惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

雷峰网
雷峰网
V
Visual Studio Blog
NISL@THU
NISL@THU
S
Security Affairs
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
大猫的无限游戏
大猫的无限游戏
Microsoft Security Blog
Microsoft Security Blog
云风的 BLOG
云风的 BLOG
The Register - Security
The Register - Security
博客园_首页
月光博客
月光博客
aimingoo的专栏
aimingoo的专栏
I
InfoQ
Spread Privacy
Spread Privacy
P
Proofpoint News Feed
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
爱范儿
爱范儿
T
Tor Project blog
有赞技术团队
有赞技术团队
美团技术团队
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Hacker News: Ask HN
Hacker News: Ask HN
Google DeepMind News
Google DeepMind News
WordPress大学
WordPress大学
Google Online Security Blog
Google Online Security Blog
Vercel News
Vercel News
Webroot Blog
Webroot Blog
S
Security @ Cisco Blogs
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Application and Cybersecurity Blog
Application and Cybersecurity Blog
D
DataBreaches.Net
J
Java Code Geeks
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
腾讯CDC
博客园 - 司徒正美
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
Security Archives - TechRepublic
Security Archives - TechRepublic
G
Google Developers Blog
The GitHub Blog
The GitHub Blog
小众软件
小众软件
www.infosecurity-magazine.com
www.infosecurity-magazine.com
N
News and Events Feed by Topic
Forbes - Security
Forbes - Security
T
Troy Hunt's Blog
C
Check Point Blog
D
Docker
Latest news
Latest news
Martin Fowler
Martin Fowler
T
Tenable Blog

Latest blog posts

Finding Solutions for Data Bias | Demyst Using Snowflake for External Data Deployment | Demyst 5 Hurdles Facing New Financial Products | Demyst The What, Why, and How of External Data | Demyst Fast Company Recognizes How External Data Can Change the World | Demyst 5 Checks for Flagging Fraud Risk | Demyst External Data’s Tipping Point | Demyst OpenCorporates Spotlight: Data Transparency Deep Dive | Demyst Vendor Due Diligence for Data Privacy | Demyst How Lenders and Insurers Can Use Geolocation Data | Demyst Assessing Driver Risk Without Using Credit Scores | Demyst Digital Footprints for ID Verification | Demyst Layered Solutions to Fight SMB Lending Fraud | Demyst Global IDV Workflows Demand Multi-Source Solutions | Demyst Fintechs: Drifting into Compliance Failure? | Demyst Penalties Mount for Marketers Using Toxic Data | Demyst Assess Insurance Risk with Property Data | Demyst Application Prefill: A Digital Reality | Demyst Demand for ESG Data is Accelerating | Demyst Demyst’s Entity Resolution: Multi-Source Recipes | Demyst Verifying Phone Numbers Is Key for the BNPL Vertical | Demyst Game Changer: Demyst’s Entity Resolution Tech | Demyst Social Inflation Raises Courtroom Risks | Demyst Expecting the Unexpected | Demyst Meet Demyst at AWS re:Invent 2021 | Demyst External Data Addresses Crypto Regulations | Demyst Supply Chain Risk Management | Demyst Collaboration with AWS Data Exchange | Demyst Improving Trust on Managed Platforms | Demyst Risk Management: Diving Deeper | Demyst Assess Risk with Crime Data | Demyst The Risk Equation for Online Transactions Has Changed | Demyst Data Decay: An Ongoing Issue | Demyst The Increasing Responsibilities of Non-Bank Lenders | Demyst Mitigating Fraud with Social Media Data | Demyst Pandora Papers Pierce the Veil | Demyst What Constitutes ESG Data? | Demyst Demand for BNPL services is growing exponentially...data is the enabler. |… Residential Property Data For Marketing Decisions | Demyst Liens: Key Risk Assessment Indicators | Demyst Looking Beyond Registry Details for U.S. Businesses | Demyst Synthetic Identities, Genuine Fraud | Demyst Business Judgment Monitoring Made Frictionless | Demyst External Data Insights for the Insurance Industry | Demyst Going Deeper than Tax Assessor Data for Marketing | Demyst Addressing Data Decay in Phone Numbers | Demyst Leveraging External Data to Address Rising Compliance Costs | Demyst How to Verify a U.S. Person’s Address | Demyst Automating Due Diligence Processes with Business Website Lookup | Demyst Inspecting the Dots: Common Checks to Spot Fraudulent Businesses | Demyst Mind the Gap in Local Property Records | Demyst State Regulators Set External Data and Model Monitoring Requirements | Dem… Mitigating Marketplace Onboarding Risk With External Data | Demyst Warning Signs in Small Business Insurance | Demyst Climate is Changing and So Must Insurance | Demyst How are Commercial Insurers Adapting to Climate Change? | Demyst Untangling Merchant Chains of Ownership with UBO Data | Demyst Demyst raises A$33m and announces plans to IPO | Demyst Digital Fraud Attempts Have Risen By 150% | Demyst A new report suggests 79% of businesses will forsake some growth for incre… It's flood season! In response, FEMA is incorporating new external data in… Millions of PPP dollars went to fake farms in the Carolinas...could it hav… Litigation analytics is taking off...what data is available and what are t… Enterprise Litigation Analytics Data Landscape | Demyst B2B intent data is powerful...but third-party cookies are going away soon.… Assessing business intentions....with intent data | Demyst Privacy policies for geolocation data are changing....what will be the imp… Data Landscape - Global Mobility Data | Demyst DemystData Announces Collaboration with AWS Data Exchange to support exter… Emerging Small Business Use-Cases with Geolocation Data | Demyst HazardHub Data Spotlight: 900+ attributes to describe and assess a propert… Demyst Recipe: Getting Business Registration Details from Multiple Data So… Launching the Demyst Webinar Series | Demyst Why establish FinCrime data middleware? | Demyst Know more. Do more. | Demyst Predicting Customer Trajectory with External Data | Demyst Demyst and Harbor Point Analytics partner to bring external data to the In… Leveraging External Data to Identify "Breakout SMBs" | Demyst Dynamic Fraud Mitigation | Demyst Swimming Pools, Trampolines, and Now What | Demyst Automating CARES Act Payroll Verification | Demyst Who knows their County FIPS code anyway? Say hello to Zip code based Covid… Examining consumer behavior during COVID-19 using near real-time consumer … Assessing Covid Supply Chain Risks with External Data | Demyst A message from the Demyst team | Demyst
Looking Ahead: High Expectations, Low Margins for Error | Demyst
Demyst Team · 2022-02-11 · via Latest blog posts

The insurance industry remains in a state of transformation — it’s possible that recovering from the global pandemic was more disruptive to business processes than the pandemic itself. 

Customers continue to raise their expectations for insurers and digital experiences, which makes it important to stay competitive by improving product offerings. At the same time, these customers have changed their behavior in ways that make expectations more challenging to meet.

The good news is that insurers have never had more powerful tools available for improving client service and reducing their own operational burdens. Vast data sets can offer alternatives to credit-based insurance scoring models and provide customer 360 profiles with greater speed and flexibility than ever before.

One such tool is the BusinessCore database from AnalyticsIQ. Demyst interviewed Curtis Marshall, SVP of Business Data at AnalyticsIQ, to discuss the expectations of insurance customers and ways that insurers can meet them.

What follows is a transcript of the interview. 

Demyst: Please give us an overview of your role as at AnalyticsIQ

Curtis Marshall: At AnalyticsIQ, I am the SVP of Business Data where I lead the strategy for our B2B data, BusinessCore, our B2B2C linkage solution, and insurance partnerships. BusinessCore is a one-of-a-kind database that provides insight into the hearts and minds of the individuals making decisions for their organizations. Our team has also developed a strong, proprietary B2B2C linkage that links an individual’s consumer profile at home to their professional profile at work, giving organizations a true 360-degree view of an individual – regardless of whether they are at home or at work.

What data is available from AnalyticsIQ?

AnalyticsIQ offers comprehensive consumer and B2B data known as PeopleCore and BusinessCore respectively.

PeopleCore, our proprietary consumer database, provides thousands of attributes ranging from foundational demographics and lifestyle interests to purchase predictors and psychological motivations on over 251 million individuals and 122 million households. Our data provides marketers and data scientists with a deep understanding into who people are, what people do, and - most importantly – why they make the decisions they make.

BusinessCore offers traditional firmographic data on over 23 million businesses and attributes on nearly 102 million professionals that you can’t get anywhere else such as employee decision making or influence status or marketing content preferences. This facilitates personalization in B2B marketing typically reserved for B2C brands.

What are some of the data points that insurers can use to gain insight into their customers’ needs?

Often in insurance, one of the best opportunities to acquire new customers or additional business from existing clients is after a life event like having children, buying a home or car, starting a business, or getting married. But without an invitation to your client’s wedding, it can be difficult to get the timing right without the right data. Having data that can provide insight into the individual experience in such areas is a must.

However, with so much competition, simply reaching out at the right time may not be enough. Insurers need to know their customers on a deeper level. Are they value seekers looking for a deal or are they conscious shoppers that want the best coverage? Are they a business decision maker who is more likely to answer your email rather than your LinkedIn invite? Today, insurance companies can better connect with their customers and clients by understanding their lifestyle and decision drivers.

Have you been seeing noteworthy changes in the way insurers approach customer acquisition? 

Although insurance may be thought of as a traditional industry, many insurers are allocating more dollars than ever to the digital ecosystem for custom acquisition – from advertising on social media or advanced TV to the customer experience and ability to acquire policies and quotes in real-time online. We’ve even seen the emergence of platform-based, insuretech solutions offering streamlined click, quote, bind processes for individuals and businesses, so coverage is nearly immediate. Insurance companies must lean into these changes to not only fend off competition but also reap the rewards presented by emerging opportunities.

How have customer expectations for insurers changed in the past few years?

Customers today expect a simple, streamlined experience that allows them to get an immediate, bindable quote personalized to their life. Consumers and businesses that are shopping for insurance want coverage based on their situation sooner than later. Insurers must have the technologies and processes – along with data to back them up – in place to make it as easy as possible for a prospect to become a customer.

Which technologies can insurers apply to improve the customer experience?

In order to answer the call of the simplified digital experience that consumers and businesses expect today, insurers must have comprehensive, individual-level data and the ability to extract actionable observations. By boosting what they know about applicants or understanding their best policy holders, insurers can personalize recommendations and expediate the underwriting process while not giving up insights into liability.

This type of data can also enhance an insurer’s understanding of their current in-force policies to identify other lines of business and other opportunities they would have not otherwise known existed.

What capabilities will determine success for insurers in the year ahead?

Going into 2022 and beyond, the most successful insurers will be those that embrace innovation and become data-driven beyond their first-party data in order to gain that 360-degree picture of their policy holders and prospects. With a B2B2C view and predictive insights, insurers can uncover new opportunities, all while minimizing risk by ensuring they are writing the right policies and more.

Curtis, thank you for your time. 

For an expanded look at the changes coming to external data in the year ahead, download Demyst's External Data Predictions Report for 2022.