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Applying Predictive Analytics to Physician Detailing - PDF file

Producers of prescription drugs face high R&D, and sales and marketing costs. This three-page technical paper describes how predictive analytics can help them optimize their sales and marketing efforts to improve the return on their investment.

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.

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.

Five Predictive Imperatives for Maximizing Customer Value - PDF file

Learn about the five “predictive imperatives”—essential best practices for improving customer relationships with predictive analytics, identified through SPSS Inc.'s more than 40 years of experience with a wide range of companies.

(FPIWP)

Future of Program Evaluation In the Era of Government Reinvention, The - PDF file
Governing bodies and their oversite committees, such as U.S. Congressional committees, need information to make decisions on programs they oversee. This information, which reveals whether a program is working and if it is effective, often falls into three very general categories: descriptive, implementation and effect. (SWPPROEV)

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.

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.

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.

Public CIO thought leadership profile - PDF file
Predictive analytics software from SPSS helps agencies mine data for insights that translate into better government. This white paper includes examples from the Texas Comptroller of Public Accounts and Richmond Police Department, as well as interviews with both SPSS' vice president and technical director of public sector. Read how SPSS technology can give the government a tremendous ROI - return on information.

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:

Expands the definition of innovation beyond products to include customer interactions
Documents why companies must become predictive enterprises
Outlines four core attributes of the predictive enterprise, and how you can attain them
Shows how Coach and Debenhams use data mining and predictive analytics to achieve customer innovation, strengthen brand and lift sales

The Top 10 Secrets to Using Data Mining to Succeed at CRM - PDF file

Companies that have successfuly used data mining to boost their CRM efforts have a wealth of experience to share. This white paper provides 10 tips that your organization can benefit from if you're looking for ways to initiate or improve CRM activities.

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.

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.

Working with Telecommunications: Churning in the telecommunications industry - PDF file

This paper outlines how powerful modeling analytics using PASW Modeler can help telecomms companies to identify why some customers are likely to churn, and which ones are most likely to defect.