Calix Inc.

11/22/2024 | News release | Distributed by Public on 11/22/2024 09:49

How Operationalizing Managed Services Delivers a Competitive Edge

To remain competitive in an evolving and improving broadband market, service providers must supply effective and scalable managed services while satisfying customers' needs and reducing costs. To do this, they must incorporate technology operationalization practices that demand efficient and careful planning, strategic management, and continual optimization,while simultaneously focusing on client acquisition, service delivery, and long-term value.

Importance of Customer Acquisition and Retention

Managed services are driven by customer acquisition costs, which involve significant investments in new subscribers. To stay profitable and grow managed services in a "platform as a service" model, service providers need to leverage a platform where they can introduce new services without disruption and deliver functionality to subscribers without costly re-acquisition and integration costs associated with a nonplatform-based approaches. This method boosts revenue through easier upselling and cross-selling, which promotes subscriber retention and lifetime value.

Deployment to Operationalization

Operationalizing a managed service makes new service deployment marketable, orderable, manageable, supportable, billable, and scalable for internal teams. Providers must prioritize:

  • Planning, procurement, and education: Ensure you have the appropriate installation and testing gear, premises systems, software, and trained personnel for a smooth implementation.
  • Automation tools and templates: These can reduce manual touchpoints, decrease errors, and lower costs. Artificial intelligence (AI) and machine learning (ML) enabled operational and customer support tools can accelerate new service rollout, time to market, and on-going support.
  • Operationalized service delivery: This ensures minimal intervention for management, monitoring, and support, leading to optimized margins and customer satisfaction. Integrating AI-driven operataional monitoring technologies to detect issues before they affect service quality and tools to provide intelligent recommendations and next best steps to CSRs and technicians help operations scale.