Application Management
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Overview
In the wake of the pandemic, large companies are undergoing rapid and extensive transformations, a phenomenon known as “compressed transformation.” This trend is significantly increasing the complexity of their application landscapes. SPR can assist these companies in navigating this heightened complexity through Value-led Application Management across hybrid and multi-cloud environments. This approach involves a strategic shift from traditional cost optimization and industrialization towards creating value, reimagining customer experiences, and driving large-scale technological innovation.
SPR provides the best Application Modernization Services. With this, market leaders can achieve comprehensive enhancements in business resilience and accelerate time to market. This can be accomplished by unlocking agility and boosting innovation through DevOps, scaled agile methodologies, and hyper-automation. Additionally, transforming to a holistic measurement of business outcomes ensures superior business service assurance and experience.
Key Offerings
- Application & technical architecture advisory
- Application discovery, assessment & planning
- Agile/Dev(Sec)Ops transformation
- Modernization & Consolidation Roadmaps
- Low Code / No Code Applications
- Harvest business rules
- Prune dead code and dead functionality
- Legacy Migration Services
- Migration Tool Configurations
- Application Support Services
- Infrastructure Support Services
- Performance Monitoring
Intelligent automation as a service (IAaaS) accentuates our intelligent automation capabilities as a cloud-based service. It combines artificial intelligence (AI) technologies such as machine learning, natural language processing, computer vision, and robotics process automation (RPA) to automate various business processes intelligently.
- Cloud-Based Infrastructure: IAaaS is hosted on cloud platforms, enabling easy scalability, accessibility, and flexibility. Users can access the automation capabilities remotely via the internet.
- Integration of AI Technologies: IAaaS integrates various AI technologies to perform tasks that traditionally require human intervention. These may include data extraction, analysis, decision-making, and process optimization.
- Robotics Process Automation (RPA): RPA is a core component of IAaaS, allowing software robots to mimic human actions to automate repetitive tasks across different applications.
- Machine Learning and Natural Language Processing (NLP): IAaaS leverages machine learning algorithms and NLP techniques to understand and process unstructured data such as text and speech, enabling more sophisticated automation and decision-making.
- Cognitive Automation: IAaaS solutions can perform cognitive tasks such as pattern recognition, anomaly detection, sentiment analysis, and predictive analytics to make intelligent decisions autonomously.
- Workflow Orchestration: IAaaS platforms provide tools for designing, deploying, and managing automated workflows. Users can define the sequence of tasks, conditions, and triggers for automation processes.
- Analytics and Insights: IAaaS offers analytics capabilities to monitor the performance of automated processes, identify bottlenecks, and provide insights for continuous improvement.
- Security and Compliance: IAaaS providers implement security measures to protect sensitive data and ensure compliance with regulations such as GDPR, HIPAA, and PCI DSS.
- Customization and Integration: IAaaS solutions can be customized to fit specific business requirements and integrated with existing systems and applications through APIs and connectors.
- Cost-Efficiency and Scalability: By leveraging cloud infrastructure, IAaaS offers cost-effective pricing models and the ability to scale automation capabilities up or down based on demand.
Value Management as a Service (AVMaaS) is a model that provides organizations with comprehensive support and management of their software applications throughout their lifecycle, delivered as a service. This approach helps businesses maximize the value derived from their applications, optimize costs, and ensure continuous improvement. Here are key aspects of AVMaaS
- Lifecycle Management: AVMaaS covers the entire application lifecycle, from planning and development to deployment, operation, and maintenance. It includes activities such as requirements gathering, design, coding, testing, deployment, monitoring, and updates.
- Value Maximization: The primary goal of AVMaaS is to maximize the value derived from applications. This involves aligning applications with business objectives, identifying opportunities for improvement, and implementing strategies to enhance their effectiveness and efficiency.
- Continuous Improvement: AVMaaS emphasizes continuous improvement through ongoing monitoring, analysis, and optimization of applications. It involves identifying areas for enhancement, addressing performance issues, and implementing updates to keep applications relevant and competitive.
- Service Level Agreements (SLAs): AVMaaS providers typically offer service level agreements that define performance metrics, response times, and other parameters to ensure service quality and accountability.
