make use of it in the field of business intelligence. What You Will Learn Create a BI environment that enables self-service reporting Understand SQL and the aggregation of data Develop a data model suitable for analytical reporting Connect a data warehouse to the analytic reporting tools Understand the specific benefits behind visualizations with D3.js, R, Tableau, QlikView, and Python Get to know the best practices to develop various reports and applications when using BI tools Explore the field of data analysis with all the data we will use for reporting In Detail Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business. The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company. It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market. Style and approach Packed with real-world examples, this pragmatic guide helps you polish your data and make informed decisions for your business. We cover both business and data analysis perspectives, blending theory and practical hands-on work so that you perceive data as a business asset.

Big Data Analytics With Sas

Author : David Pope
ISBN : 9781788294317
Genre : Computers
File Size : 35. 29 MB
Format : PDF
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Leverage the capabilities of SAS to process and analyze Big Data About This Book Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory. What You Will Learn Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems. In Detail SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data. The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS. Style and approach The book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both up and out which allows the power of SAS to combine with open source offerings such as Hadoop, Python, and R.

Data Management Solutions Using Sas Hash Table Operations

Author : Paul Dorfman
ISBN : 9781635260595
Genre : Computers
File Size : 45. 22 MB
Format : PDF
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Hash tables can do a lot more than you might think! Data Management Solutions Using SAS Hash Table Operations: A Business Intelligence Case Study concentrates on solving your challenging data management and analysis problems via the power of the SAS hash object, whose environment and tools make it possible to create complete dynamic solutions. To this end, this book provides an in-depth overview of the hash table as an in-memory database with the CRUD (Create, Retrieve, Update, Delete) cycle rendered by the hash object tools. By using this concept and focusing on real-world problems exemplified by sports data sets and statistics, this book seeks to help you take advantage of the hash object productively, in particular, but not limited to, the following tasks: select proper hash tools to perform hash table operations use proper hash table operations to support specific data management tasks use the dynamic, run-time nature of hash object programming understand the algorithmic principles behind hash table data look-up, retrieval, and aggregation learn how to perform data aggregation, for which the hash object is exceptionally well suited manage the hash table memory footprint, especially when processing big data use hash object techniques for other data processing tasks, such as filtering, combining, splitting, sorting, and unduplicating. Using this book, you will be able to answer your toughest questions quickly and in the most efficient way possible!

Practical Business Analytics Using Sas

Author : Shailendra Kadre
ISBN : 9781484200438
Genre : Computers
File Size : 28. 14 MB
Format : PDF, ePub, Docs
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Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

Agile Business Intelligence

Author : Stephan Trahasch
ISBN : 9783864918742
Genre : Computers
File Size : 31. 41 MB
Format : PDF, Mobi
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Agile Methoden und Vorgehensweisen werden heute auch in BI-Projekten erfolgreich und gewinnbringend eingesetzt. Dabei steht eine ganze Reihe unterschiedlicher Ansätze zur Steigerung der BI-Agilität zur Verfügung. Entscheidend für den Erfolg ist die ganzheitliche Betrachtung von BI-Architekturen, -Organisationsformen, -Technologien und an BI angepasste agile Vorgehensmodelle. Die Autoren erörtern in diesem Buch Agile Business Intelligence, indem sie zunächst BI-Agilität mithilfe eines Ordnungsrahmens definieren und strukturieren. Auf diesen Grundlagen aufbauend zeigen sie anhand von konkreten Fallstudien, wie Agilität in BI-Projekten umgesetzt werden kann. Hierbei handelt es sich beispielsweise um die Durchführung agiler Projekte zum Aufbau eines Data Warehouse oder um die Umsetzung von Sandboxes auf Basis von In-Memory-Technologien. Behandelt werden im Einzelnen: • Der Einsatz von Scrum in der Business Intelligence • Anforderungsmanagement durch User Stories • Modellierung agiler BI-Systeme • Data Vault für agile Data-Warehouse-Architekturen • Agile BI-Architekturen • Automatisiertes Testen • BI-Agilität: Relevanz, Anforderungen und Maßnahmen • Agil und dezentral zum Enterprise Data Warehouse Das Buch richtet sich an Praktiker aus dem BI-Projektmanagement und der BI-Entwicklung sowie an BI-Entscheider, BI-Berater und Mitarbeiter aus den Fachabteilungen, die für BI-Lösungen verantwortlich sind. In der Edition TDWI erscheinen Titel, die vom dpunkt.verlag gemeinsam mit dem TDWI Germany e.V. ausgewählt und konzipiert werden. Inhaltliche Schwerpunkte dieser Reihe sind Business Intelligence und Data Warehousing.

Business Intelligence Success Factors

Author : Olivia Parr Rud
ISBN : 0470488409
Genre : Business & Economics
File Size : 32. 4 MB
Format : PDF, ePub
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Praise for Business Intelligence Success Factors: Tools for Aligning your business in the Global Economy "Olivia Parr Rud does a remarkable job of weaving together many topics in a strategic way. As 'quants,' we're fascinated with data and fact-based decision-making. But success only comes when you consider the human factor, especially effective communications. Making topics like evolutionary biology, complexity science, and systems thinking relevant for business success is a unique and compelling view. As Max Frisch said, 'We hired workers and human beings came instead.'" —Anne Milley, Senior Director, Technology Product Marketing, SAS "Business Intelligence Success Factors is a must-read for anyone implementing BI on an organizational level. This book explains the business landscape and the underlying reasons for our current volatility, offering clear guidance on navigating our information rich global economy." —Ron Powell, Editorial Director, Business Intelligence Network Transform challenges into opportunities with emerging Business Intelligence technologies Written by an expert in data mining and statistical analysis, this valuable resource unveils the connection between the increased use of BI and the need for new, proven theories and models in BI, as well as the guidance to implement them successfully in your organization. Are you ready to become adaptable? Learn how to harness today's rapidly evolving global economy with Business Intelligence Success Factors.

Administrative Healthcare Data

Author : Craig Dickstein
ISBN : 9781629593814
Genre : Mathematics
File Size : 25. 70 MB
Format : PDF, Kindle
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Provides a concise yet complete foundational knowledge of the business of healthcare. Administrative Healthcare Data: A Guide to Its Origin, Content, and Application Using SAS explains the source and content of administrative healthcare data, which is the product of financial reimbursement for healthcare services. The book integrates the business knowledge of healthcare data with practical and pertinent case studies as shown in SAS Enterprise Guide. The book's blend of SAS programming and industry knowledge is unique. It illustrates concepts of administrative healthcare data with actual healthcare case studies. All applications are created with SAS Enterprise Guide or Base SAS and can be taken straight from the book and put to use immediately. Central topics addressed include key players in the healthcare industry and the roles they play; claim submission mechanisms used by different providers; medical claim content, both pre- and post-adjudication. Written for healthcare analysts regardless of their level of proficiency with SAS Enterprise Guide, SAS programming, or healthcare industry knowledge, Administrative Healthcare Data is a must-read for analysts new to the industry and a great review for experienced healthcare analysts. This book is part of the SAS Press program.

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