INSIGHTFUL ACADEMIC SOLUTIONS

Insightful Corporation offers a range of statistical data analysis and data mining products for administrators, faculty members, institutional researchers and students. We offer competitive pricing and a range of licensing options to help you easily integrate our products into curricula for research, graduate and undergraduate uses.
As a faculty member, you can feel confident that our statistical data analysis and data mining products offer your students the opportunity to use software that leading analysts employ to solve mission-critical business problems at Global 1000 companies. Insightful’s easy-to-use Insightful Miner and S-PLUS product lines make it easy for students to access, analyze and report findings professionally to their peers and faculty members.
For institutional researchers, S-PLUS and Insightful Miner provide a scalable data analysis workbench that provides the flexibility and extensibility you need to access, analyze, visualize and report your discoveries to colleagues and the broader academic and research communities.
For graduating students, we offer heavily discounted pricing and licensing options for those starting their careers.
As an administrator, use our exploratory data analysis and data mining solutions to improve intelligence gathering from your data to improve student retention and graduation dates. Access, analyze and report important discoveries about student data, build predictive models to determine which alumni are most likely to contribute to your organization and improve your ability to forecast your organizational needs and resource demands.

TELECOMMUNICATIONS SOLUTIONS

From Internet, telephone and cable services to voice and electronic mail, telecommunications services touch our lives every day. In this fast-growing, competitive, price-sensitive industry, firms such as Verizon must continually evaluate and improve the performance of their programs and services to stay ahead of the competition. Insightful software provides the predictive modeling capabilities required to understand customer preferences, predict system performance and report on network operations.

Key Applications:

Business Performance Reporting
Reduce Customer Churn
Fraud Detection
Data Quality Management
Marketing Campaign Analysis
Customer Behavior Modeling
“With Insightful’s visualization capabilities, the company [AT&T] has reduced the time required to assess system issues from a day to 30 minutes. Now engineers spend less time trying to uncover what the service issue may be and can spend more time addressing quality of service issues”

Doug Baranek
Engineer
AT&T

INSIGHTFUL MANUFACTURING SOLUTIONS

Leaders as diverse as Motorola, Intersil and General Mills rely on Insightful to uncover a product’s critical design factors, such as which variables have the biggest impact on performance, what are the best possible settings or proportions and what are the most favorable operating conditions. Insightful provides solutions for experimental design and analysis, reliability analysis and life expectancy testing, business performance reporting and demand forecasting and optimization.

Key Applications:

Design and Analysis of Experiments
Reliability Analysis and Life Expectancy
Field Failure Analysis and Reporting
Supply Chain Optimization
Demand Forecasting, Optimization and Reporting
Statistical Process Control/Six Sigma
“We selected S-PLUS because it offered superior visualization tools and could provide information-rich, one-page analytic reports. Further, the software offers a flexible programming language for prototyping new analytics quickly to meet changing conditions. High-performance analytics and superior visualization capabilities make it an indispensable part of our organization and improves productivity.”

Dr. Phillip Stafford
Sr. Scientist
Motorola Life Sciences

User Stories

Macronix Deploys S-PLUS Enterprise Server to Reduce Defects and Improve Yield for Wafer Fabrication
Dr. Bill Meeker of Iowa State University awarded Chicago ASA Statistician of the Year. Download his presentation from the 2005 Insightful User Conference “Using Simulation and Graphics as an Aid in Planning Complicated Experiments “
Pillsbury Deploys Innovative Data Analysis Tool Kit
S-PLUS® Improves Productivity and Quality of Kraft Products
Motorola Life Sciences Selects to Manufacture High-quality Biochips

MARKETING ANALYTICS SOLUTIONS

Realize a Higher Marketing ROI with Predictive Analytics

Marketing as usual is no longer an option. Prospects and customers are overwhelmed by thousands of competing messages, resulting in information overload. As a marketing professional it is your job to cut through the noise with the right offer, to the right person, with the right channel at the right time. By better targeting and segmenting prospects and customers your organization can:

Cultivate more sales ready prospects
Grow profitable customer relationships
Improve customer intelligence and behavioral data
Increase customer loyalty
Optimize marketing campaign performance
Maximize your marketing ROI
Insightful’s Marketing Analytics solutions put the power of predictive analytics to work for you to create more targeted, effective campaigns. Our solutions will help you to develop insight into customer lifetime value and customer preferences and affinity towards offers. Insightful solutions deliver customer behavior models and marketing optimization models for:

Customer Acquisition
Customer Growth
Customer Retention
Customer Win-Back
Marketing Optimization

INSIGHTFUL FINANCE SOLUTIONS

Insightful finance solutions are specifically designed to meet both your strategic and regulatory needs. Today’s market is experiencing increased competition, more regulation and rising volatility. You need to optimize your capital allocation, lower your overall cost of capital, and improve and/or maintain your favorable credit rating. You are also fighting to maintain regulatory compliance while increasing profits. You need analytic and reporting solutions that are rigorous enough to meet regulatory scrutiny, yet flexible enough to fit the unique requirements of your institution.

Insightful Enterprise Risk Aggregation
Insightful Regulatory Compliance
Insightful Risk Management Framework
Insightful Portfolio Optimization
Insightful finance solutions are built upon the award-winning analytics platform, S-PLUS®. We have twenty years of continued investment in delivering the best econometrics capabilities, a standards-based IT friendly architecture and superior graphic reporting for the easy distribution and comprehension of your results across all audiences.
For more information, please make your selection from among our white papers, case studies and archived Web casts:

Archived Events & Web Casts
Success Stories
Whitepapers & Application Notes
To find out how Insightful finance solutions can help your institution perform in these challenging times, please email or call in the US and Canada (800) 569-0123, UK +44 (0) 1256 339800, Zurich +41 (0)44 251 68 44 or Hong Kong/Asia Pacific +852 2549 0268.

INSIGHTFUL LIFE SCIENCE SOLUTIONS

Insightful Life Science Solutions support all phases of pre-clinical and clinical development. Our solutions meet the requirements of a validated environment while providing significant gains in productivity and efficiency. Insightful Life Science Solutions deliver the knowledge to act for effective drug development.

The Insightful Life Science Solutions team offers software solutions for:

Statistical Graphics: Insightful Clinical Graphics
Clinical Reporting: Insightful Clinical Study Reporting
Clinical Data Review: Insightful Clinical Review
Clinical Trial Design: Insightful Trial Designer
Clinical Safety Data Analysis: Insightful Safety
For more information on how Insightful Life Sciences solutions can deliver cost savings and clearer communications for your company please contact us via email or call in the US/Canada (800) 569-0123, UK +44 (0) 1256 339800, or Basel +41 61 717 9340.

INSIGHTFUL GOVERNMENT AND INDUSTRY SOLUTIONS

The imperative to use data efficiently and effectively spans all industries, but the need is particularly acute in research-driven industries such as life sciences and financial services, where the ability to unlock hidden insight and detect subtle relationships can mean the difference between success and failure.

In the pharmaceutical industry, for example, where companies must be able to bring new compounds to market quickly to replace drugs that are nearing the end of their product lifecycle, there is a vital need for advanced statistical tools that speed drug discovery. Financial services organizations face new regulatory mandates to provide statistical estimations of risk. Meanwhile, the increasing reliance on Six Sigma programs has made statistical analysis a critical tool for manufacturers.

By delivering the power of predictive analytics to users across the enterprise, solutions from Insight are enabling companies in a broad range of industries to dramatically improve decision making processes. Find out how companies in life sciences, financial services, energy, telecommunications, manufacturing, and other industries, as well as government organizations and private institutions, are using Insightful technologies to achieve greater success.

AT&T ASSESSES RISK OF NEW BILLING STRATEGY

Assessing the risk involved with new projects, policies, and marketing strategies is critical for businesses large and small. Today, big players in the telecommunica-tions industry are under increased pressure to maximize profits and minimize risks. As a result, they are constantly exploring new marketing strategies while keeping a close eye on customer retention data.

Recently, AT&T explored new marketing strategies in regards to customer billing. Unlike most industries, long distance carriers often include their bill with the local phone bill, removing them from direct contact with the customer. Considering direct customer contact is advantageous, AT&T set out to test a direct billing strategy to see whether it increased or posed a risk to customer retention.

First, AT&T created a control group of customers who would continue to receive their long distance charges with their local phone bill-the indirect billing method. Then, a treatment group of customers was selected to receive a separate long distance bill directly from AT&T-the direct billing method. At any time, customers receiving a separate long distance bill could choose to switch back to the indirect billing method.

AT&T wanted to assess the risk of losing customers to other long distance carriers, and determine the time period during which customers were most likely to switch due to new billing method. It was important to evaluate the relative risk of the direct billing method versus the indirect billing method. By determining the long-term risk of losing customers to other carriers, AT&T could decide whether to implement the new billing method nationwide. Figure 1 is a survival analysis based on the Weibull regression and the Kaplan-Meier estimate fitted to the control group and the treatment group, respectively. Using S-PLUS’s exclusive Trellis graphics, the data are conditioned on high and low market value, that is, long distance charges averaging $75 and $10 per month, respectively. Early in the process the treatment group has about the same cumulative hazard of switching to another carrier as the control group. However, the long-term cumulative hazard for the treatment group is signifi-cantly less than the control group in the low market value segment. Based on this information it appears the direct billing strategy is worth pursuing because it actually improves customer retention in the long run.

PILLSBURY DEPLOYS INNOVATIVE DATA ANALYSIS TOOL KIT

Business Challenge

Every day, millions of people enjoy Pillsbury’s world-famous food products from creamy, luxurious Haagen-Dazs® premium ice cream to Green Giant® branded vegetables. The company’s family of products also includes Pillsbury’s baked and refrigerated breakfast products and Old El Paso® the number one Mexican food brand outside of Mexico.

Pillsbury is a division of Diageo a food and beverage conglomerate with more than 85,000 employees worldwide delivering mega brands to more than 200 countries globally. In North America, Pillsbury has been gaining market share in categories that are growing faster than industry averages. Profitable growth has been accompanied by cost reduction measures and new technological advancements that ensure maximum reinvestment in its formidable brand portfolio. Successful companies, such as Pillsbury, are deploying centralized technology to provide business decision makers with the data analyses and modeling tools they need to make informed decisions.

Dr. Fred Hulting, senior research scientist in Pillsbury’s Statistics and Quality Design Department had a vision to deploy enterprise-wide data analyses tools to meet the company’s growing information needs. “We were interested in leveraging the expertise in our Minneapolis office and providing our employees with access to real-time information, from our quality assurance staff working in manufacturing to marketing executives promoting our brands,” says Hulting.

Business Solution

Using StatServer, Dr. Hulting designed an intranet system to deliver customized data collection, analyses and educational tools to employees’ desktops. This system enables Pillsbury employees to analyze their critical business data in a familiar web-based environment.

Pillsbury uses StatServer to deploy analytical tools to R&D, Operations, and Marketing, in applications ranging from process analysis to product development to consumer research. In one application, Dr. Hulting created design tools, analysis tools, and interpretive aids for process development teams working in manufacturing. Scientists and engineers at any manufacturing site can easily design data collection plans for process studies, obtain a process-specific data analysis, and make business decisions with confidence. Team members use Microsoft Internet Explorer to access these powerful data analysis tools, and to seamlessly transfer the analysis results to others globally using business software packages including Microsoft Office and Lotus Notes.

“We were looking for a data analysis solution that could deliver powerful data analyses tools to everyone’s desktop. S-PLUS was our preferred statistical tool, and StatServer gave us the global reach and multi-user capabilities to meet our business needs,” says Hulting.

“StatServer has enhanced our productivity by allowing us to upgrade everyone’s data analysis toolbox, to educate users on best practices, and to deliver key business information, all from a central location.” Employees throughout Pillsbury have also been impressed with the system. “We believe this system is allowing us to remain efficient, competitive and to work together to deliver leading food products to consumers.”

Benefits

Centralized Data and Analysis Capabilities
Improved Productivity
Desktop Delivery In A Familiar Environment
Seamless Integration With Microsoft Office And Other Business Tools
Business Tools

StatServer
S-PLUS

ENVIRONMENTAL JUSTICE SERVED BY POWERFUL S-PLUS AND S+SPATIAL DATA ANALYSIS TOOL RESEARCH

Business Challenge

Environmental justice seeks to ensure that no population is forced to shoulder a disproportionate burden of the negative human health and environmental impacts of pollution or other environmental hazards.

The movement emerged in the early 1980’s in response to large demonstrations opposing the location of a PCB-landfill site in a predominantly black community in Warren County, North Carolina. Continued research and public attention raised concerns of the fairness and protection afforded under existing environmental programs. Today, the White House and EPA considers environmental justice to be a high priority to the extent that the Environmental Protection Agency has created an Office of Environmental Justice. Popular culture reflects the public’s growing interest in these issues with movies such as “Civil Action.”

Frank M. Howell, professor of sociology at Mississippi State University, and John K. Thomas, professor of rural sociology, at Texas A&M University have addressed real-world environmental justice issues with a practical solution by developing an analytical methodology termed “socio-environmental visualization” (SEV). From courtrooms to research facilities, the SEV model has the potential to bring modern scientific statistical analysis to researchers, policy-makers and business decision-makers internationally.

The challenge facing researchers, the legal community, and civic action groups is that inductive procedures alone, such as those provided by maps through GIS, lend themselves to subjective interpretations. “That’s where spatial statistics comes in, putting numbers back on the map,” says Howell.

SEV methodology also relies on scientific data visualization allowing the researcher to better understand the functional forms of the relationships among variables used in the investigations of environmental inequity. A practical problem is to be able to field the SEV methodology on a common computer platform with near real-time execution so that questions can be answered as research takes place, rather than wait for data-translation from one program to another to be conducted.

Business Solution

The SEV model relies on scientific data visualization and comprehensive data analysis of environmental and sociological variables. The researchers are utilizing EPA environmental monitoring data along with Census Bureau information to create a “proof of performance” for their environmental justice paradigm. After two years of preliminary research, the methodology appears to be a powerful evaluation tool providing analyses with greater statistical confidence than before. The SEV methodology relies on three software packages – ArcView® for GIS, S-PLUS® and S+SpatialStats® – to implement the tools of GIS, scientific data analysis, and spatial statistics into an integrated “real-time” methodology, all on one computing platform.

“We selected S-PLUS because it was the package of choice for modern statisticians that includes the most current statistical models,” says Howell. “S-PLUS allowed us to stay within a familiar environment when moving ArcView GIS tabular data back-and-forth for analysis.” Moreover, the ability to perform spatial statistical analyses on the data from an ArcView coverage provided the researchers with productivity gains over other software packages which are not integrated into one platform. The software also provided the researchers with a powerful data analysis tool that could provide publication-quality graphics.

“S+SpatialStats provided several benefits to our research. We could read data in and out of the packages without having to import or export data. The module included the most modern spatial statistical models available. And, results could be viewed in ArcView where new variables could be added to enhance the model’s productivity,” says Howell. Designed specifically for the exploration and modeling of spatially correlated data, S+SpatialStats allowed researchers to easily access leading statistical models for analyzing geostatistical data, lattice data and spatial point patterns. SEV methodology promises to bring greater scientific credibility to the environmental justice work performed by researchers, the legal community and civic action groups.

Benefits

Spatial Correlation and Regression
Point Pattern Analysis
Exploratory Data Analysis
Predictive Modeling
Research Application
Environmental Research
Geography
Business Tools

S-PLUS for WINDOWS
S+SpatialStats
ArcView For GIS