Amdocs Data Intelligence Solutions
yayıncı: Amdocs
Transform data infrastructure into a scalable system on the cloud to improve network performance
Whether you're planning a major modernization or spearheading a business unit-led project, our end-to-end framework ensures that your data journey is successful.
Transform your data infrastructure into a modern and scalable system on the cloud. Our Logical Data Model simplifies complex data structures and terminology, providing a business-ready data framework. With our support, you can implement end-to-end AI and analytics use cases to bolster your business KPIs.
Explore how we can join forces to define your customer journeys and experiences, and manage day-to-day operations to ensure data quality, cost control, and performance.
Data Architecture and Modeling:
• Development of a scalable and modernized data infrastructure that leverages cloud processing power & tools
• Amdocs Logical Data Model (aLDM) supports both reporting and ETL loads and captures the complex Telco customer hierarchy as well as the rich customer profile attributes associated with it.
Data Migration:
• Provide resources to migrate, merge and unify data & analytics platforms into a modernized environment using unique IP tooling & best practices
• Organize data with best practice programs, governance & acceleration tooling
• Handle data privacy and compliance; develop consistent data governance policies
Data Analytics and ML:
• Implement AI and analytics use cases for obtaining business KPIs;
• Streamline process of deploying machine learning models to production, maintaining and monitoring them
• Deploy AI pipelines and manage end-to-end processes with MLOps best practices
Data-led Business Consultancy:
• Help customers define use case & processes that leverage data capabilities to achieve business goals
• Manage e2e customer journeys and campaigns: strategize, design, implement, monitor and optimize
Data Operation and Quality:
• Manage day-to-day data platform operations, including verifying data quality, cost control & data performance
• Ongoing improvement of processes with emphasis on Data & AI Governance, Data Privacy & Compliance, precise data engineering, SLA & monitoring.