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 satisfy the calls for of buyer expectations and fast digital progress.
The decision for mainframe modernization
Insurers wish 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 take 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 larger inflationary surroundings bills for insurance coverage operations and rising claims, to the impression 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 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 must give attention to advertising and marketing 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 attainable as a result of loads of that logic is embedded within the mainframe. Due to this fact, 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 a view 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 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 impression on expertise, as devoted employees will likely be required to supply 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 isn’t just 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.
Mainframe modernization outcomes
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 knowledge, which might include 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 essential position the modernization of the mainframe performs in closing the abilities hole – it may well counter the issue many corporations are dealing with as their mainframe specialists attain retirement age and can even entice new expertise interested by modernizing core enterprise workloads.
Modernization additionally presents the power to deploy new options, merchandise and capabilities a lot faster and at the side of interoperable purposes, guarantees as much as 5 occasions deployment speeds. New enterprise capabilities similar to the power to include AI and ML, real-time decision-making and knowledge processing effectivity are additionally unlocked. These advantages may be caused by conservative changes, or an entire 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 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 extensive spectrum of selections out there to modernize at a tempo that’s comfy and vital for the insurer. Right this moment’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.
When it comes to approaches, insurers can roll out the next interventions, which all range 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 fashionable programming language code, utilizing (semi) automated tooling to mitigate danger regarding legacy abilities, improve agility and cut back prices
- Exchange: Figuring out a managed service/utility 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 completely 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 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. Nevertheless, there are three key steps that decide the route of each mainframe modernization journey:
- Defining enterprise priorities
- a. What are the very best priorities for the enterprise?
- b. How do these align to the important thing issues attributable to working on the mainframe?
- Figuring out finances constraints
- a. What’s the finances out there at present?
- b. What’s the period out there to appreciate ROI?
- Figuring out capability for transformation
- a. What’s the IT group’s capability for transformation?
- b. Are there assets out there?
- c. Is there loads of different change occurring?
Following this course of leads to a singular mainframe modernization plan.
Accenture’s insurance coverage mainframe modernization methodology will assist you develop a journey aligned together with your targets. Contact us to get began.
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