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 worthwhile 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 need to attain a digital end-state and embed the enabling capabilities they should carry out within the cloud utilizing a route that’s quicker, higher, and cheaper. Modernizing the mainframe is the final mile in 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 known as upon to be extra agile in order to maintain tempo with quickly altering calls for. This is because of a variety of things, from larger inflationary atmosphere bills for insurance coverage operations and rising claims, to the impression 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 rising 12 months over 12 months 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 must be extra agile, however must deal with 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 presently not doable as a result of numerous 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 – which means that the sector requires reimagined operations from the bottom up in an effort 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 price 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 rising, with enterprise functionality wants driving up Million-Directions-Per-Second (MIPS) utilization and value. A legacy mainframe additionally has an impression on expertise, as devoted workers shall 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 danger.
Modernizing the mainframe is not only about total agility, however securing a basis for essential technological transformation. In a current report on Remodeling Claims and Underwriting with AI, Accenture illustrates with widespread business analysis that AI has emerged because the transformative expertise and significant differentiator within the insurance coverage business when utilized in tandem with people. Nonetheless, AI transformation will not be doable if an insurer has not dismantled and up to date mainframe platforms first.
Mainframe modernization outcomes
Modernizing the mainframe provides some compelling advantages. By operating in a cheaper atmosphere, working prices are drastically lowered, and using a extra trendy platform dramatically reduces platform useful resource prices. Collectively, this may end up in a 40 p.c discount in working bills. Whereas this financial savings is important, it isn’t the one profit. Most significantly, mainframe modernization – by means of agility, flexibility and entry to vital mainframe information – has a robust impression on enterprise worth. As a current Accenture weblog, Mainframes: The final frontier of cloud migration emphasizes, clients are capable of leverage their mainframe information, which may comprise many years of enterprise transactions, and use that information to feed analytics or machine studying initiatives that may ship aggressive benefit. The weblog publish additionally illustrates the essential function the modernization of the mainframe performs in closing the talents hole – it may counter the issue many firms are dealing with as their mainframe specialists attain retirement age and also can appeal to new expertise all for modernizing core enterprise workloads.
Modernization additionally provides the flexibility to deploy new options, merchandise and capabilities a lot faster and together with interoperable purposes, guarantees as much as 5 instances deployment speeds. New enterprise capabilities similar to the flexibility 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 relies on the strategic and progress priorities of the insurance coverage enterprise.
New platforms and migration applied sciences permit for compressed transformations
Mainframe modernization will not be 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 large spectrum of selections obtainable to modernize at a tempo that’s comfy and vital for the insurer. In the present day’s mainframe migration expertise helps this, permitting for automated, quick, and low-cost migration to the cloud. This expertise contains SaaS options, Cloud maturity and advances in migration applied sciences.
By way of approaches, insurers can roll out the next interventions, which all differ in scale and depth:
- Re-platform: Migrating an utility 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 danger regarding legacy expertise, enhance agility and cut back prices
- Change: Figuring out a managed service/utility that may present required performance, together with extracting and migrating information to a brand new system to cut back complexity and prices
- Reimagine: Reimagining the enterprise completely with rewritten and rationalized purposes
How insurance coverage firms 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 expertise used. The appliance relies on whether or not the insurer makes a speciality of life and annuities, group and well being, retirement, private strains/small business and enormous business. Nonetheless, there are three key steps that decide the path of each mainframe modernization journey:
- Defining enterprise priorities
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- a. What are the very best priorities for the enterprise?
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- b. How do these align to the important thing issues brought on by operating on the mainframe?
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- Figuring out price range constraints
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- a. What’s the price range obtainable at present?
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- b. What’s the period obtainable to understand ROI?
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- Figuring out capability for transformation
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- a. What’s the IT workforce’s capability for transformation?
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- b. Are there sources obtainable?
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- c. Is there numerous different change occurring?
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Following this course of ends in a singular mainframe modernization plan.
Accenture’s insurance coverage mainframe modernization methodology will show you how to develop a journey aligned along with your targets. Contact us to get began.
Gas the way forward for insurance coverage: Expertise modernization, similar to AI and cloud-fueled information analytics, helps insurers ship worthwhile progress each by means of rising revenues and slicing prices.
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