Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Modernizing legacy systems
Similar to Modernizing legacy systems (20)
Recently uploaded
Recently uploaded (20)
Modernizing legacy systems
- 2. Agenda What’s In It for Me ? MindMap Insurance Business Rules Auto Insurance Business Processes Legacy Transformation Rules Extraction Process Unstructured Data Customer Insights
- 3. Insur er Docto r Staff Phar macy Busin ess Analy st Devel oper Can I create new insurance policies for customers without change in code ? Can the medical payments/clai ms be settled in a fast way with good quality? Can I create applications on the no code platform after extraction of business rules From main frame ? Can I have payment settlements or claims happen in Can I have invoices processed in time? Can I deploy and upgrade my application on fly with no code platform? What’s in it for me ?
- 4. Digital Transformation Mind map No Code Platforms Low Code Platforms Market Requirements Health Insurance Payment Processing AI Insurance Health Care Telehealth Digital health Data Sources Knowledge Resources Budget In House Applications Domain Knowledge Application Upgrades & Updates Training Metadata Customizations Licensing & Subscription Life insurance Home Insurance Auto Insurance Travel Insurance Tech Stack Wellness Apps Hospital Management Application Scope Neural Sketch Learning Legacy Systems & Migration DevOps AI/ML
- 5. Who is using Mainframes These days?
- 6. Mainframes at the heart of IT 92% 8% Mainframes . 67 of Fortune 100 enterprises are using Mainframes
- 7. Mainframe Modernization Areas Code Interfaces Performance Maintainability Cost
- 8. Mainframe Modernization Challenges Financial Risk People Risk Business Risk
- 9. Mainframe Modernization : Technologies Cloud DevOps Digital
- 10. It looks very abstract. Can you give an example?
- 13. I thought you were talking About Mainframe Modernization. What does Insurance Processes got to do with Mainframes ?
- 15. Extraction Process • Conduct Interviews • Analyze The Documentation Business Analysis • System Decomposed to small Modules • Modules decomposed to Components Decomposition • Blend the code analysis with documentation • Correlate the components from decomposition exercise Code Analysis
- 16. As-Is Analysis Core Syste m Core System Context Premier Vantage 12 EUC RCDS VRU Check Free Triton ING Access VRR Proxy Mailings DSS 14 Premier Context Admin/DSS Peripherals Commissions/ Sales Customer Service Reserves Money Processing Financial Processing Management Reporting Customer Reporting Premier Peripherals 11/11/2005 PREMIER_CONTEXT_DIAGRAM_DRAFT_MN_111105.VSD PAIS EDS 3121 Partial Srrndr Tax DISC/IRS AFS Loan Rpmnt Actuary feeds DMC ABC EFT Intrnal Exchange Premier OMNI Plus AFTS Image file JD Benefits Mailing Extracts Moore Minot Regulatory OFAC Peoplesoft Ledger Pricing Extract Stuart Extracts A = Alternate Source A A A 26 First Line Peripherals Info being validated Syste ms System Context
- 17. Modernization Strategy Modernization Candidate Analysis Software Packages Common Factors • Cost / Benefit Analysis • Risks to Business • Extent of impact • - Technology • - Operational • Implementation Timeline • Critical Resource Availability Functionality / System Factors • Necessity of functionality • Cost of operations • Degree of fit with the future state • Suitability of deployment • Technical maturity • - Stability, Performance • Functional / Technical Extension Dependency Structure Matrix (DSM) To understand and prioritize future state definition Automation scripts To review and report on application interconnections
- 18. Modernization Approach To - Be Process As - Is Process
- 19. Modernization Opportunity Analysis • Core systems 17% of the total 181 areas can be modernized • Interfaces 31% of the total 188 interfaces can be modernized • DSS Decoupling DSS from its admin engine will considerably reduce regression cycles needed for testing modifications Consolidation Opportunities • Common Capabilities Significant opportunities exist to standardize Business processes • Leveraging Centralized DC Data Significant portion of operational and analytical reporting could be utilized • Archival 44% of policies on ACME and 32% on RES are eligible for archiving and are currently not archived 21% of the total policies are in Waiting status of which 77% of them are older than one year and may be eligible for deletion • Mainframe CPU 26% of the total Mainframe CPU charges are used for testing of which 65% can be moved out to a mid-tier environment • Redundant Storage and Processing ACME and RES approach for calculating balances used in Statements, etc., are not optimized for storage and processing costs Optimization Opportunities Standardization Opportunities • It is technically feasible to modernize ACME and RES onto a single platform • VFS platform supports technology direction for Digital Delivery, Common Capabilities, and DevOps Platform Opportunities
- 20. Modernization Benefits • Leverage platform capabilities to quickly add, modify, and clone products • Offer user interface screens for business to develop and test product and regulatory calculations • Maintain a predictable, controllable and consistent software • Leverage table-driven capability to easily define and customize meaningful values for fields on platform screens Time to Market Total Cost of Ownership Efficiency Technology • Offer non-financial transaction information immediately to customers • Eliminate location dependency Expect significant gains from productivity enhancement tools on the mid- tier environment • Increase usability and accessibility • Offer integration opportunities for all applications and Common Capabilities • Integrate with standard capabilities for Security, Business Activity tracking, and Systems Management • Achieve data interfacing through Enterprise Information Platform. • Expect efficiency gains from platform • Use open standards Process Steps • Upgrade to New platform • Merge ACME and RES onto a single system • Leverage mid-tier for development and testing • Implement archival strategy • Consolidate system and Interfaces • Utilize the new platform features • Reduce analysis, development, and testing costs by investing in mid-tier environment • Optimize resource usage by implementing an archival strategy • Decrease risk and support costs by consolidating redundant applications and interfaces • Leverage the ability to implement an easier, cost-effective rate maintenance solution
- 21. Unstructured Data Customer • geospatial information • location data • traffic patterns • weather events • health records • historical profile data • aerial and satellite images Processes • underwriting • claims adjustment • claims survey • social media interaction • third-party witness
- 22. Customer Insights • Risk Profile • New Exposures • Pricing Strategies • Underwriting decisions • Loss prevention Strategies • Merit Rating Metrics • Age • Address • Call logs • Online history • Location data Profile • Speeds • Acceleration • Hard Braking • Weather patterns • Traffic Patterns • Pathway Hazards • Routes • Risks Performance
- 24. Underwriting Engine Testing Auto Health Property & casualty Commercial Life Travel Business Processes Business Rules Business Policies Compliance Rules Policy creation Scenarios Quote Process Claims Process Customer Onboarding
- 25. AI Based Testing – Underwriting Engine Test Data Creation • Legacy Rules • Customer Profiles • Customer Interests Simulation • Random Profile Selection • Check for Failure Scenarios
- 26. I understand finding the failed scenarios. Why Insurance Processes ?
- 27. I understand finding the failed Test cases. How do I fix these scenarios?
- 28. Explainable AI XAI Explain To Justify Explain to Discover Explain to Improve Explain to Justify What was the data used for executing the failed Test ? What were the features used for test execution ? What were the rules used for validating the data ? Which rules failed for the test ? How do I fix the validation failures in the data ?
- 29. Simulator based Testing Dev QA UAT Staging Production
- 34. Digital Platform – 3 Pillars Digital Transformation Customer Experience Operational Processes Business Models
- 35. Digital Capabilities Customer Experience • Multi Channel Care • Customer Trust Development • Improving Customer Journeys • Transactional Brand Awareness • Customer Understanding • Top line growth Operational Processes • Process Digitization • Worker Enablement • Performance Management • Process Automation • Process Digitization • Worker Enablement • Performance Management • Cyber Security • Enterprise Social Networks Business Models • Digital Business • Digital Globalization • Disruption and Innovation • Business Composition • New Business Models • Subscription model • Freemium Model • Free Model • Market Place Model • On demand Model
- 37. Digital Maturity Model Beginner Fashionista Conservative Digerati • Operational changes • No business benefits • No Governance • Corporate Culture • Great Vision • Good Governance • Business Value Driven • Business Benefits Focus • Digital Culture Encouraged • Competitive edge over their competitors
- 38. Challenges – Digital Transformation Business Model • Multiple Interchangeable parts are created in the ecosystem • Co-opetition happens as new entry increases • Empowerment of other ecosystem players is needed • Composable business models are created by service economy Technology • Automated Agents of change are created • Role of People is fulfilled by technology
- 39. Digitization – Verticals Differences Finance • Self Service • Customer Interaction Insurance • Policy Administration • Underwriting • Pricing • Claims Processing HealthCare • Patient Real time monitoring • Personalized Experiences • Healthcare electronic records Pharma • Quality Control Telecom • Robust Consumer analytics • Digitization of order management • Self-service CRM • Simplified IT interfaces • Business Automation
- 40. Digitization vs Digital Transformation • Conversion of information from Physical to Digital • Creates business value (needs data) Digitization • Transformation of Business processes • Change in Business Models Digital Transformation
- 41. Mind map - DevOps No Code Platforms Low Code Platforms Market Requirements Health Insurance Payment Processing AI Digital health Data Sources Knowledge Resources Legacy Systems & Migration Budget In House Applications Health Care Application Upgrades & Update Training Metadata Customizations Licensing & Subscription Life insurance Tech Stack Wellness Apps Hospital Management Application Scope Neural Sketch Learning AI/ML Devops Containers Cloud CI/CD Version Control Testing GIT IDE Automation Virtualization Network Monitoring System Admin
- 42. Bug Tracking Systems Monitoring Systems Configuration Management OS Patching CI/CD Pipelines Containers Source Code Control Systems Collaboration Infrastructure Foundational Tools & Infrastructure
- 43. DevOps Evolution - Metrics Metric Value Deployment Frequency Monthly Lead Time Between a week and 6months MTTR Less than a week Change Failure Rate Less than 15% Low Mid High Metric Value Deployment Frequency Between Daily and Weekly Lead Time Less than a week MTTR Less than a day Change Failure Rate Less than 15% Metric Value Deployment Frequency On Demand Lead Time Less than an hour MTTR Less than an hour Change Failure Rate Less than 5%
- 44. DevOps Evolution - Challenges • Resistance to Change • Legacy Architecture • Shortage of Skills • Lack of Automation • Unclear Objectives Low • Resistance to Change • Legacy Architecture • Shortage of Skills • Lack of Automation Mid • Legacy Architecture • Shortage of Skills High
- 45. Flow of Change Business Domain Business Domain Stream Aligned Team Stream Aligned Team Enabling Team Platform Team Complex Subsystem Team Flow of Change Collaboration X as a Service Facilitating
- 46. What’s in your RoadMap ?? MultiLingual Speech Learning- Knowledge Assistant Connected Systems Dynamic Program Creation AI Coder No Code Automation Platform Next Gen AI Platform Automated Content Generation Natural Language Generation Few Shot Learning XAI(Explainable AI) AI & IOT Convergence
- 47. Thank You