Overview
Create a sustainable digital transformation strategy for your enterprise that triages solutions based on customer needs, technology trends, rate of change and the potential for disruption or competitive edge that is enabled. Adapt to digital economies driven by API, microservices, scalability and harnessing the power of data and cognitive sciences to create an intelligent enterprise.
Digital Transformation Services
Application Reengineering (Digital)
Adapt applications to changing customer needs and market trends. Empower your applications to meet new operational requirements in a fast evolving digital environment.
- Microservices architecture to break free from monolithic applications that hold you back
- API first development as a strategy to increase speed to market, reduce cost to develop applications and ensure a good and consistent experience for consumers of such services
- Create, publish, maintain, monitor, and secure APIs at any scale with API gateways
Our approach factors consideration and design of infrastructure security from early stages of the engineering process. We help you with the right set of tools, engineering resources, and recommendations for effective risk management.
- Recommendation on the right choice of DevSecOps processes and tools
- Effective DevSecOps requires more than new tools. It builds on the cultural changes of DevOps to integrate the work of security teams sooner rather than later
Cloud Migration (Private, Public, Hybrid …)
To get the most out of moving to the cloud, understanding the nuances of customer needs and the readiness of corresponding applications is key. Migrate significant workloads to Azure, AWS or hybrid cloud environments. Benefit from substantial IT costs savings as well as improvements in productivity, business agility, and operational resilience.
- Application Migration Services
- Data Migration Services
Data Platform Engineering
Create differentiated business models and save costs with operational efficiency through data-driven decisions. Realize the power of data platforms engineered to process large data assets with a focus on data quality, security and governance. Our team of data professionals create, automate and orchestrate data pipelines using modern tools/architectures to deliver testable, maintainable, and modern data solutions
- Data modelling
- Relational and non-relational database design
- Information flow design
- Query execution and optimization
- Comparative analysis of data stores
- Logical operations design
AI/ML
AI and machine learning are proving to be a game-changer to many industries as varied as oil and gas, retail, e-commerce, health, manufacturing, banking, airlines and more. Deep consumer insights, personalized experiences, intelligent automation and building ‘smart’ into assets have unlocked many insights that historically would have been very difficult to obtain.
- Data mining
- Convert large amounts of dirty- and unstructured data into meaningful information
- Data science
- Find patterns in data and extract relevant insights by using statistical methods
- Data collection
- Data processing
- Predictive modelling using M/L algorithms
- Deployment
- Find patterns in data and extract relevant insights by using statistical methods
- Machine Learning (M/L)
- Create self-learning algorithms to minimize errors and maximize accuracy over time
- ML powered systems analyze data and learning new things, resulting in fast and reliable insights, without the need for human intervention
- Artificial Intelligence
- Build intelligent systems that replicate human tasks with our expertise in applied AI and software development
Digital Transformation, the ivoyant way
Our engagements are anchored on the principle of sustainable value realisation and focus on outcomes over effort. This is achieved through iterative delivery cycles with a focus on generating incremental value.
Agile processes and tools
Focus on outcomes over effort
Engagements result in real transformations
Increased productivity and performance
Diverse technology expertise