insurance

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Published By: IBM     Published Date: Aug 06, 2014
“Big data”– which admittedly means many things to many people – is no longer confined to the realm of technology. Today, it is a business imperative. In addition to providing solutions to insurance companies’ long-standing business challenges, big data inspires new ways to transform processes, organizations and many aspects of the insurance industry as we know it.
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ibm, insurance, data, big data, technology, business
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
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big data, analytics, insurance, customer service, solutions
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
If insurers want to succeed in today's digital world, they need to create experiences and business models that are orchestrated, symbiotic, contextual and cognitive.
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digital reinvention, digital world, insurance, trust
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Tags : 
big data, analytics, insurance, customer service, solutions
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
“Big data”– which admittedly means many things to many people – is no longer confined to the realm of technology. Today, it is a business imperative. In addition to providing solutions to insurance companies’ long-standing business challenges, big data inspires new ways to transform processes, organizations and many aspects of the insurance industry as we know it.
Tags : 
big data, technology, insurance industry
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
As the world changes around them, many insurers are struggling to be profitable. A combination of disruptive forces — some economic, some societal, some technological — is shaking up the insurance industry comfort zone. Yet some leading insurers manage to stay ahead of the pack, but how?
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strategies, insurers, insurance industry
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Customer intelligence solutions that can enhance customer retention by leveraging advanced and predictive analytics tools to help enable more targeted sales, service and marketing plans.
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insurance, customer intelligence, solutions, customer retention, marketing plans
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
How security and business continuity can shape the reputation and value of your company.
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reputational risk, insurance industry, security, business continuity
    
IBM
Published By: LifeLock     Published Date: Jan 17, 2018
Download this whitepaper for a few tips that brokers can benefit from. In this article, Dennis Connor III, vice president of voluntary benefits for Tompkins Insurance Agencies in Batavia, New York, discusses his views on how benefit brokers can be more effective in positioning identity theft protection with their clients.
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LifeLock
Published By: Interactive Intelligence     Published Date: Feb 14, 2012
Read how to improve cross-selling and up-selling, claims efficiency and market opportunities from insurance and IT industry authority, Mark Breading, SMA partner at SMA Strategy Meets Action.
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Interactive Intelligence
Published By: Interactive Intelligence     Published Date: Feb 14, 2012
In the insurance industry, call centers have become increasingly sophisticated in terms of their business capabilities and enabling technologies.
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Interactive Intelligence
Published By: Interactive Intelligence     Published Date: Apr 23, 2014
Collaboration — working together for a common goal — is an integral part of the insurance business. But today, the need to rapidly assemble teams and capitalize on human expertise to provide faster, better decisions makes collaborating all the more important. Author Mark Breading of Strategy Meets Action explains how applying collaboration technologies to specific insurance business problems is enabling insurers to realize the true promise of collaborating for a competitive advantage.
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collaboration, insurance, interactive intelligence, communications, contact center, business process, collaboration technology
    
Interactive Intelligence
Published By: Hacker Group, Inc.     Published Date: Jan 27, 2012
Health insurance marketing is highly regulated and nuanced with complexities. Success depends upon marketers' - and their agencies' - ability to exploit knowledge of the regulatory environment as well as specialized direct/digital practices. Category expertise is critical.
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healthcare marketing, health care marketing, health insurance marketing, medicare marketing, health care marketing ideas, health care marketing plan, health insurance marketing strategies, ideas for healthcare marketing
    
Hacker Group, Inc.
Published By: IBM     Published Date: Mar 04, 2009
Celina Insurance case study that shows cost reduction and increased productivity - faster, better service to agents and their customers due to integrated systems and real-time collaboration; being “easy to do business with” secures agent loyalty; 50 percent reduction in phone calls and costs due to instant messaging option, and 40 percent reduction in head count while maintaining the same volume of business due to streamlined processes.
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lotus software, ibm, celina insurance, lotus extranet, streamlined processes, reduction in intranet traffic, integrated systems, lotus notes
    
IBM
Published By: IBM     Published Date: Oct 09, 2009
Today, more than ever, organizations must deliver the benefits of cost optimization and business agility. This Podcast series explains how that goal can be realized through dynamic Business Processes Management. The series focuses on banking, government, healthcare, insurance, cross-industry and retail.
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ibm industry podcast, cost optimization, business agility, business processes management, banking, government, healthcare, insurance
    
IBM
Published By: IBM     Published Date: Aug 30, 2010
All enterprises dealing with private data in test environments should mask or generate test data to comply with regulations such as Payment Card Industry (PCI), the Health Insurance Portability and Accountability Act (HIPAA), Sarbanes-Oxley (SOX), and European Union (EU) as well as to protect against internal and external attacks.
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ibm, test data privacy, compliance, data masking, payment card industry, pci, security, database
    
IBM
Published By: IBM     Published Date: Dec 07, 2010
Download this free podcast to learn why Insurers are utilizing Advanced Case Management to improve profitability and increase marketshare in a highly competitive industry.
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ibm, advanced case management podcast, acm, insurance, business intelligence, content management, collaboration
    
IBM
Published By: IBM Software     Published Date: Nov 02, 2010
Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy, and saving time and resources.
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ibm cognos predictive analysis, data mining, insurance fraud detection, analytical technique, prevention
    
IBM Software
Published By: IBM Software     Published Date: Feb 03, 2012
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts and deploy results to the people who can use the information to eradicate fraud and recoup money.
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ibm, security, identity management, insurance fraud, data protection, risk management
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved and much more!
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data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
In this technical white paper from IBM, learn how predictive analytics can be used to detect internal and external threats to your organization.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
This paper describes how to build a proactive threat and risk strategy based on predictive analytics and provides real life examples of the benefits.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
    
IBM Software
Published By: IBM Smarter Analytics     Published Date: Jun 04, 2012
Learn how Westfield Insurance developed an award-winning, business-led smarter analytics competency
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ibm, business analytics, business solutions, insurance, smarter analytics, business intelligence strategy, integrated analytics, insurance agency performance
    
IBM Smarter Analytics
Published By: IBM     Published Date: Aug 07, 2012
Insurers lose millions each year through fraudulent claims. Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy and saving time and resources. Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts; build models based on previously audited claims and use them to identify potentially fraudulent future claims; ensure adjusters focus on claims most likely to be fraudulent; and deploy results to the people who can use the information to eradicate fraud and recoup money.
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data, mining, detect, insurance, fraud, insurers, fraudulent, claims
    
IBM
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