DOCSLIB.ORG

IBM DB2 Intelligent Miner for Data V6R1, Greater Competitiveness Through Informed Decision Making

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

Software Announcement September 21, 1999 IBM DB2 Intelligent Miner for Data V6R1, Greater Competitiveness Through Informed Decision Making Overview IBM GBIS: Global Business Intelligence Solutions continues to At a Glance IBM DB2 Intelligent Miner for offer data mining consultancy, Data enables knowledge workers to recognized as the best in the Now even more business identify and extract high-value industry. Also announced today is intelligence users can readily business intelligence from large DB2 Intelligent Miner for obtain the information they need to amounts of enterprise data. Relationship Marketing V6R1 which develop smart business strategies. Version 6 Release 1 (V6R1) offers provides industry-specific mining The enhanced capabilities of this new analysis, data exploration, and solutions such as cross selling and product let you: attrition analysis, and is part of the scalability options that enhance core • data mining capability while making DecisionEdge family. Analyze business information critical data more accessible to those more effectively with: DB2 Intelligent Miner for Data is who need it most. Business analysts − A new Associations and managers are empowered to based on a client/server architecture and mines data directly from DB2 as Visualizer make better informed decisions to − well as from other data sources via Extended data exploration improve customer relations, − DB2 DataJoiner . V6R1 executes in DB2 Intelligent Miner for maximize profits, and reduce risk of Relationship Marketing fraud and abuse. either serial or parallel mode on Windows NT , AIX , and Sun • Improve productivity through: DB2 Intelligent Miner for Data V6R1 Solaris servers. Supported clients places increased focus on bringing are Windows 95, Windows 98, − Visual Warehouse the value of data mining to more Windows NT, AIX, and OS/2 . Integration business intelligence users. − Export to spreadsheet Enhancements include integration Key Prerequisites − Copy to clipboard with warehouse and business − Print Visualizations • intelligence tools. Additional Server: Workstation running AIX, • Control costs with new business intelligence offerings Sun Solaris, or Windows NT scalability options: leverage product enhancements to • deliver end-to-end mining solutions Client: Workstation running AIX, − DB2 UDB Version 6.1 to the business analyst. Microsoft Windows 95/98/NT, support or OS/2 − SMP for AIX, Windows NT, SAP Business Warehouse: Joint SAP Sun Solaris and IBM technology pilots are Installation planning information is available on the Intelligent Miner for − Parallel processing for Value underway to enable SAP users to Prediction utilize Intelligent Miner to mine data Data Internet Web site: • Take advantage of powerful sourced from their SAP Business http://www.software.ibm.com resources through enhanced Warehouse. /iminer/fordata/ mining solutions: SPSS: SPSS integration can provide Intelligent Miner for Data users with − SAP Business Warehouse additional statistical analysis and Planned Availability Date integration data exploration capabilities. Other − SPSS integration at the glass recent SPSS announcements — September 24, 1999 − IBM GBIS consultants Version 10 client-server For ordering, contact: implementation, and intent to Your IBM representative, an IBM develop a direct interface for DB2 Business Partner, or IBM Americas access — further complement the Call Centers at solution. 800-IBM-CALL Reference: YE001 This announcement is provided for your information only. For additional information, contact your IBM representative, call 800-IBM-4YOU, or visit the IBM home page at: http://www.ibm.com. IBM United States IBM is a registered trademark of International Business Machines Corporation. 299-263 DataJoiner. Data and metadata can also be exchanged Description with warehouses and business intelligence tools and applications. Intelligent Miner for Data executes in either DB2 Intelligent Miner for Data enables knowledge workers serial or parallel mode on Windows NT, AIX and Sun to identify and extract high value business intelligence Solaris servers. Supported clients are Windows 95/98/NT, and communicate results to business users for further AIX, and OS/2. analysis and decision making. DB2 Intelligent Miner for Data is an integrated solution for the sophisticated Enhanced Intelligent Miner Solutions analysis of large amounts of enterprise data. SAP Business Warehouse: Joint SAP and IBM technology From its initial release, the Intelligent Miner has pilots are underway to enable SAP users to utilize embodied proven data mining technology with Intelligent Miner to mine data sourced from their SAP best-of-breed scalability and has been deployed in a Business Warehouse. Generated models are applied and variety of customer mining solutions. Version 2 ported back to the warehouse. As both data and enhancements included additional scalability options and metadata are imported and exported, users will be able placed significant emphasis on usability and productivity to define data once. for data mining analysts. While Version 6.1 offers further enhancements in core capabilities, a new area of SPSS: SPSS integration will afford Intelligent Miner for emphasis supports the emerging maturation of data Data users additional statistical analysis and data mining in Intelligent Miner customer installations. exploration capabilities. Integration at the glass will provide a seamless user interface to utilize Intelligent Version 6.1 (V6R1) Objectives: DB2 Intelligent Miner for Miner for Data and SPSS functions iteratively during the Data V6R1 offers new analysis, data exploration, and data mining process. scalability options which enhance core data mining capability. In addition, V6R1 places increased focus on Concurrently, SPSS announces the availability of bringing the value of data mining to more business Version 10, a client/server implementation, for its intelligence users by broadening access to mining statistical analysis offerings. These announcements function and results at the business analyst′s desktop. augment the recent SPSS stated intent to develop a direct Enhancements include integration with warehouse and interface for DB2 access. business intelligence tools, and improved communication of data mining results to business analysts. Integrated IBM GBIS: Global Business Intelligence Solutions (GBIS) business intelligence solutions leverage product announces DB2 Intelligent Miner for Relationship enhancements to deliver custom mining solutions to Marketing V6R1 and continues to offer data mining business analysts. consultancy which is recognized in the industry for excellence and expertise. Enhancements Targeted to the Data Mining Analyst: DB2 Intelligent Miner for Relationship Marketing (IM for V6R1 offers an additional scalability option in symmetric RM) becomes a program product with V6R1 and utilizes multiprocessor (SMP) support. Users will be able to the mining technology of DB2 Intelligent Miner for Data exploit the parallel processing capabilities of SMP V6R1. Intelligent Miner for Relationship Marketing hardware configurations operating AIX, Windows NT, or provides industry-specific solutions such as cross selling Sun Solaris for parallel data mining with the Intelligent and attrition analysis. IM for RM is part of the Miner. In addition to mining algorithms which already DecisionEdge family. operate in parallel, the value prediction algorithm will be — enhanced with parallel processing models generated Version 6.1 Highlights can be applied in parallel. All algorithms implemented to execute in parallel on an SP system will now be able to • A new, highly interactive Associations Visualizer execute utilizing SMP support as well. facilitates interpretation of mining results created by Associations Discovery. A variety of textual and DB2 Universal Database (UDB) V6R1 databases will be graphical representations are provided with user fully supported by all mining algorithms. New DB2 UDB customization and filtering options. (Available on index features and extended column names will be Windows clients only.) utilized by the Intelligent Miner. DB2 DataJoiner can be used by the Intelligent Miner to mine non-DB2 databases, • SMP processors are supported under AIX, Sun Solaris, including both read and write operations. and Windows NT, thereby increasing Intelligent Miner parallel processing options available to users mining Enhancements Targeted to the Business Analyst: A very large databases. powerful new visualizer is provided for interpreting the • mining results created by the Associations Discovery Parallel enhancements to the Value Prediction algorithm. Actually comprised of a linked set of textual algorithm provide potential performance improvement and graphical representations, the new visualizer is when applying generated models in parallel. aimed at facilitating business communications. • Support for DB2 UDB V6R1 includes mining data from, and applying model results to, DB2 UDB Version 6 Enablement features of the DB2 Intelligent Miner for Data databases. New Version 6 index features and provide the mechanisms for integration of business extended column names are utilized by the Intelligent intelligence tools at the glass. Applying model results to Miner. the database enriches the information available to business analysts through familiar business intelligence • DB2 DataJoiner can be used to mine non-DB2 tools they use every day. Seamless tool integration at the relational data, including both read and write glass facilitates
Recommended publications
  • SPSS to Orthosim File Conversion Utility Helpfile V.1.4

    SPSS to Orthosim File Conversion Utility Helpfile V.1.4

    SPSS to Orthosim File Conversion Utility Helpfile v.1.4 Paul Barrett Advanced Projects R&D Ltd. Auckland New Zealand email: [email protected] Web: www.pbarrett.net 30th December, 2019 Contents 3 Table of Contents Part I Introduction 5 1 Installation Details ................................................................................................................................... 7 2 Extracting Matrices from SPSS - Cut and Paste ................................................................................................................................... 8 3 Extracting Matrices from SPSS: Orthogonal Factors - E.x..c..e..l. .E..x..p..o..r.t................................................................................................................. 17 4 Extracting Matrices from SPSS: Oblique Factors - Exce.l. .E..x..p..o..r..t...................................................................................................................... 24 5 Creating Orthogonal Factor Orthosim Files ................................................................................................................................... 32 6 Creating Oblique Factor Orthosim Files ................................................................................................................................... 41 3 Paul Barrett Part I 6 SPSS to Orthosim File Conversion Utility Helpfile v.1.4 1 Introduction SPSS-to-Orthosim converts SPSS 11/12/13/14 factor loading and factor correlation matrices into the fixed-format .vf (simple ASCII text) files
  • Integrating Excel, SQL, and SPSS Within an Introductory Finance Intrinsic Value Assignment

    Integrating Excel, SQL, and SPSS Within an Introductory Finance Intrinsic Value Assignment

    Journal of Finance and Accountancy Volume 20, September, 2015 Integrating Excel, SQL, and SPSS within an Introductory Finance Intrinsic Value Assignment Richard Walstra Dominican University Anne Drougas Dominican University Steve Harrington Dominican University ABSTRACT In 2013, the Association to Advance Collegiate Schools of Business (AACSB) issued revised accreditation standards to address a “new era” of business education. The standards recognize that students will be entering a data-driven world and need skills in information technology to analyze and manage data. Employer surveys also emphasize the importance of technological skills and knowledge in a rapidly changing environment. To address these challenges, business faculty in all disciplines must adapt course content to incorporate software tools and statistical applications and integrate active learning tools that provide students with hands-on experience. This paper describes a technology-based, business valuation assignment instructors can employ within an undergraduate managerial finance course. The assignment draws upon historical financial data from the restaurant industry as students predict the intrinsic value of a firm through the application of various software products. Students receive data in an Access database and create SQL queries to determine free cash flows before transferring information into Excel for further analysis. Students continue by uploading key data elements into SPSS and performing statistical analysis on three growth models in order to identify a desired predictor of intrinsic value. The assignment develops students’ abilities to navigate software tools, understand statistical concepts, and apply quantitative decision making. Key Words: Business valuation, growth rates, software tools Copyright statement: Authors retain the copyright to the manuscripts published in AABRI journals.
  • IBM DB2 for Z/OS: the Database for Gaining a Competitive Advantage!

    IBM DB2 for Z/OS: the Database for Gaining a Competitive Advantage!

    Why You Should Read This Book Tom Ramey, Director, DB2 for z/OS IBM Silicon Valley Laboratory “This book is a ‘must read’ for Enterprise customers and contains a wealth of valuable information! “It is clear that there is a technology paradigm shift underway, and this is opening enormous opportunities for companies in all industries. Adoption of Cloud, Mobile, and Analytics promises to revolutionize the way we do business and will add value to a company’s business processes across all functions from sales, marketing, procurement, manufacturing and finance. “IT will play a significant role enabling this shift. Read this book and find out how to integrate the heart of your infrastructure, DB2 for z/OS, with new technologies in order to maximize your investment and drive new value for your customers.” Located at IBM’s Silicon Valley Laboratory, Tom is the director of IBM’s premiere relational database management system. His responsibilities include Architecture, Development, Service, and Customer Support for DB2. He leads development labs in the United States, Germany, and China. Tom works closely with IBM’s largest clients to ensure that DB2 for z/OS continues as the leading solution for modern applications, encompassing OLTP to mobile to analytics. At the same time he continues an uncompromising focus on meeting the needs of the most demanding operational environments on Earth, through DB2’s industry- leading performance, availability, scaling, and security capabilities. IBM DB2 for z/OS: The Database for Gaining a Competitive Advantage! Shantan Kethireddy Jane Man Surekha Parekh Pallavi Priyadarshini Maryela Weihrauch MC Press Online, LLC Boise, ID 83703 USA IBM DB2 for z/OS: The Database for Gaining a Competitive Advantage! Shantan Kethireddy, Jane Man, Surekha Parekh, Pallavi Priyadarshini, and Maryela Weihrauch First Edition First Printing—October 2015 © Copyright 2015 IBM.
  • Revised Naming for IBM Db2 Family Products

    Revised Naming for IBM Db2 Family Products

    IBM United States Software Announcement 217-363, dated July 18, 2017 Revised naming for IBM Db2 family products Table of contents 1 Overview 4 Ordering information 3 Planned availability date 4 Terms and conditions 3 Program number 5 Prices Overview IBM(R) Db2 is the database of choice for enterprise-wide solutions because it offers extreme performance, flexibility, scalability, and reliability for any size organization. IBM is organizing around the Db2 brand and, as a result, there will be name changes to all of the Db2 offerings. The dashDBTM family will now be renamed to Db2 and DB2(R) will now be referred to as Db2. The program numbers, part numbers, terms and conditions, and pricing will remain the same. The program names, service descriptions, and license information documents are updated to reflect the new names. The part number descriptions are updated to reflect the changes to the program names embedded in the descriptions. You do not need to make any changes to your systems and our offerings will contain the same technology with new names. The following table maps the program numbers from their prior names to their new names: Program number Prior program New program Effective date name name 5725-W92 IBM DB2 on Cloud IBM Db2 Hosted July 18, 2017 5725-U38 IBM dashDB for IBM Db2 July 18, 2017 Analytics Warehouse on Cloud 5725-U32 IBM Bluemix(R) IBM Bluemix July 18, 2017 Dedicated Data Dedicated Data Repositories Repositories 5737-C74 IBM dashDB IBM Db2 on Cloud July 18, 2017 Enterprise for Transactions SaaS 5724-M15 DB2 ConnectTM
  • A FORTRAN 77 Program for a Nonparametric Item Response Model: the Mokken Scale Analysis

    A FORTRAN 77 Program for a Nonparametric Item Response Model: the Mokken Scale Analysis

    BehaviorResearch Methods, Instruments, & Computers 1988, 20 (5), 471-480 A FORTRAN 77 program for a nonparametric item response model: The Mokken scale analysis JOHANNES KINGMA University of Utah, Salt Lake City, Utah and TERRY TAERUM University ofAlberta, Edmonton, Alberta, Canada A nonparametric item response theory model-the Mokken scale analysis (a stochastic elabo­ ration of the deterministic Guttman scale}-and a computer program that performs this analysis are described. Three procedures of scaling are distinguished: a search procedure, an evaluation of the whole set of items, and an extension of an existing scale. All procedures provide a coeffi­ cient of scalability for all items that meet the criteria of the Mokken model and an item coeffi­ cient of scalability for every item. Four different types of reliability coefficient are computed both for the entire set of items and for the scalable items. A test of robustness of the found scale can be performed to analyze whether the scale is invariant across different subgroups or samples. This robustness test serves as a goodness offit test for the established scale. The program is writ­ ten in FORTRAN 77. Two versions are available, an SPSS-X procedure program (which can be used with the SPSS-X mainframe package) and a stand-alone program suitable for both main­ frame and microcomputers. The Mokken scale model is a stochastic elaboration of which both mainframe and MS-DOS versions are avail­ the well-known deterministic Guttman scale (Mokken, able. These programs, both named Mokscal, perform the 1971; Mokken & Lewis, 1982; Mokken, Lewis, & Mokken scale analysis. Before presenting a review of the Sytsma, 1986).
  • Part 2 the Next Generation Iseries... Simplicity in an on Demand World

    Part 2 the Next Generation Iseries... Simplicity in an on Demand World

    IBM eServerJ iSeriesJ GP03 Technical Overview - Part 2 The Next Generation iSeries... Simplicity in an On Demand World January, May 2003 Announcements © 2000-2003 IBM Corporation IBM eServer iSeries The Customer Challenge: Solving the Cost3 Equation 2. Cost of Ongoing Operations ... Ongoing cost of skills to deploy and manage solutions © 2000-2003 IBM Corporation IBM eServer iSeries Enterprise IT management Made Simple OS/400 V5R2 Highlights Performance at your fingertips Flexible Capacity Upgrade on Demand i825, i870 and i890 Dynamic logical partitioning for award-winning 64-bit Linux7 Intuitive iSeries Navigator workload management tools Adaptive storage virtualization for high availability Mainframe-class functionality with switched disk cluster management Self-optimizing, multiple IBM DB27 UDB images for business unit consolidation Extensive Windows server management now supports Microsoft7 Cluster Service Flexible, secure management of e-business infrastructure Industry's first IBM Autonomous Computing Initiative inspired Enterprise Identity Mapping facilitates true single signon High performance Apache Web serving with secure sockets and caching accelerators Simple and pervasive operations with wireless-optimized Web-ready micro-drivers © 2000-2003 IBM Corporation IBM eServer iSeries Notes: Enterprise IT Management Made Simple OS/400 V5R2 builds on the mainframe-class management functions of OS/400 V5R1, such as dynamic logical partitioning with built-in graphical management tools such as iSeries Navigator. OS/400 V5R2 continues to focus on enterprise-class management tools with new self-managing technologies from IBM's Autonomic Computing project. V5R2 also extends many of the virtualization technologies available on the iSeries, to further assist clustering and business continuity solutions. For example, switched disk cluster services are extended with V5R2 to support database objects.
  • 2018 Corporate Responsibility Report

    2018 Corporate Responsibility Report

    2018 Corporate Responsibility Report Trust and responsibility. Earned and practiced daily. #GoodTechIBM IBM 2018 Corporate Responsibility Report | 1 Trust and responsibility. Earned and practiced daily. We have seen, for more than a century, that when to the boardroom. They are core to every — We invested hundreds of millions of dollars in we apply science to real-world problems, we can relationship — with our employees, our clients, programs to help train and prepare the global create a tomorrow that is better than today. More our shareholders, and the communities in which workforce for this new era. These initiatives sustainable. More equitable. More secure. we live and work. include 21st century apprenticeship programs, returnships for women reentering In fact, we have never known a time when In this report, you will read about the many the workforce, veterans programs and science and technology had more potential to achievements we made to further this foundation volunteer skills-building sessions for more benefit society than right now. of trust and responsibility throughout 2018. than 3.2 million students worldwide. And we For example: helped scale the P-TECH™ school model — a In the last 10 years alone, the world has achieved six-year program that offers a high school Ginni Rometty at P-TECH in Brooklyn, N.Y., May 2019 stunning advancements, from breaking the — After reaching our aggressive goals to increase diploma and an associate’s degree, along AI winter to the dawn of quantum computing. our use of renewable energy and reduce CO2 with real-world working experience and These and other advanced technologies have emissions 4 years ahead of schedule, we set mentorship — at no cost to students.
  • IBM Db2 11.5 Delivers Enhancements to Help Automate Data Management, Eliminate ETL, and Support Artificial Intelligence Data Workloads

    IBM Db2 11.5 Delivers Enhancements to Help Automate Data Management, Eliminate ETL, and Support Artificial Intelligence Data Workloads

    IBM Japan Software Announcement JP19-0637, dated October 29, 2019 Revised information: IBM Db2 11.5 delivers enhancements to help automate data management, eliminate ETL, and support artificial intelligence data workloads Table of contents 1 Overview 9 Publications 2 Key requirements 9 Technical information 2 Planned availability date 9 Ordering information 2 Description 10 Terms and conditions 8 Program number 10 Prices At a glance IBM(R) Db2(R) 11.5 offers database efficiency, simplicity, and reliability in the form of new features and enhancements that address a variety of business requirements, offering robust enterprise security features, simplified installation and deployment, improved usability and adoption, a streamlined upgrade process, enhancements to large databases, and improvements to BLU Acceleration(R): • Three editions are now available: IBM Db2 Community Edition, IBM Db2 Standard Edition, and IBM Db2 Advanced Edition. All three editions provide unrestricted access to the full feature set of IBM Db2. • IBM Db2 Advanced Recovery Feature is available with all three editions (Db2 Community Edition, Db2 Standard Edition, and Db2 Advanced Edition). This feature consists of advanced database backup, recovery, and data extraction tools that can help you improve data availability, mitigate risk, and accelerate crucial administrative tasks when time is limited. Overview This announcement supersedes the previous Software Announcement JP19-0260, dated June 4, 2019. The IBM Db2 family of hybrid data management solutions is built on an intelligent Common SQL Engine that is designed for scalability and flexibility and to run on premises, and any private and public cloud. IBM Db2 11.5 is available through three editions: • Db2 Community Edition • Db2 Standard Edition • Db2 Advanced Edition All three editions provide unrestricted access to the full feature set of IBM Db2.
  • IBM SPSS Orientation: Version 23

    IBM SPSS Orientation: Version 23

    IBM SPSS Orientation: Version 23 Installation & Introduction to Operations [6 and 12-Month Licence version] This document provides an introduction to IBM SPSS, explaining how to install and run the program, as well as a basic overview of its features. Your Real Estate Division course workbook will provide software instructions for running necessary statistical procedures. However, you are expected to have installed the software and have a working knowledge of how to operate the software program and interpret its results. In general, IBM SPSS is very easy to learn and use. The user interface is similar to that of Microsoft Word and Microsoft Excel and its output is easily transferred to these programs. There is comprehensive help available within the program as well as customer support. Note that the Real Estate Division’s courses do not cover all of the capabilities of the IBM SPSS program. For a complete explanation of statistical procedures not covered in the lessons, you should refer to the IBM SPSS Help menu found in the program. (Note: from this point on SPSS means IBM SPSS) Computer Requirements It is essential that students have at least a very basic knowledge of how a computer operates. If you are unfamiliar with the operation of personal computers, you may wish to visit your local bookstore for a “how to” manual or investigate schools, colleges, or libraries in your area which may offer a course designed for computer beginners. SPSS operates with a Windows or Mac operating system. To use SPSS, you will need to have basic computer skills in order to do the following: • download a program from a website; • start an application; • use a mouse; • use menus and submenus; • use click, select, and drop and drag actions; and • save files to a hard disk drive and open them again.
  • IBM Db2 on Cloud Solution Brief

    IBM Db2 on Cloud Solution Brief

    Hybrid Data Management IBM Db2 on Cloud A fully-managed, relational database on IBM Cloud and Amazon Web Services with elastic scaling and autonomous failover 1 IBM® Db2® on Cloud is a fully-managed, SQL cloud database that can be provisioned on IBM Cloud™ and Amazon Web Services, eliminating the time and expense of hardware set up, software installation, and general maintenance. Db2 on Cloud provides seamless compatibility, integration, and licensing with the greater Db2 family, making your data highly portable and extremely flexible. Through the Db2 offering ecosystem, businesses are able to desegregate systems of record and gain true analytical insight regardless of data source or type. Db2 on Cloud and the greater Db2 family support hybrid, multicloud architectures, providing access to intelligent analytics at the data source, insights across the business, and flexibility to support changing workloads and consumptions cases. Whether you’re looking to build cloud-native applications, transition to a fully-managed instance of Db2, or offload certain workloads for disaster recovery, Db2 on Cloud provides the flexibility and agility needed to run fast queries and support enterprise-grade applications. Features and benefits of Db2 on Cloud Security and disaster recovery Cloud databases must provide technology to secure applications and run on a platform that provides functional, infrastructure, operational, network, and physical security. IBM Db2 on Cloud accomplishes this by encrypting data both at rest and in flight, so that data is better protected across its lifecycle. IBM Db2 on Cloud helps restrict data use to only approved parties with user authentication for platform services and resource access control.
  • Programming and Data Management for IBM SPSS Statistics 19

    Programming and Data Management for IBM SPSS Statistics 19

    Programming and Data Management for IBM SPSS Statistics 19 A Guide for IBM SPSS Statistics and SAS Users Raynald Levesque and SPSS Inc. Note: Before using this information and the product it supports, read the general information under “Notices” on p. 435. This document contains proprietary information of SPSS Inc, an IBM Company. It is provided under a license agreement and is protected by copyright law. The information contained in this publication does not include any product warranties, and any statements provided in this manual should not be interpreted as such. When you send information to IBM or SPSS, you grant IBM and SPSS a nonexclusive right to use or distribute the information in any way it believes appropriate without incurring any obligationtoyou. © Copyright SPSS Inc. 1989, 2010. Preface Experienced data analysts know that a successful analysis or meaningful report often requires more work in acquiring, merging, and transforming data than in specifying the analysis or report itself. IBM® SPSS® Statistics contains powerful tools for accomplishing and automating these tasks. While much of this capability is available through the graphical user interface, many of the most powerful features are available only through command syntax—and you can make the programming features of its command syntax significantly more powerful by adding the ability to combine it with a full-featured programming language. This book offers many examples of the kinds of things that you can accomplish using command syntax by itself and in combination with other programming language. For SAS Users If you have more experience with SAS for data management, see Chapter 32 for comparisons of the different approaches to handling various types of data management tasks.
  • SPSS Statistics 23.0.0.0 SPSS Statistics 23.0.0.0 Supported Operating Systems

    SPSS Statistics 23.0.0.0 SPSS Statistics 23.0.0.0 Supported Operating Systems

    Software Product Compatibility Reports Supported Operating Systems Product SPSS Statistics 23.0.0.0 SPSS Statistics 23.0.0.0 Supported Operating Systems Contents Included in this report Operating systems Glossary Disclaimers Report data as of 2016-12-27 01:20:00 EST 1 SPSS Statistics 23.0.0.0 Supported Operating Systems Included in this report This report can be generated with filters applied to operating system platforms, components, and/or software capabilities. This section reflects how the report was filtered when it was generated. Legend • The information about this item is included in this report. • The information about this item is not included in the report filter. Platforms Components • AIX Desktop • Linux • IBM SPSS Statistics Client Mac OS • Server • Solaris • IBM SPSS Statistics Server • Windows Report data as of 2016-12-27 01:20:00 EST 2 SPSS Statistics 23.0.0.0 Supported Operating Systems Operating Systems The operating sysytem section specifies the operating systems that SPSS Component support Statistics 23.0.0.0 supports, organized by operating system familiy. Full Operating system families Partial AIX Linux Mac OS Solaris Windows None AIX Summary Operating system OperatingHardware Bitness Product Components Notes? system minimum minimum AIX 6.1 Base POWER 64-Exploit 23.0.0.0 Yes System - Big Endian AIX 7.1 Base POWER 64-Exploit 23.0.0.0 Yes System - Big Endian Report data as of 2016-12-27 01:20:00 EST 3 SPSS Statistics 23.0.0.0 Supported Operating Systems AIX 6.1 POWER System - Big Endian Legend: Supported Not supported