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 beneficial core technological operate, many legacy mainframes lack the agility to satisfy the calls for of buyer expectations and fast digital progress.
The decision for mainframe modernization
Insurers need to attain a digital end-state and embed the enabling features 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 take 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 spread of things, from greater inflationary surroundings bills for insurance coverage operations and rising claims, to the affect of the worldwide pandemic and predicted recession. With a high-interest fee surroundings 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 should be extra agile, however must 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 presently not attainable as a result of a variety 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 in an effort 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 price foundation, and drive development, for instance, by including a wellness layer to their providing.
From a value perspective, the case for mainframe modernization is evident. 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 affect on expertise, as devoted workers might be required to offer upkeep and maintenance – a diminishing skillset as an increasing number of senior workers retire from the workforce. Down the road, this manifests as a substantial enterprise danger.
Modernizing the mainframe is not only about general agility, however securing a basis for vital technological transformation. In a latest 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. Nevertheless, AI transformation shouldn’t be attainable if an insurer has not dismantled and up to date mainframe platforms first.
Mainframe modernization outcomes
Modernizing the mainframe affords some compelling advantages. By operating in a cheaper surroundings, working prices are drastically lowered, and the usage of a extra fashionable platform dramatically reduces platform useful resource prices. Collectively, this can lead to a 40 p.c discount in working bills. Whereas this financial savings is critical, it’s not the one profit. Most significantly, mainframe modernization – by means of agility, flexibility and entry to vital mainframe information – has a strong affect on enterprise worth. As a latest Accenture weblog, Mainframes: The final frontier of cloud migration emphasizes, prospects are capable of leverage their mainframe information, which may comprise a long time of enterprise transactions, and use that information to feed analytics or machine studying initiatives that may ship aggressive benefit. The weblog submit additionally illustrates the vital position the modernization of the mainframe performs in closing the talents hole – it will probably counter the issue many corporations are going through as their mainframe consultants attain retirement age and can even appeal to new expertise thinking about modernizing core enterprise workloads.
Modernization additionally affords the flexibility 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 akin to the flexibility to include AI and ML, real-time decision-making and information processing effectivity are additionally unlocked. These advantages may be caused by conservative changes, or an entire system transformation. All of it relies on the strategic and development priorities of the insurance coverage enterprise.
New platforms and migration applied sciences enable for compressed transformations
Mainframe modernization shouldn’t 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 vast spectrum of decisions accessible to modernize at a tempo that’s snug and mandatory 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 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 differ 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 fashionable programming language code, utilizing (semi) automated tooling to mitigate danger referring to legacy expertise, improve agility and cut 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 completely with rewritten and rationalized functions
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 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 industrial and huge industrial. Nevertheless, there are three key steps that decide the course 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 attributable to operating on the mainframe?
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- Figuring out finances constraints
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- a. What’s the finances accessible at this time?
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- b. What’s the length accessible to comprehend 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 accessible?
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- c. Is there a variety of different change taking place?
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Following this course of leads to a novel mainframe modernization plan.
Accenture’s insurance coverage mainframe modernization methodology will assist you develop a journey aligned together with your objectives. Contact us to get began.
Gas the way forward for insurance coverage: Know-how modernization, akin to AI and cloud-fueled information analytics, helps insurers ship worthwhile development each by means of rising revenues and reducing prices.
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