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 invaluable 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 direction of enabling enterprise capabilities, reimagining the enterprise and driving a cloud working mannequin.
If we take a look at the market forces shaping the broader trade, 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 spread of things, from increased inflationary atmosphere bills for insurance coverage operations and rising claims, to the impression of the worldwide pandemic and predicted recession. With a high-interest charge atmosphere and future predicted volatility, prices want to return 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 numerous methods. Property and Casualty (P&C) insurers not solely must be extra agile, however must concentrate on advertising and marketing factors of differentiation whereas commoditizing non-differentiators. The Life & Annuity (L&A) and Retirement trade will profit from unlocking distribution, a feat which is at present not doable as a result of quite a lot of that logic is embedded within the mainframe. Subsequently, the main focus 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 with the intention to enhance buyer relationships and achieve 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 price 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 price. A legacy mainframe additionally has an impression on expertise, as devoted workers will probably 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 isn’t just about general agility, however securing a basis for necessary technological transformation. In a latest report on Reworking Claims and Underwriting with AI, Accenture illustrates with widespread trade analysis that AI has emerged because the transformative know-how and important differentiator within the insurance coverage trade 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 gives some compelling advantages. By working 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 % discount in working bills. Whereas this financial savings is critical, it’s not the one profit. Most significantly, mainframe modernization – by way of agility, flexibility and entry to essential mainframe knowledge – has a strong impression on enterprise worth. As a latest Accenture weblog, Mainframes: The final frontier of cloud migration emphasizes, prospects are capable of leverage their mainframe knowledge, which might comprise a long time of enterprise transactions, and use that knowledge to feed analytics or machine studying initiatives that may ship aggressive benefit. The weblog put up additionally illustrates the necessary function the modernization of the mainframe performs in closing the talents hole – it will possibly counter the issue many firms are dealing with as their mainframe consultants attain retirement age and may also appeal to new expertise desirous about modernizing core enterprise workloads.
Modernization additionally gives the power to deploy new options, merchandise and capabilities a lot faster and along with interoperable functions, 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 knowledge processing effectivity are additionally unlocked. These advantages may be led to by conservative changes, or a whole system transformation. All of it depends upon the strategic and progress priorities of the insurance coverage enterprise.
New platforms and migration applied sciences enable 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 broad spectrum of selections out there to modernize at a tempo that’s comfy and mandatory for the insurer. Immediately’s mainframe migration know-how helps this, permitting for automated, quick, and low-cost migration to the cloud. This know-how contains 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 danger referring to legacy abilities, enhance agility and cut back prices
- Substitute: Figuring out a managed service/software that may present required performance, together with extracting and migrating knowledge to a brand new system to cut back complexity and prices
- Reimagine: Reimagining the enterprise totally with rewritten and rationalized functions
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 know-how used. The appliance depends upon whether or not the insurer makes a speciality of life and annuities, group and well being, retirement, private strains/small industrial and huge industrial. Nonetheless, there are three key steps that decide the route 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 working on the mainframe?
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- Figuring out price range constraints
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- a. What’s the price range out there in the present day?
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- b. What’s the length out there to appreciate ROI?
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- Figuring out capability for transformation
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- a. What’s the IT staff’s capability for transformation?
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- b. Are there assets out there?
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- c. Is there quite a lot of 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 provide help to develop a journey aligned together with your objectives. Contact us to get began.
Gas the way forward for insurance coverage: Know-how modernization, reminiscent of AI and cloud-fueled knowledge analytics, helps insurers ship worthwhile progress each by way of rising revenues and reducing prices.
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