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Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualizationSPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code.IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results.Conduct a more efficient and accurate analysisDisplay complex relationships and create better visualizationsModel complex interactions and master predictive analyticsIntegrate R and Python with SPSS Statistics for more efficient, more powerful codeThese \"hidden tools\" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.

Shifts in how people work, live and drive are profoundly affecting the P&C insurance economy, adding more complexity, cost and time into the claims and repair process.

As claims and resulting repair volumes continue to build towards pre-COVID levels, industry-wide capacity within the collision repair industry is being pushed to the brink.

Through digital solutions, underwriters can increase efficiency, reduce risks, improve performance and elevate the insurance customer experience.

The pandemic catalyzed carriers to reset priorities and accelerate greater adoption of digital tools for claims processing.

Connected ClaimsThe auto insurance industry currently faces a moment not unlike the one the Astros faced when they charted a course toward a brighter future. In the past nine months alone, the number of mobile-based photo estimates increased 400%. ● Telematics-enabled claims reduce cycle times. By 2020, analyst projections indicate there will be more than 50 million telematically enabled vehicles on the road—and that’s a conservative estimate.

[...]52 percent of all MY 2018 vehicles included auto emergency braking (AEB) as a standard feature and 20 automakers have committed to making AEB standard in all light trucks and cars with a curb weight of 8500 pounds or less by September 2022. Other investments in electric technology and car-sharing fleets are in place to help automakers strike the right balance between producing cars people want to buy and ride in, and those that can turn a profit. Tapping into telematics technology, some insurers are now using near-instant access to driver data to more quickly and accurately price policies.

There is gold in open-ended survey responses. As opposed to close-ended questions where a respondent is given a finite selection of answers, open-ended survey questions have no specific answers, and respondents are free to share their thoughts. Direct marketers conducting surveys include open-ended questions to gather prospects' or customers' opinions on offers; acquire names; assure quality control; or, sometimes break the ice. The words respondents choose to answer open-ended questions offer valuable insight that can be acted on to improve direct marketing results. Analyzing open-ended survey responses is a labor-intensive and complex process, even with technology. Human speech is unstructured, and many words have several meanings. Linguistics-based analytic software and new technology - such as Natural Language Processing - is now available that can assist in categorizing text responses and make it easier for direct marketers and researchers to pan for the gold in open-ended surveys.