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Choose the Best Approach for Your Cloud Native Applications

Submitted by kavitha.murugesan on

Our team of experts can help you zero in on a bespoke approach to your cloud native applications. We are vendor preferred due to our broad breadth of experience with cloud native solutions and capability to deliver transformation at scale regardless of the technologies involved. Our solutions encompass technologies including containerization, microservices, serverless computing, multi-tenancy, scalable storage, distributed caching, infrastructure as code (IaC), and cutting-edge DevOps practices.

Temenos R20 & Below: A Phased Approach to SCT Inst Readiness

Submitted by kavitha.murugesan on
  • Core Banking Upgrade by 2026: Lay the foundation for a future-proof payments system. 
  • Operational Procedures: Develop a plan to handle SCT Inst payments when core systems are unavailable (because even superheroes need backups!). 
  • Lightweight Payment Hub (6 Months): Implement a temporary solution for faster integration. 
  • Interfacing Application Upgrade (8-12 Months): Enable sending SCT Inst payments and stay ahead of the curve. 

Robotic Process Automation (RPA): Automating Data Extraction

Submitted by kavitha.murugesan on

RPA bots mimic human actions and interact with digital systems to retrieve information helping to: 

  • Reduce manual workload and operational costs. 
  • Enhance data accuracy and consistency. 
  • Enable 24/7 data extraction capabilities. 

By integrating intelligent capture with RPA, organizations can streamline their data extraction processes and achieve greater operational efficiency. 

Screen Scraping: Extracting Data from Legacy Systems

Submitted by kavitha.murugesan on

Screen scraping, also known as terminal scraping, involves extracting data from the screen output of legacy systems when direct database access is not possible. It helps to: 

  • Access data from older, non-integrated systems. 
  • Automate data entry processes. 
  • Improve data accuracy by reducing manual entry errors. 

While screen scraping may seem outdated, it remains a viable option for organizations with legacy infrastructure. 

Text Mining: Analyzing Unstructured Data

Submitted by kavitha.murugesan on

Text mining is a powerful technique for extracting insights from unstructured text data. It uses various natural language processing (NLP) methods to analyze and interpret large volumes of text. Key applications include: 

  • Sentiment analysis of customer reviews and feedback. 
  • Topic modeling to identify emerging trends. 
  • Named entity recognition for extracting specific information. 

By leveraging intelligent capture and text mining, organizations can transform raw text data into valuable business insights. 

APIs: Accessing Data Programmatically

Submitted by kavitha.murugesan on

APIs provide a standardized way to access data programmatically and to interact with external systems and retrieve data seamlessly. By using APIs, organizations can: 

  • Access real-time data from various sources. 
  • Integrate data into their applications effortlessly. 
  • Ensure data accuracy and consistency. 

APIs are indispensable for tasks like integrating weather data into mobile apps, accessing financial data for trading, or retrieving social media feeds for analysis.

Aspire’s Continuous Test Automation Solution Reduced 90% Testing Efforts for The Enterprise Application of a Leading American Oil & Energy player

Submitted by kavitha.murugesan on

This customer was having a tough time with the existing time-consuming manual testing and the lack of formal testing resulted in high defect leakage and low product quality. Aspire provided a cost-effective, robust, and reliable Test Automation Framework and implemented Continuous Testing in Azure pipeline. This helped them to achieve:  

1. Modernize Your Technology

Submitted by kavitha.murugesan on
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