White paper search results for: Data mining and data analysis
Analyzing Survey Text: A Brief Overview - PDF file
SPSS Inc. has been a pioneer in developing tools to analyze written communications, or text, more reliably and efficiently. We have also pioneered the development of solutions to support survey research about people’s characteristics, attitudes, behaviors, and beliefs. This paper provides a brief review of the role of text in survey research. Then it describes several approaches to analyzing survey text and provides a look at the workings of PASW Text Analytics for Surveys, a linguistics-based solution specifically designed for categorizing or “coding” survey text responses.
AnswerTree Algorithm Summary - PDF file
AnswerTree offers four powerful algorithms that enable you to build the best model, for any type of data. This document summarizes and compares the different types of algorithms used in AnswerTree: CHAID, Exhaustive CHAID, Classification and Regression Trees (C&RT) and QUEST.
(WP1)Better Healthcare with Data Mining - PDF file
Learn how clinicians and healthcare managers use data mining to find valuable new patterns in data, leading to potential improvement of resource utilization and patient health. This paper also briefly introduces the PASW Modeler data mining solution, which incorporates advanced machine learning technologies that extract complex interrelationships and decision-making rules from the data.
CRISP-DM 1.0: Step-by-step data mining guide - PDF file
To get the results that you expect from your data mining project, assess your business situation and evaluate how tools perform throughout the complete data mining process. To help in your evaluation, the following checklist has been compiled using CRISP-DM, the worldwide cross-industry standard process model for carrying out data mining projects.
(CRISPP)Data mining and crime analysis in the Richmond Police Department - PDF file
Learn how the Richmond (Virginia) Police Department uses data mining to help prevent and solve crimes. Authored by Dr. Colleen McCue of the department's Crime Analysis Unit, this white paper describes the many applications and benefits of using data mining for crime analysis.
Data Mining Deployment for High-ROI Predictive Analytics - PDF file
This white paper presents four decision optimization strategies, based on the proven CRISP-DM methodology, to help you deploy the results of advanced analysis-predictive models-and plan a predictive analytics solution for the greatest possible returns.
Demonstrate Accountability for Your Analytical Assets Throughout Your Organization - PDF file
If you use data mining or rules-based models to make key decisions, you may need to explain the basis for these decisions to satisfy compliance for Sarbanes-Oxley, Basel II, and other regulations. This executive brief explains how you can address regulatory compliance by using proven analytics management technology to automatically audit your predictive models, track your analytical assets over time, and centralize and secure predictive models. By doing so, you will be able to demonstrate compliance while protecting your analytical assets.
Excerpt from Data Warehousing: Strategies, Technologies and Techniques: Statistical Analysis - PDF file
Data mining is uncovering the hidden meaning and relationships in the massive amounts of data stored in the data warehouse. In short, the value of the data warehouse lies in the information that can be derived from its data through the mining process. (DMWP)
Field-tested data mining - PDF file
For critical issues facing private and public sector executives today, data mining makes the difference. From customer relationship management to risk management to improved production on the factory floor to detecting fraud and abuse, more leading-edge organizations are discovering every day that data mining gives them something reports and even OLAP can't - the ability to see ahead so they can proactively make changes to reach their goals.
(FIELDTEST)Full-information missing data analysis with Amos - PDF file
This white paper discusses how much more efficient estimation by full-information maximum likelihood can be, when compared to listwise or pairwise deletion methods commonly employed.
(AMOSP)Hard Hat Area: Myths and Pitfalls of Data Mining - PDF file
This white paper reveals the truth behind data mining myths, prepares you for potential data mining challenges, and describes the steps you can take to reduce risk.
How to get more value from your survey data - PDF file
This white paper introduces you to four types of advanced analysis—cluster, factor, reliability, and regression—that can help you gain more important insights that you might miss using more basic methods. By expanding your survey analysis toolkit, you can delve deeper into your data to increase your understanding of survey responses and respondents. Download this white paper today to learn more about these important analysis methods. (HMVSWP-1203)
Improving tax administration with data mining - PDF file
Both federal and state tax administration agencies must use their limited resources to achieve maximal taxpayer compliance. This white paper illustrates how data mining helps tax agencies achieve compliance goals and improve operating efficiency using their existing resources. The paper begins with an overview of data mining and then details an actual tax compliance application implemented by Elite Analytics, LLC, a data mining consulting services firm and SPSS Inc. partner, for the Audit Division of the Texas Comptroller of Public Accounts (CPA). Download this white paper today to learn more about using data mining to improve taxpayer compliance.
(TCWP)Increase Customer Value with Predictive Analytics - PDF file
This white paper describes how gaming organizations can address common business problems and ultimately increase customer value through the use of predictive analytics.It includes a definition and overview of predictive analytics, along with specific solutions and applications for gaming organizations.
Let Customer Feedback do the Driving - PDF file
A roadmap to improving, using and taking action on the velocity and volume of customer-driven innovation within the enterprise.
Linear mixed-effects modeling in PASW Statistics - PDF file
The linear mixed-effects model (MIXED) procedure in PASW Statistics enables you to fit linear mixed-effects models to data sampled from normal distributions. This report illustrates the types of models that MIXED handles and compares MIXED to the general linear model (GLM) and variance components (VARCOMP) procedures.
(LMEMWP-1002)Mass Valuation with PASW Statistics - PDF file
PASW Statistics is a powerful statistical analytical product that provides an ideal toolset for assessors and others engaged in property valuation. It works in conjunction with all common databases and computer-assisted mass appraisal (CAMA) packages. Assessors can PASW Statistics to enhance their existing CAMA systems in a variety of ways. This white paper outlines some of the most common applications by providing an overview of the principle SPSS features assessors use and examples of valuation output in PASW Statistics. Written by Robert J. Gloudemans of Almy, Gloudemans, Jacobs & Denne.
(MVWSWP)Mastering New Challenges in Text Analytics - PDF file
Download this 24-page white paper to learn more about how text analytics helps organizations gain greater insight by using advanced techniques to analyze a wide variety of text items--everything from scientific papers to blog posts. The paper describes various approaches with a focus on the natural language processing techniques used by SPSS Inc.’s text analytics solutions. It also describes the role text analysis plays in predictive analytics.
Nucleus Research - IBM and SPSS: Analytics for Everyone - PDF file
IBM's SPSS acquisition gives SPSS users a broader support network, IBM
Cognos users a predictive analytics platform, and more enterprise users
one-stop shopping. Looking to the future, that could mean analytics - and
better predictive decision making - on every desktop.
Nucleus Research - IBM and SPSS: Analytics for Everyone - Web Page
IBM's SPSS acquisition gives SPSS users a broader support network, IBM
Cognos users a predictive analytics platform, and more enterprise users
one-stop shopping. Looking to the future, that could mean analytics - and
better predictive decision making - on every desktop.
Nucleus Research Reveals the Real ROI of SPSS Predictive Analytics - PDF file
Predictive analytics solutions take a step beyond basic business intelligence tools, using complex statistical models and algorithms as well as other data mining and analysis tools. One of the key vendors in this space, SPSS offers predictive analytic applications, data mining and text mining tools, and comprehensive statistical analysis software to support decision making processes.
Optimal scaling methods for multivariate categorical data analysis - PDF file
Optimal scaling has a long history, briefly reviewed in this paper. The Data Theory Group at Leiden University in the Netherlands has done much to systematize optimal scaling, making it a vital ingredient of a comprehensive multidimensional data analysis framework called the Data Theory Scaling System (DTSS). The system has a lot of potential for the analysis of multivariate data that are qualitative, non-normally distributed, or incomplete. Optimal scalong can easily deal with nonlinear relationships between the variables to be analyzed. A crucial aspect of DTSS is the graphical display of the results of the analysis.
(SWPOPT)PASW Modeler Server Performance, Optimization, and Sizing - PDF file
Data mining offers many benefits, including a more detailed view of your customers, along with a clearer view of current conditions and deeper insight into future events. A high-performance data mining tool such as PASW Modeler can help you mine your data more efficiently and gain a significant return on investment (ROI).
Performing a Data Mining Tool Evaluation - PDF file
Data mining helps you make better decisions that result in better outcomes for your organization. This paper provides a checklist to help you evaluate data mining tools according to CRISP-DM, the cross-industry standard process model for carrying out data mining projects, and choose the best one for your needs.
Predictive Analytics: Extending the Value of Your Data Warehousing Investment - PDF file
TDWI Best Practices Report by Wayne W. Eckerson. Written for the IT and technical audience, this report is an introduction to SPSS and predictive analytics.
Save money and make better decisions with SPSS Exact Tests - PDF file
You can generate significant revenue and leads for your business with the right direct mail packet. But finding the best combination of list, offer and creative requires you to thoroughly test and carefully analyze the results of your campaign.
(WP13)ShowCase Suite BloorReport - PDF file
The ShowCase Suite is an end-to-end solution for developing and deploying data warehouse and data mart solutions within an IBM® System i5™ (iSeries™) environment. It supports both relational and Hyperion Essbase® implementations either in conjunction or individually. In addition, The Showcase Suite includes accelerator options for Sales Analysis and Financial Analysis, which will populate pre-built databases for JD Edwards (now part of PeopleSoft and, shortly, Oracle), SSA and Lawson Software users.
Statistics in government - PDF file
Why use statistics? What are the benefits of using an advanced statistical tool? This white paper highlights the strategic advantages of using statistical analysis techniques.
(SWPGOV)The Five Keys to Organic Growth: How to Drive Profitable Relationships with Predictive Analytics - PDF file
This white paper makes the case for using predictive analytics to drive organic growth, describes five ways to achieve organic growth, and explains two different methods for measuring financial return.
The Predictive Enterprise - PDF file
For senior marketers and decision makers, learn strategies and tactics for enabling a more innovative, predictive enterprise that maximizes the value of every customer interaction to "get, keep and grow" customers. This white paper:
The Risks of Using Spreadsheets for Statistical Analysis - PDF file
While spreadsheets are popular and useful tools, some tasks are beyond the limits of their capabilities. Download this white paper to learn the risks you may be running by using a spreadsheet instead of SPSS Inc. statistical software to carry out statistical calculations.
Thinking About Exact Statistics - PDF file
In this article, we review the fundamentals of statistical testing, define the concept of an exact test, and give an example. Note that we focus on Type 1 errors and do not directly address the subjects of Type II error or statistical power.
Three Proven Methods to Achieve a Higher ROI from Data Mining - PDF file
This executive brief describes some of the benefits to be gained from advanced data mining, and then shows you how your organization could go about achieving a greater return on investment (ROI). It describes several ways to do this: incorporating additional types of data in your predictive models, expanding the number and nature of your data mining projects, and deploying predictive models and insights more broadly throughout your organization.
Turning Customer Interactions into Money: Using Predictive Analytics to Achieve Stellar ROI - PDF file
This whitepaper makes the case for using predictive analytics as a catalyst for that growth. It includes best practices from several global companies including: Cablecom, Royal & Sun Alliance, and T. Rowe Price. Ultimately, it is about maximizing the level of understanding that can be achieved with customer data, and then taking proactive steps to establish new processes and activities based on that knowledge to achieve stellar ROI results.
Two Rivers: The Confluence of Data Mining and Market Research for Smarter CRM - PDF file
For companies with large numbers of customers, Data Mining and Market Research are often employed to gain intelligence into customer behavior and attitudes. Complete customer analysis requires these two disciplines be integrated, from an organizational and technical perspective. (dmmrwp)
Using Data Mining to Detect Insurance Fraud - PDF file
Every organization that exchanges money with customers, service providers, or vendors risks exposure to fraud and abuse. Insurance companies around the world lose more and more money through fraudulent claims each year. Agencies can now combine data mining with existing fraud detection and prevention efforts to improve accuracy, decrease manpower and minimize loss. To ensure adjusters target claims which have the greatest likelihood of adjustment, many insurance companies have incorporated data mining into their investigating and auditing processes. Learn how data mining combines powerful analytical techniques with your firsthand business knowledge to turn data you’ve already acquired into the insight you need to identify probable instances of fraud and abuse.
Product demo results for: Data mining and data analysis
Data mining and Clementine—an overview and demonstration - (0MB)
Data mining—the essential tool successful organizations turn to for accessing critical insight in their data—is quickly evolving into a must-have business process. This pre-recorded presentation and software demonstration presents how to implement Clementine, SPSS’ data mining workbench, into your organization. This presentation also includes a discussion of the benefits of data mining, as well as practical tips for getting the most out of your data. This presentation is the first in a four-part series, and is approximately one hour long.
PASW Statistics 18 - (305MB)
PASW Statistics™ is a modular, tightly integrated, full-featured software comprised of PASW Statistics Base and a range of modules. Each module—PASW Advanced Statistics, PASW Bootstrapping, PASW Categories, PASW Complex Samples, PASW Conjoint, PASW Custom Tables, PASW Data Preparation, PASW Decision Trees, PASW Direct Marketing, PASW Exact Tests, PASW Forecasting, PASW Missing Values, PASW Neural Networks, and PASW Regression—adds extra functionality to your system.
This evaluation version will install the entire PASW Statistics package for 21 days for Windows and 21 days for Mac. This version is to be used only to review, demonstrate and evaluate PASW Statistics, and cannot be reinstalled once the time period has expired. 64-bit is now available for Windows though not as a trial version. For purchasing options, please contact SPSS Inc. sales at [email protected].
This trial version is a pre-purchase evaluation, and is not meant for student course work. If you are a student, view our options available for students.
SPSS Advantage™ for Excel® 2007 - (90MB)
Download the free trial version of SPSS Advantage for Excel 2007. This Microsoft® Excel add-on product enables business users to seamlessly add select SPSS functionality to Microsoft® Excel 2007, gaining powerful data utility and analysis tools. The trial is the full version of SPSS Advantage for Excel 2007 with a free 14-day trial license. To purchase SPSS Advantage for Excel and obtain an authorization code for perpetual use, contact SPSS Inc. If you are in North America, call 1.800.543.2185 or e-mail [email protected]. To find out the availability of SPSS Advantage for Excel in your area, contact your local office.
Text Analytics (formerly Text Mining for Clementine) - a demonstration - (0MB)
Some companies are driving greater profits by taking advantage of new trends and technologies that enable them to include additional types of data in their data mining initiatives. One such data type companies can include in their analyses is unstructured data, also referred to as textual data. This pre-recorded seminar covers an introduction to text mining, the technology used to analyze text, and a demonstration of SPSS’ Text Mining for Clementine. This presentation is the second in a four-part series, and is approximately one hour long.
AnswerTree Quick Tour - (1390KB)
This Quick Tour is designed to introduce you to AnswerTree, the powerful decision tree and data mining software. After downloading the self-extracting movie, sit back and enjoy the "live" demonstration. You'll see how AnswerTree helps you easily discover segments, build better profiles and realize the profits in your data.
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