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There is a common high-level customer journey for insurance customers. Here at Decision Management Solutions we’ve helped insurance carriers in the US and Asia develop innovative approaches to developing and delivering NBO/NBA initiatives. One of the biggest challenges for insurance carriers is that unlike for example, a financial services company, most of a carrier’s customer interactions are limited to an initial policy purchase, handling a claim, and policy renewal. MORE
Ensuring that agents and brokers have the best tools to evaluate and close opportunities can be a real differentiator for insurance companies. — To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry. MORE
— To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry. Technology investment is an essential component of most strategic growth and operational efficiency initiatives. Technology comes in two parts. There’s the front-end technology that customers experience. There’s also the back-end technology that other stakeholders (i.e., MORE
Mario Greco, CEO of Zurich Insurance Group, one of the world’s largest insurance companies, sat down with CNBC following the release of the company’s Q4 2017 earnings. Even after a year full of natural disasters (2017 happens to be the costliest year on record for the global insurance industry) and the potential financial burden (i.e., more claims) that climate change can place on insurers moving forward, the overall feeling about the future is optimistic. MORE
The rise of data and analytics in the insurance industry means the underwriting profession is changing fast. Not everyone is thrilled about the rise of AI in the insurance industry. MORE
In its 2019 CIO Agenda: Insurance Industry Insights, Gartner cited increased interest in the industry to move toward data science and machine learning use cases. MORE
The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry. The report showed that insurers spent $2.4 MORE
Technology has had a profound impact on the insurance industry. Insurers are relying heavily on big data as the number of insurance policyholders also grow. Big data analytics can help solve a lot of data issues that insurance companies face, but the process is a bit daunting. It can be challenging for insurance companies who have not adjusted to this just yet. What is one of the reasons why some insurance companies get more customers as compared to others? MORE
James Wade, Director of Application Hosting at Guidewell and IBM Analytics Hemanth Manda spoke with Dave Vellante in New York City on the eve of the 13 September taping of the Win with AI digital broadcast about the challenge of getting data ready for AI and how IBM Cloud Private for Data can help MORE
has created a jubilant atmosphere, as the rates are generally expected to boost earnings and investments for many insurers. — To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry. Recent months have seen many discussions and questions about tax reform and its impact on the industry as a whole. The introduction of lower corporate tax rates in the U.S. MORE
In February, we published a blog post on “Using Technology to Add Value in Insurance.” In that post, I referenced Matt Josefowticz’s recent article – Technology May be the Answer for Insurers, but What Was the Question? , in which he argues that there are only three levers of value in insurance: 1. Selling more can be a real challenge for insurance carriers. The post Using Technology to Grow Relationship Value in Insurance? MORE
The nature of the Insurance industry being data-centric, insurers abide by the policy of keeping data as a treasure for their respective growth. MORE
move within the insurance and banking chain through documents and forms. Currently, there is no linking system between these the two parties involved (banks and insurance companies) that allows for quick and smooth information exchange. The use of blockchain technology in insurance will increase the speed in which insurance policies can be carried out and pave the way for a more secure and transparent system. MORE
Join this live webinar: Fast, Agile, Service-Driven Insurance: Fuse Innovative Tech to Your Company DNA - AI, Chatbots, Automation and More, Dec 11 at 10:00am EST, to get actionable insight to develop your strategy. 2019 Nov Webcasts & Webinars AXA Chatbots Insurance Insurance Nexus MORE
Perhaps nowhere is this truer than in the insurance industry, though. Consider: – In life insurance, actuaries rely on data from many sources to discover and define ever more granular health and lifestyle attributes to determine the overall risk level of each applicant. MORE
As a booming market full of endless possibilities, the autonomous vehicles segment has also raised questions on the requirement of insurance for vehicles in an accident-free future. Autonomous Vehicles and the Insurance Industry. Autonomy in vehicles is bound to come with its share of disruption in the insurance industry. MORE
With customers increasingly demanding fast, convenient insurance quotes, the industry’s data leaders are feeling the pressure to develop products, services and experiences fit for the modern age. MORE
The insurance industry has always been quite conservative; however, the adoption of new technologies is not just a modern trend but a necessity to maintain a competitive pace. Learn more about the benefits of Big Data for insurance from our material. Processed by artificial intelligence, it becomes a valuable source of information vital for most business models, including insurance. Big Data and Insurance: Implications for Innovation and Competition. MORE
The life insurance industry will soon undergo a dramatic transformation in response to advances in big data. A number of insurance executives have been reluctant to embrace the changes of big data. One study found that 74% of respondents felt that the insurance industry had done an inadequate job addressing the need for big data. However, a growing number of insurers are starting to appreciate the need. Big data is the key to helping with life insurance settlements. MORE
The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. The good news is that this new data can help lower your insurance rate. Where you live and if your car is parked in a locked garage influence your insurance rate. MORE
The insurance sector can benefit significantly from these advancements of cognitive technology too. This is made possible with the heaps of data collected by insurance companies and not used to their full potential. In the insurance business vertical, AI can have a positive impact at every level, from automating call center request processing to helping make accurate assessments and executive-level decisions. Applications of AI for Insurance. MORE
McKinsey recently reported that “Most carriers are struggling to meet their cost of capital, and productivity has barely moved over the past decade” and that “The insurance industry is facing a serious structural challenge … the majority of carriers are not making their cost of capital.” ” Growing productivity by improving operations is an essential ingredient in insurance carriers’ business strategy. AI Decision Management Insurance MORE
Creating value for customers, employees, partners, and shareholders has always been the core objective of insurance companies. Our new guide highlights the: State of the insurance industry based on our own insights, as well as those from leaders in the space. Most significant challenges diversified insurance, life insurance, and property and casualty insurance companies face and how they are solving them. MORE
This Client is one of the fastest growing life insurance companies in India and offers a diverse range of wealth management, protection and retirement solutions. MORE
To keep processing costs low, many insurance carriers have a goal to increase the percentage of their claims that can be processed and decisioned with no human decision-making involved. Perhaps surprisingly, there remains a fair amount of human intervention involved in processing insurance claims. Start with automating and improving a single decision (such as insurance claims handling or next best offer) to demonstrate the power of Decision Management. MORE
Yet even as insurance companies lean on M&A for growth, every insurance company requires a more comprehensive program to achieve its growth targets. — To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry. M&A is always on the table, as it can provide quicker access to more customers through geographic expansion, as well as new business lines and capabilities. MORE
In a digital and mobile era, insurance companies must cater to customers’ demands and expectations by providing fast and frequent communication, access to more digestible and transparent information, and, of course, convenience. — To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry. MORE
Matt Josefowticz wrote a great piece recently – Technology May be the Answer for Insurers, but What Was the Question? In this he argues that there are only three levers of value in insurance: 1. This resonated with me as we have been doing a lot of work recently developing digital decisioning solutions using our DecisionsFirst approach for insurance carriers and have seen all three drivers in play. MORE
In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and multiple weather indicators can improve forecast accuracy MORE
Today, insurance companies remain heavily focused on growth, productivity, and efficiency. The answers to these big questions lie in the strategic initiatives that insurance companies must embrace to move their business forward. To learn about them, download our new guide: 2018 State of the Insurance Industry. That is, how can they generate more revenue and increase profitability? How can they get a bigger piece of the pie in a market that offers customers so many options? MORE
when it comes to the banking and insurance industry, things get a little different. All that to say: Financial reporting is challenging enough as it is, and financial reporting in the banking and insurance industry is even more challenging. MORE
80% of data and analytics leaders with global life insurance and property & casualty carriers surveyed by McKinsey reported that their analytics investments are not delivering high impact. Here at Decision Management Solutions, we’ve worked with many life insurance and property & casualty carriers around the world and seen this problem first hand. Insurance companies, like other companies, want their analytics investments to be strategic – to have a strategic impact. MORE
Big data is greatly affecting the operations of many businesses, including those in the insurance sector. Insurance data can be particularly challenging to use because it comes from many sources such as adjusters’ notes, fraud lists and claims databases. MORE
Disasters drive innovation in the insurance industry. Business Intelligence MORE
While touching various industrial verticals with its advantages, Data Analytics is playing its part in the Insurance industry too. Hence, a complete Insurance data Analysis will ensure that you have all the greater risks covered to your best capabilities. . MORE
In February, we published a blog post on “Using Technology to Add Value in Insurance”. That post, referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , in which he states that there are only three levers of value in insurance: 1. One clear way to reduce operating costs in insurance is to add automation to complex decision-making processes, such as underwriting and claims handling. MORE
Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science implementation. These three challenges – getting business buy in, attracting talent, and strategic alignment are exactly what we see in our work with insurers. MORE
I want to understand and know more about every aspect of the cyber peril to help my company be the best and help our customers feel they are serviced by the best company and people in the insurance industry. Insights Geo Insurance USA MORE
AI is coming to the disrupt the insurance industry. From Ping An in China to Lemonade in the US, companies across the globe are harnessing AI technologies to drag the sector into the 21st century. Artificial Intelligence & Machine Learning MORE
In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Insurers can also manage risk more effectively through continuous improvement. MORE
Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry. Using data to inform business decisions only works when the data is correct. MORE
The insurance industry is based on the idea of managing risk. The journal Risk Management and Insurance Review mentions that historically, in the latter half of the twentieth century, the analysis of trends was the primary driver in determining risk in the insurance business. MORE
Insurance Related Topics Corinium
FEBRUARY 28, 2020
With customers increasingly demanding fast, convenient insurance quotes, the industry’s data leaders are feeling the pressure to develop products, services and experiences fit for the modern age.
DataFloq
MARCH 27, 2020
The nature of the Insurance industry being data-centric, insurers abide by the policy of keeping data as a treasure for their respective growth.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Corinium
JANUARY 16, 2020
AI is coming to the disrupt the insurance industry. From Ping An in China to Lemonade in the US, companies across the globe are harnessing AI technologies to drag the sector into the 21st century. Artificial Intelligence & Machine Learning
Corinium
FEBRUARY 3, 2020
Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry. Using data to inform business decisions only works when the data is correct.
DataFloq
APRIL 11, 2019
Big data is greatly affecting the operations of many businesses, including those in the insurance sector. Insurance data can be particularly challenging to use because it comes from many sources such as adjusters’ notes, fraud lists and claims databases.
Smart Data Collective
JUNE 26, 2019
The insurance industry is based on the idea of managing risk. The journal Risk Management and Insurance Review mentions that historically, in the latter half of the twentieth century, the analysis of trends was the primary driver in determining risk in the insurance business.
Smart Data Collective
MARCH 27, 2020
The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. The good news is that this new data can help lower your insurance rate. Where you live and if your car is parked in a locked garage influence your insurance rate.
|
DataFloq
MAY 28, 2019
The insurance industry has always been quite conservative; however, the adoption of new technologies is not just a modern trend but a necessity to maintain a competitive pace. Learn more about the benefits of Big Data for insurance from our material. Processed by artificial intelligence, it becomes a valuable source of information vital for most business models, including insurance. Big Data and Insurance: Implications for Innovation and Competition.
DataFloq
SEPTEMBER 10, 2019
While touching various industrial verticals with its advantages, Data Analytics is playing its part in the Insurance industry too. Hence, a complete Insurance data Analysis will ensure that you have all the greater risks covered to your best capabilities. .
Smart Data Collective
MARCH 28, 2019
The life insurance industry will soon undergo a dramatic transformation in response to advances in big data. A number of insurance executives have been reluctant to embrace the changes of big data. One study found that 74% of respondents felt that the insurance industry had done an inadequate job addressing the need for big data. However, a growing number of insurers are starting to appreciate the need. Big data is the key to helping with life insurance settlements.
DataFloq
JUNE 30, 2019
As a booming market full of endless possibilities, the autonomous vehicles segment has also raised questions on the requirement of insurance for vehicles in an accident-free future. Autonomous Vehicles and the Insurance Industry. Autonomy in vehicles is bound to come with its share of disruption in the insurance industry.
Decision Management Solutions
JUNE 19, 2019
There is a common high-level customer journey for insurance customers. Here at Decision Management Solutions we’ve helped insurance carriers in the US and Asia develop innovative approaches to developing and delivering NBO/NBA initiatives. One of the biggest challenges for insurance carriers is that unlike for example, a financial services company, most of a carrier’s customer interactions are limited to an initial policy purchase, handling a claim, and policy renewal.
Perficient Data & Analytics
APRIL 25, 2018
Creating value for customers, employees, partners, and shareholders has always been the core objective of insurance companies. Our new guide highlights the: State of the insurance industry based on our own insights, as well as those from leaders in the space. Most significant challenges diversified insurance, life insurance, and property and casualty insurance companies face and how they are solving them.
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DataRobot
MARCH 6, 2020
If you’re a commercial insurer, how do you evaluate your claims personnel? How do those evaluations impact your decisions on how to deploy individual adjusters? AI Across Industries
Perficient Data & Analytics
MAY 15, 2018
Yet even as insurance companies lean on M&A for growth, every insurance company requires a more comprehensive program to achieve its growth targets. — To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry. M&A is always on the table, as it can provide quicker access to more customers through geographic expansion, as well as new business lines and capabilities.
Smart Data Collective
MARCH 25, 2019
Technology has had a profound impact on the insurance industry. Insurers are relying heavily on big data as the number of insurance policyholders also grow. Big data analytics can help solve a lot of data issues that insurance companies face, but the process is a bit daunting. It can be challenging for insurance companies who have not adjusted to this just yet. What is one of the reasons why some insurance companies get more customers as compared to others?
Perficient Data & Analytics
MAY 8, 2018
Today, insurance companies remain heavily focused on growth, productivity, and efficiency. The answers to these big questions lie in the strategic initiatives that insurance companies must embrace to move their business forward. To learn about them, download our new guide: 2018 State of the Insurance Industry. That is, how can they generate more revenue and increase profitability? How can they get a bigger piece of the pie in a market that offers customers so many options?
Jet Global
DECEMBER 6, 2019
when it comes to the banking and insurance industry, things get a little different. All that to say: Financial reporting is challenging enough as it is, and financial reporting in the banking and insurance industry is even more challenging.
Dataiku
MARCH 27, 2020
In its 2019 CIO Agenda: Insurance Industry Insights, Gartner cited increased interest in the industry to move toward data science and machine learning use cases.
Perficient Data & Analytics
MAY 1, 2018
Mario Greco, CEO of Zurich Insurance Group, one of the world’s largest insurance companies, sat down with CNBC following the release of the company’s Q4 2017 earnings. Even after a year full of natural disasters (2017 happens to be the costliest year on record for the global insurance industry) and the potential financial burden (i.e., more claims) that climate change can place on insurers moving forward, the overall feeling about the future is optimistic.
Perficient Data & Analytics
JUNE 5, 2018
Ensuring that agents and brokers have the best tools to evaluate and close opportunities can be a real differentiator for insurance companies. — To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry.
Perficient Data & Analytics
MAY 22, 2018
— To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry. Technology investment is an essential component of most strategic growth and operational efficiency initiatives. Technology comes in two parts. There’s the front-end technology that customers experience. There’s also the back-end technology that other stakeholders (i.e.,
Perficient Data & Analytics
JUNE 12, 2018
has created a jubilant atmosphere, as the rates are generally expected to boost earnings and investments for many insurers. — To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry. Recent months have seen many discussions and questions about tax reform and its impact on the industry as a whole. The introduction of lower corporate tax rates in the U.S.
Perficient Data & Analytics
MAY 29, 2018
In a digital and mobile era, insurance companies must cater to customers’ demands and expectations by providing fast and frequent communication, access to more digestible and transparent information, and, of course, convenience. — To learn what else is driving growth, productivity, and efficiency, download our new guide: 2018 State of the Insurance Industry.
Decision Management Solutions
MAY 1, 2019
In February, we published a blog post on “Using Technology to Add Value in Insurance”. That post, referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , in which he states that there are only three levers of value in insurance: 1. One clear way to reduce operating costs in insurance is to add automation to complex decision-making processes, such as underwriting and claims handling.
Decision Management Solutions
APRIL 23, 2019
In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Insurers can also manage risk more effectively through continuous improvement.
Decision Management Solutions
MARCH 25, 2019
Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science implementation. These three challenges – getting business buy in, attracting talent, and strategic alignment are exactly what we see in our work with insurers.
Decision Management Solutions
APRIL 15, 2019
In February, we published a blog post on “Using Technology to Add Value in Insurance.” In that post, I referenced Matt Josefowticz’s recent article – Technology May be the Answer for Insurers, but What Was the Question? , in which he argues that there are only three levers of value in insurance: 1. Selling more can be a real challenge for insurance carriers. The post Using Technology to Grow Relationship Value in Insurance?
Corinium
NOVEMBER 18, 2019
Disasters drive innovation in the insurance industry. Business Intelligence
Decision Management Solutions
FEBRUARY 27, 2019
Matt Josefowticz wrote a great piece recently – Technology May be the Answer for Insurers, but What Was the Question? In this he argues that there are only three levers of value in insurance: 1. This resonated with me as we have been doing a lot of work recently developing digital decisioning solutions using our DecisionsFirst approach for insurance carriers and have seen all three drivers in play.
Octopai
SEPTEMBER 22, 2019
Perhaps nowhere is this truer than in the insurance industry, though. Consider: – In life insurance, actuaries rely on data from many sources to discover and define ever more granular health and lifestyle attributes to determine the overall risk level of each applicant.
Decision Management Solutions
SEPTEMBER 5, 2019
McKinsey recently reported that “Most carriers are struggling to meet their cost of capital, and productivity has barely moved over the past decade” and that “The insurance industry is facing a serious structural challenge … the majority of carriers are not making their cost of capital.” ” Growing productivity by improving operations is an essential ingredient in insurance carriers’ business strategy. AI Decision Management Insurance
Corinium
APRIL 3, 2019
Ahead of GeoInsurance USA , taking place in the W Hoboken, NJ on June 11-12 we caught up with Jim Schweitzer to find out what motivates him to do what he does and how he found himself working for the National Insurance Crime Bureau. Insights Geo Insurance USA
IBM Big Data Hub
JUNE 26, 2018
In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and multiple weather indicators can improve forecast accuracy
Smarten
DECEMBER 24, 2019
This Client is one of the fastest growing life insurance companies in India and offers a diverse range of wealth management, protection and retirement solutions.
KDnuggets
NOVEMBER 26, 2019
Join this live webinar: Fast, Agile, Service-Driven Insurance: Fuse Innovative Tech to Your Company DNA - AI, Chatbots, Automation and More, Dec 11 at 10:00am EST, to get actionable insight to develop your strategy. 2019 Nov Webcasts & Webinars AXA Chatbots Insurance Insurance Nexus
Decision Management Solutions
FEBRUARY 25, 2019
To keep processing costs low, many insurance carriers have a goal to increase the percentage of their claims that can be processed and decisioned with no human decision-making involved. Perhaps surprisingly, there remains a fair amount of human intervention involved in processing insurance claims. Start with automating and improving a single decision (such as insurance claims handling or next best offer) to demonstrate the power of Decision Management.
Corinium
MARCH 9, 2020
The rise of data and analytics in the insurance industry means the underwriting profession is changing fast. Not everyone is thrilled about the rise of AI in the insurance industry.
Corinium
APRIL 3, 2019
I want to understand and know more about every aspect of the cyber peril to help my company be the best and help our customers feel they are serviced by the best company and people in the insurance industry. Insights Geo Insurance USA
IBM Big Data Hub
OCTOBER 11, 2018
James Wade, Director of Application Hosting at Guidewell and IBM Analytics Hemanth Manda spoke with Dave Vellante in New York City on the eve of the 13 September taping of the Win with AI digital broadcast about the challenge of getting data ready for AI and how IBM Cloud Private for Data can help
Smart Data Collective
MAY 31, 2019
move within the insurance and banking chain through documents and forms. Currently, there is no linking system between these the two parties involved (banks and insurance companies) that allows for quick and smooth information exchange. The use of blockchain technology in insurance will increase the speed in which insurance policies can be carried out and pave the way for a more secure and transparent system.
Smart Data Collective
AUGUST 7, 2019
The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry. The report showed that insurers spent $2.4
Decision Management Solutions
NOVEMBER 13, 2018
80% of data and analytics leaders with global life insurance and property & casualty carriers surveyed by McKinsey reported that their analytics investments are not delivering high impact. Here at Decision Management Solutions, we’ve worked with many life insurance and property & casualty carriers around the world and seen this problem first hand. Insurance companies, like other companies, want their analytics investments to be strategic – to have a strategic impact.
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