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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
Automated Sales & Underwriting Strategies can Transform Insurance. One of the major repercussions of the COVID-19 pandemic in financial sectors has been the increase in awareness about insurable risks across categories and markets. BRIDGEi2i’s insurance solutions. 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
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
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
Insurance is no different. Insurance is not something the average consumer thinks about every day but when a life changing event happens, insurance becomes extremely important. It is in this “Moment of Truth” that insurers excel or fail. It’s all about the Customer. 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. AI-driven insurance app Lemonade is the latest in a long line of financial services innovations designed to put customer experiences first. 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. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. This gender discrepancy has led to seven states in the United States banning the use of gender as a factor in auto insurance rates. 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
As an industry that works on the principles of data analysis, the insurance field is a game of big data. Since the stakes are high on the importance of insurance data analytics today to decide the leaders of the competition, one needs to be sure of their strategies.Insurance technology is the trusted step forward for insurers to drive data-based decisions with utmost precision. MORE
The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Today’s models, norms, and averages are being re-written on the fly, with insurers forced to cope with the inevitable conflict between old standards and the new normal. . 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
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
As technology advances, traditional financial assets like insurance policies will have to change if they want to compete in our world. Other financial sectors have embraced blockchain technology and cryptocurrencies while insurance lags behind — leaving the industry saddled with expensive, inefficient processes.Customers and clients in the insurance world want to know how blockchain technology can improve their experience with insurance. MORE
Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. The insurance industry—which, in the US alone, stands at $1.2 trillion, is seeing the volume of insurance transactions growing every year. The way ahead for insurers. MORE
Reuters) - Cyber insurers and other financial institutions that facilitate payments to hackers to end cyberattacks risk running afoul of sanctions rules, the U.S. By Suzanne Barlyn. 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
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. The large number of claims that insurance companies receive means that adjusters often fail to review all the available information, which can result in a poor decision. MORE
The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting. This means Insurance fraud costs the average U.S. MORE
While the concentration has been on manufacturing, marketing, customer service, and logistics, AI is also being preferred by the insurance sector. More than three years ago, a well-known firm said that using AI tools would bring new life and energy into the insurance industry. MORE
While touching various industrial verticals with its advantages, Data Analytics is playing its part in the Insurance industry too. Insurance data analysis is the way to effectively gauge your financial situation to get an idea of how much risk, if any, you are able to undertake as a business and how much of it should be transferred to an insurance company. 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
Insurance firm Swiss Re faced a $250m (approximately £215m) loss if the event was canceled instead of being delayed. This is just a tip of the iceberg of the massive losses the Insurance sector is staring at due to COVID-19’s onset. The insurance industry —which, in the US alone, accounts for $1.2 In this article, we’ll examine the impact of the global pandemic on the insurance sector and also understand its response to the challenge. MORE
After a slow start, the insurance industry is embracing digital transformation – and this digital event highlighted how the sector’s data and analytics executives are leading the charge. Spurred on in part by InsureTechs intent on disrupting the industry, insurance companies have finally begun accelerating their digital transformations. MORE
How does an insurance company determine who is and who isn’t eligible for a policy? we all know, insurance is a customer centric industry and highly dependent on data. Just as how a house built on a weak foundation will collapse, an insurance company that uses poor quality data cannot be expected to be successful. Let’s find out how data quality can make or break your insurance business. 4 Ways poor data quality affect the insurance industry?Well, MORE
Case study: Automatic Detection of Trend Variations in Loss Ratio for a Global Insurance Major. The client is leading global insurer wanted to Automatic detection of trend variations in loss ratio. Case Study Insurance New Case Study Updated MORE
The insurance industry is data-driven. It also provides valuable customer behavior ideas for the insurers to benefit in strategic decision making.Insurance data analytics builds the guidelines for directing better decisions by accurate insights procured from the data analysis. 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
Case study: Demand Elasticity Estimation and Price Optimization for an Insurance Major. The client is a P&C insurance leader in Asia wanted to optimize their price & demand elasticity estimation. Case Study Insurance New Case Study Updated MORE
Data is a gold mine in the hands of insurers and using it the right way is what significantly changes the game of competition in the insurance industry. Some researchers predict that the power of Big Data in the insurance spectrum is yet to unleash itself in all its energy. The internet has widened the scope of data like never before and the unstructured data available even on social media could be of great importance to insurers. MORE
Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry. From telematics data in car insurance to geospatial data in the property sector and beyond – accurate and timely data empowers insurance companies to effectively assess and manage their portfolios of risks. 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. Advanced Analytical Processes in Insurance. Information Age notes that AI is already being used in the insurance industry to improve customer experiences. MORE
Insurance Related Topics 
DataFloq
AUGUST 3, 2020
The insurance industry is data-driven. It also provides valuable customer behavior ideas for the insurers to benefit in strategic decision making.Insurance data analytics builds the guidelines for directing better decisions by accurate insights procured from the data analysis.
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.
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DataFloq
JUNE 23, 2020
Data is a gold mine in the hands of insurers and using it the right way is what significantly changes the game of competition in the insurance industry. Some researchers predict that the power of Big Data in the insurance spectrum is yet to unleash itself in all its energy. The internet has widened the scope of data like never before and the unstructured data available even on social media could be of great importance to insurers.
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. AI-driven insurance app Lemonade is the latest in a long line of financial services innovations designed to put customer experiences first.
Advertiser: Data Robot
The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.
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
Cloudera
NOVEMBER 16, 2020
The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting. This means Insurance fraud costs the average U.S.
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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. From telematics data in car insurance to geospatial data in the property sector and beyond – accurate and timely data empowers insurance companies to effectively assess and manage their portfolios of risks. Using data to inform business decisions only works when the data is correct.
DataFloq
APRIL 29, 2020
As technology advances, traditional financial assets like insurance policies will have to change if they want to compete in our world. Other financial sectors have embraced blockchain technology and cryptocurrencies while insurance lags behind — leaving the industry saddled with expensive, inefficient processes.Customers and clients in the insurance world want to know how blockchain technology can improve their experience with insurance.
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. The large number of claims that insurance companies receive means that adjusters often fail to review all the available information, which can result in a poor decision.
DataFloq
JUNE 5, 2020
As an industry that works on the principles of data analysis, the insurance field is a game of big data. Since the stakes are high on the importance of insurance data analytics today to decide the leaders of the competition, one needs to be sure of their strategies.Insurance technology is the trusted step forward for insurers to drive data-based decisions with utmost precision.
bridgei2i
NOVEMBER 25, 2020
Automated Sales & Underwriting Strategies can Transform Insurance. One of the major repercussions of the COVID-19 pandemic in financial sectors has been the increase in awareness about insurable risks across categories and markets. BRIDGEi2i’s insurance solutions.
DataFloq
SEPTEMBER 18, 2019
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.
|
DataFloq
APRIL 24, 2020
How does an insurance company determine who is and who isn’t eligible for a policy? we all know, insurance is a customer centric industry and highly dependent on data. Just as how a house built on a weak foundation will collapse, an insurance company that uses poor quality data cannot be expected to be successful. Let’s find out how data quality can make or break your insurance business. 4 Ways poor data quality affect the insurance industry?Well,
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. Advanced Analytical Processes in Insurance. Information Age notes that AI is already being used in the insurance industry to improve customer experiences.
DataFloq
OCTOBER 1, 2020
Reuters) - Cyber insurers and other financial institutions that facilitate payments to hackers to end cyberattacks risk running afoul of sanctions rules, the U.S. By Suzanne Barlyn.
bridgei2i
OCTOBER 12, 2020
Case study: Demand Elasticity Estimation and Price Optimization for an Insurance Major. The client is a P&C insurance leader in Asia wanted to optimize their price & demand elasticity estimation. Case Study Insurance New Case Study Updated
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.
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.
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. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. This gender discrepancy has led to seven states in the United States banning the use of gender as a factor in auto insurance rates.
bridgei2i
OCTOBER 12, 2020
Case study: Automatic Detection of Trend Variations in Loss Ratio for a Global Insurance Major. The client is leading global insurer wanted to Automatic detection of trend variations in loss ratio. Case Study Insurance New Case Study Updated
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.
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.
DataFloq
SEPTEMBER 10, 2019
While touching various industrial verticals with its advantages, Data Analytics is playing its part in the Insurance industry too. Insurance data analysis is the way to effectively gauge your financial situation to get an idea of how much risk, if any, you are able to undertake as a business and how much of it should be transferred to an insurance company.
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?
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.
bridgei2i
OCTOBER 7, 2020
Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. The insurance industry—which, in the US alone, stands at $1.2 trillion, is seeing the volume of insurance transactions growing every year. The way ahead for insurers.
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.,
Cloudera
OCTOBER 21, 2020
The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Today’s models, norms, and averages are being re-written on the fly, with insurers forced to cope with the inevitable conflict between old standards and the new normal. .
bridgei2i
SEPTEMBER 4, 2020
While the concentration has been on manufacturing, marketing, customer service, and logistics, AI is also being preferred by the insurance sector. More than three years ago, a well-known firm said that using AI tools would bring new life and energy into the insurance industry.
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
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.
Cloudera
NOVEMBER 4, 2020
Insurance is no different. Insurance is not something the average consumer thinks about every day but when a life changing event happens, insurance becomes extremely important. It is in this “Moment of Truth” that insurers excel or fail. It’s all about the Customer.
bridgei2i
APRIL 16, 2020
Insurance firm Swiss Re faced a $250m (approximately £215m) loss if the event was canceled instead of being delayed. This is just a tip of the iceberg of the massive losses the Insurance sector is staring at due to COVID-19’s onset. The insurance industry —which, in the US alone, accounts for $1.2 In this article, we’ll examine the impact of the global pandemic on the insurance sector and also understand its response to the challenge.
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.
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
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.
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