Why good insurers are modernizing their mainframe now | Insurance coverage Weblog

In a market that calls on insurers to be agile and digitize at scale, an insurer’s mainframe can both catalyze or inhibit progress. Whereas the mainframe was as soon as a priceless core technological perform, many legacy mainframes lack the agility to fulfill the calls for of buyer expectations and speedy digital progress.

The decision for mainframe modernization

Insurers wish to attain a digital end-state and embed the enabling features they should carry out within the cloud utilizing a route that’s sooner, higher, and cheaper. Modernizing the mainframe is the final mile in the direction of enabling enterprise capabilities, reimagining the enterprise and driving a cloud working mannequin.

If we have a look at the market forces shaping the broader business, insurers are being referred to as upon to be extra agile in order to maintain tempo with quickly altering calls for. This is because of a spread of things, from greater inflationary atmosphere bills for insurance coverage operations and growing claims, to the influence of the worldwide pandemic and predicted recession. With a high-interest price atmosphere and future predicted volatility, prices want to come back down, and one of many prices that’s growing yr over yr is upkeep of the mainframe.

Zooming in on sectors inside insurance coverage, this want for agility is manifested in several methods. Property and Casualty (P&C) insurers not solely should be extra agile, however have to concentrate on advertising factors of differentiation whereas commoditizing non-differentiators. The Life & Annuity (L&A) and Retirement business will profit from unlocking distribution, a feat which is at the moment not potential as a result of a number of that logic is embedded within the mainframe. Subsequently, the main target is on modernizing the mainframe to allow digital channels. Group and Retirement insurers are present process a compressed transformation – that means that the sector requires reimagined operations from the bottom up with a view to enhance buyer relationships and acquire a aggressive benefit – with Group hurting on margins, and Retirement hurting on margins and scale. Lastly, Group and Well being insurers are being challenged to drive down the fee foundation, and drive progress, for instance, by including a wellness layer to their providing.

From a value perspective, the case for mainframe modernization is obvious.  The demand positioned on the insurance coverage infrastructure is growing, with enterprise functionality wants driving up Million-Directions-Per-Second (MIPS) utilization and price. A legacy mainframe additionally has an influence on expertise, as devoted workers will likely be required to supply upkeep and maintenance – a diminishing skillset as increasingly senior staff retire from the workforce. Down the road, this manifests as a substantial enterprise threat.

Modernizing the mainframe is not only about total agility, however securing a basis for essential technological transformation. In a current report on Transforming Claims and Underwriting with AI, Accenture illustrates with widespread industry research that AI has emerged as the transformative technology and critical differentiator in the insurance industry when applied in tandem with humans. However, AI transformation is not possible if an insurer has not dismantled and updated mainframe platforms first.

Modernizing the mainframe offers some compelling benefits. By running in a less expensive environment, operating costs are drastically lowered, and the use of a more modern platform dramatically reduces platform resource costs. Together, this can result in a 40 percent reduction in operating expenses. While this savings is significant, it is not the only benefit. Most importantly, mainframe modernization – through agility, flexibility and access to critical mainframe data – has a powerful impact on business value. As a recent Accenture blog, Mainframes: The last frontier of cloud migration emphasizes, prospects are capable of leverage their mainframe information, which might include a long time of enterprise transactions, and use that information to feed analytics or machine studying initiatives that may ship aggressive benefit. The weblog put up additionally illustrates the essential position the modernization of the mainframe performs in closing the talents hole – it may well counter the issue many corporations are dealing with as their mainframe consultants attain retirement age and may also appeal to new expertise concerned with modernizing core enterprise workloads.

Modernization additionally affords the power to deploy new options, merchandise and capabilities a lot faster and along side interoperable purposes, guarantees as much as 5 instances deployment speeds. New enterprise capabilities reminiscent of the power to include AI and ML, real-time decision-making and information processing effectivity are additionally unlocked. These advantages may be led to by conservative changes, or a whole system transformation. All of it is determined by the strategic and progress priorities of the insurance coverage enterprise.

New platforms and migration applied sciences enable for compressed transformations

Mainframe modernization is just not a one-size-fits-all proposition. It’s pushed by the distinctive market wants of the insurer and the strategic intent of the enterprise. There’s a extensive spectrum of decisions obtainable to modernize at a tempo that’s snug and crucial for the insurer. At this time’s mainframe migration know-how helps this, permitting for automated, quick, and low-cost migration to the cloud. This know-how consists of SaaS options, Cloud maturity and advances in migration applied sciences.

By way of approaches, insurers can roll out the next interventions, which all fluctuate in scale and depth:

• Re-platform: Migrating an software with out altering the programming language to a different platform / Working System
• Re-factor: Harnessing Accenture’s language migration toolkit to rework from legacy to trendy programming language code, utilizing (semi) automated tooling to mitigate threat regarding legacy abilities, improve agility and scale back prices
• Substitute: Figuring out a managed service/software that may present required performance, together with extracting and migrating information to a brand new system to scale back complexity and prices
• Reimagine: Reimagining the enterprise solely with rewritten and rationalized purposes

How insurance coverage corporations can start their mainframe modernization journey

There are nuances to how mainframe modernization is utilized inside insurance coverage. These options differ in depth from enterprise advantages to the know-how used. The applying is determined by whether or not the insurer makes a speciality of life and annuities, group and well being, retirement, private strains/small industrial and huge industrial. Nevertheless, there are three key steps that decide the course of each mainframe modernization journey:

1. Defining enterprise priorities
   1. a. What are the best priorities for the enterprise?
   2. b. How do these align to the important thing issues brought on by working on the mainframe?

2. Figuring out funds constraints
   1. a. What’s the funds obtainable in the present day?
   2. b. What’s the period obtainable to understand ROI?

3. Figuring out capability for transformation
   1. a. What’s the IT group’s capability for transformation?
   2. b. Are there assets obtainable?
   3. c. Is there a number of different change taking place?

Following this course of leads to a singular mainframe modernization plan.

Accenture’s insurance coverage mainframe modernization methodology will enable you to develop a journey aligned together with your targets. Contact us to get began.

Gasoline the way forward for insurance coverage: Know-how modernization, reminiscent of AI and cloud-fueled information analytics, helps insurers ship worthwhile progress each by means of rising revenues and reducing prices.

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