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 precious core technological operate, many legacy mainframes lack the agility to fulfill 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 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 referred to 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 surroundings bills for insurance coverage operations and growing claims, to the influence of the worldwide pandemic and predicted recession. With a high-interest price surroundings and future predicted volatility, prices want to return down, and one of many prices that’s growing 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 give attention to 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 presently not potential as a result of loads 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 – which means that the sector requires reimagined operations from the bottom up with the intention 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 associated 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 more senior workers retire from the workforce. Down the road, this manifests as a substantial enterprise threat.

Modernizing the mainframe isn’t just 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 trade analysis that AI has emerged because the transformative expertise and important differentiator within the insurance coverage trade when utilized in tandem with people. Nonetheless, AI transformation is just not potential if an insurer has not dismantled and up to date mainframe platforms first.

Modernizing the mainframe gives some compelling advantages. By working in a cheaper surroundings, working prices are drastically lowered, and using a extra trendy platform dramatically reduces platform useful resource prices. Collectively, this can lead to a 40 % 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 important mainframe information – has a strong influence 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 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 submit additionally illustrates the essential function the modernization of the mainframe performs in closing the abilities hole – it may possibly counter the issue many corporations are going through as their mainframe specialists attain retirement age and may appeal to new expertise desirous about modernizing core enterprise workloads.

Modernization additionally gives 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 equivalent to the flexibility to include AI and ML, real-time decision-making and information processing effectivity are additionally unlocked. These advantages could 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 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 vast spectrum of selections accessible to modernize at a tempo that’s comfy and crucial for the insurer. At the moment’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.

When it comes to 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 remodel from legacy to trendy programming language code, utilizing (semi) automated tooling to mitigate threat referring to legacy abilities, 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 fully 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 focuses on life and annuities, group and well being, retirement, private traces/small business and huge business. Nonetheless, there are three key steps that decide the path of each mainframe modernization journey:

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

2. Figuring out finances constraints
   1. a. What’s the finances accessible at present?
   2. b. What’s the length accessible to comprehend ROI?

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

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

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

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

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