Article | July 13, 2022
Automated claims processing, price comparison platforms, mobile bill paying—these are just some of the digital services that insurance customers expect and insurers want to provide. As the demand for digital skyrockets, so does the need for insurers to invest in IT. In the past seven years, the share of IT in total operating costs of property-and-casualty (P&C) insurers increased 22 percent. The rise of digital means technology is no longer a cost center. Rather, it is an asset that, if managed well, can increase growth and profitability.
But do these IT investments pay off? As the COVID-19 pandemic exacerbates already increasing cost pressures, insurers’ IT budgets are under scrutiny; they want to see the business impact of their IT investments.
Insurers with targeted IT investments achieve better growth and performance
Data from McKinsey’s Insurance 360° benchmarking survey provide strong evidence of the positive business impact of targeted IT investments. In fact, insurers that invest more in technology outpace competitors that don’t pursue targeted investments in business measures such as gross written premium (GWP) growth, return to shareholders, and expense and loss ratio (exhibit).
As an example, in life insurance, companies that invested more in IT saw a greater reduction in expense ratios (by 2.0 percentage points) and higher returns on technical reserves2 (1.7 percentage points) when compared with insurers with lower IT investments. Insurers achieved these outcomes within three to five years of making their investments.
For P&C insurers, those with high IT investments achieved approximately twice the top-line GWP growth of low IT investors. High IT investments also produced a greater reduction in combined ratios when compared with those with low IT investment.
Four areas for targeted IT investment
So what kinds of technology investments can help insurers achieve growth and improve productivity and performance? Investments in four areas are critical:
Marketing and sales: Marketing technology solutions can increase sales and processing efficiency, improve the quality of core customer-facing processes such as policy inquiries and policy applications, and improve customers’ overall experiences. McKinsey’s Insurance 360° benchmarking data show that tech investments in this category can facilitate top-line growth for P&C insurers by up to 20–40 percent; for life insurers, that growth could be 10–25 percent over a three- to five-year period.
Underwriting and pricing: Automated underwriting fraud detection can improve the likelihood that insurers correctly identify fraud and set accurate prices. A pricing tool kit that analyzes pricing across competitors and enables a flexible, more segmented market versus technical pricing further improves profit margins. Insurers that deploy these and other product, pricing, and underwriting technologies have seen improvements in their profit margins by 10–15 percent in P&C insurance and 3–5 percent in life insurance.
Policy servicing: Workflow automation, artificial intelligence–based decision support, and user experience technologies in policy servicing and within IT can improve the customer self-service experience and automate back-office processes, thus reducing IT and operations expenses. And state-of-the-art self-servicing options will reduce processing times and even improve customer experience. An analysis of programs for large-scale insurance IT modernization finds that insurers that deploy these and other product, pricing, and underwriting technologies have seen improvements in their profit margins by 5–10 percent in P&C insurance and 10–15 percent in life insurance.
Claims: P&C insurers can use automated case processing—machine-learning technology trained to process basic claims cases—to segment more complex cases and significantly improve claims accuracy. Combined with better partner integration and steering technologies embedded in a transformation of the claims operating model, such technologies can help P&C insurers improve profit margins by 25–40 percent, according to McKinsey analysis of large-scale IT modernization programs.
To realize the full value of IT investments, insurers must strategically allocate their resources and view tech as an asset, not a tool.
Article | July 15, 2022
A quick Google Trends search on data reveals that data analytics, data and analytics, data analysis, and predictive analytics have steadily grown in popularity among businesses across industries.
These terms peaked when business leaders searched for ways to increase ROI and reduce business costs and tech-based investments. The insurance industry is amongst the industries actively leveraging data analytics.
The rising importance of analytics in insurance has made CMOS take note too. As agility became more important in the insurance industry, more than 85% of global businesses shifted to a data-driven model.
The purpose of taking you back is to emphasize that, as a CMO, now you need to churn accurate data and turn it into relevant information. This is a necessary model to practice to make the right decisions or will improve the decision-making process.
Without data analytics, you are deciding in a void, and that’s not considered good practice. Forrester reports that 41% of insurance companies faced challenges in extracting data and making decisions based on it in 2020.
Take a look at how and what you can do with insurance analytics to cater to better insights into your decision-making process and, finally, ROI generation.
Bring Data to These Key Levels of Departments
Analytics in insurance raises the bar in terms of marketing. As you know, marketing results frequently fluctuate, making data insights challenging to capture. CMOS who base their decisions solely on outcomes usually loses sight of making sound decisions due to unstructured data.
Therefore, it is essential to have an aligned platform for data analysis in insurance. To begin with, marketers must understand the various types of data analytics available. Most insurance marketers employ descriptive, predictive, and prescriptive analytics, among others. This will assist them in strategizing based on continuous data insights from various sources for any given initiative.
Sales leaders can also improve how they spend their time by using data analytics to create more accurate sales forecasts. However, the question is, how will they do it efficiently?
CRM software is the answer and solution to them. The software performs best because of its analytical capabilities in combination with data visualization, particularly predictive functions. It generates enormous amounts of data on customer interactions, which can then be used to inform decisions. You can assemble relevant data and use it to make some decisions, such as:
Acquisition and management of leads
Sales funnel optimization
There is enormous value in optimizing productive data by focusing on prospects likely to become loyal customers.
Utilizing data analytics in insurance boosts insurance operations. Small changes help to align a wide range of core processes. You can access data obtained from operations, observe key aspects of the overall processes, and make appropriate decisions. A targeted, timely, and data-driven approach will help you make decisions about these key functions, which can lead to business growth in the long run.
Bain's research in 2019 reports that seventy insurers were polled. They say data analytics will reach 58% in the marketing funnel and 45% in business operations.
Begin with Overcoming Barriers to your Decision-Making Process
Use Data to Identify Customer Patterns
Information from data can identify patterns. As mentioned above in the sales section, CRM's predictive modelling and the popular Google Analytics' descriptive overview are the two best platforms for identifying customer patterns.
What is the best way to get pertinent data? Data mining is the answer to it. Do you want to know about it? Then read data mining for pattern evaluation now!
As a CMO, you're probably aware that behavioral patterns are highly predictable and can sometimes result in unsatisfactory outcomes. This occurs when you are unable to obtain relevant data. And you end up performing ineffective marketing activities. To assist you in overcoming it, an AI-enabled platform can reduce the level of effort and provide the necessary data to study your customers' patterns in real-time. This is how you will notice a significant increase in sales.
According to research by McKinsey and Company, automation saves 43% of insurance employees’ time.
Segmenting Sales Plans
Following the establishment of your customers' patterns, segmenting the insurance sales plan is a necessary step. In this process, analytics provide detailed information about customers, allowing you to make decisions about sales functionalities. This will undoubtedly reduce the time, energy, and effort you previously spent.
Accurate customer segmentation and sales forecasting can also help tailor marketing efforts, improve the sales funnel, and keep sales strategies in check.
When Media 7 contacted Vishal Srivastava, Vice President (Model Validation) at Citi, here’s what he said about data segmentation through data analytics.
CMOs must ensure that adequate data quality checks have been performed, The goal is to ensure a scientific approach to data segmentation, sampling methodology, and data outliers, which can significantly impact revenue forecasts.”
Pricing & Savings
Analytics in insurance marketing can help CMOs make cost-cutting decisions and become more cost-effective in marketing efforts. It can set price ranges based on historical, current, and predictive performance. Also, analytics will help you figure out how to price things in the future, which will be good for ROI.
Keep Improving with Data to Stay Abreast with The Decision-Making Process
Better data organization in your business boosts productivity."
Warren Buffett, an American business magnate, investor, and philanthropist.
This phase is best suited to the current business environment. Implementing data analytics in insurance now will open up tremendous opportunities in the future. To make the most of them, you, as a CMO, must stick to a data-driven model for marketing actions.
Aside from that, it appears that the data analytics you select for your business must be capable of informing and driving performance. Performances ranging from risk assessment to sales forecasting and a plethora of actionable insights assist businesses in thriving.
Frequently Asked Question
How are data analytics used in insurance companies?
Data analytics empowers insurers to optimize each function and also assess risks. It also identifies trustworthy customers, which further boosts engagement.
What does data analytics mean in insurance?
Data analytics empowers insurance professionals by providing them with the business intelligence to understand their customers better, build better products and services, and thus, boost business growth.
How are insurance companies using data?
Insurers can use data to gain insights from customers’ profiles. They can review their history, behavioral pattern, and marketing needs to develop strategies and provide marketing services.
Core Insurance, Risk Management
Article | September 22, 2022
Environmental, social, and governance (ESG) considerations have increasingly entered the mainstream of investment discussions, both through routine incorporation into traditional investment processes and through distinct sustainable or impact investing styles. Recent and current global conditions, such as extreme weather events, the inequitable effects of the COVID-19 pandemic, rising distrust of government institutions, and geopolitical challenges to a rules-based world order, have accelerated this trend, emphasizing the direct relevance of ESG and sustainability to understanding long-term market risks and opportunities.
Until recently, equity investors were more concerned with ESG and sustainability than their fixed-income counterparts. That is, however, beginning to change, and at a rapid pace. ESG and sustainability have gained significant traction among bond investors, particularly since the implementation of COVID-19, and are now widely regarded as essential components of fixed income investing. For example, global sustainable debt issuance reached a new high of over US$1.6 trillion in 2021 and is expected to rise further in the coming years. Notably, we believe that ESG integration and sustainable fixed-income investing require a very deliberate, thoughtful approach — one that varies significantly from one fixed-income sector to the next.
ESG and sustainability:
At a high level, researchers believe that increased awareness of ESG and sustainability benefits global markets in two ways:
1. ESG integration allows market participants to think more holistically about the types of financially material risks and opportunities — such as physical, reputational, and (geo)political — that should ideally be reflected in asset valuations and taken into account during the routine portfolio construction and management process.
2. Furthermore, the conversation about sustainable investing is encouraging more market participants to look beyond narrow, issuer-specific investment thesis to consider how market participants' behaviors affect the broader systems and structures (e.g., climate stability, institutional strength) whose long-term viability is critical for the long-term health of economies and markets.
We, like many others, believe that a stable global climate, clean air and water for all, adherence to the rule of law, strong institutions with broad public legitimacy, and broad-based access to economic opportunity are valuable public goods from which market participants would benefit collectively over time. As a result, a central goal of sustainable investing is to assist markets in evolving toward rewarding participants for exercising responsible stewardship of these public goods, which are critical to pursuing favorable long-term outcomes for the real people who are the ultimate beneficiaries of markets. This framing of sustainability highlights why fixed income is so important in moving global markets and economies in a more sustainable direction.
Article | July 11, 2022
Online shopping is quickly becoming the new norm in the wake of the COVID-19 pandemic. Most retailers had to migrate their businesses to the cloud in order to meet the current demands of highly tech-savvy consumers, and the use of POS software has become more important than ever. A cloud-hosted POS solution is no longer an option for small and large businesses, but rather a requirement.
POS systems have provided retailers with a more efficient way to track inventory and manage sales, replacing the old cash register and traditional methods of selling. As ecommerce grows, POS solutions play an important role in increasing convenience for online customers and providing a customer-centric experience.
To keep up with the latest POS system developments, there is a list of the most important POS software trends to watch for. By understanding current POS software adoption reports and key insights, you can maximize the potential of your existing POS solution or, better yet, have better ideas on financing trends by POS that can bring value to your retail business.
Consumers had to reorient their purchasing toward needs like food, medicine, and other home items as the viral pandemic threatened everyone's health and safety. The US Census Bureau recently released a report that found that throughout the pandemic, retail stores providing food and beverages saw the biggest monthly growth in retail sales.
To better understand how POS systems are assisting retailers in overcoming the challenges posed by the rapidly changing retail landscape, here’s a list of the most recent and important POS software trends:
Cashless Transactions via Mobile POS Systems
Adoption of Cloud-Hosted POS Systems
Customer Layout Programs
Personalized Shopping Experience
AI Integration in POS Systems
Use of POS Data Analytics
Simple POS Hardware
Investing in modern POS systems and maximizing their rich feature sets can help your retail business go a long way, from attracting new customers to retaining a loyal customer base that can drive sales and support your long-term growth.