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Past Webinars

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NexusAI: From Tickets to Outcomesarrow-icon

Learn about Mastech’s value-driven differentiation and how we accelerate your AI outcomes.

    Who we are

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    Discover how the Mastech ecosystem is enabling customers to make well-informed decisions faster than ever and how we stand apart in the industry.

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    Delve into our wealth of insights, research, and expertise across various resources, and uncover our unique perspectives.

    On-demand Webinars

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    Customer Service Modernization Utilizing AI Assistantsarrow

    Thrive in a supportive and inclusive work environment, explore diverse career options, grow your skills, and be a part of our mission to excellence.

    Improved-Business-Experience-with-an-End-to-end-Customer-Self-service-Ecosystem

    Improved Business Experience with an End-to-end Customer Self-service Ecosystem

    Highlights

    24x5 coverage with weekend support provided for all client geographies

    15% QoQ reduction in incidents by addressing long-standing issues

    Enhanced capacity of L3 support by reducing the time spent on L1/L2 support

    Overview

    We partnered with a leading medical device manufacturer to enhance their business experience with data modernization and an improved customer service ecosystem. We optimized their customer service through a comprehensive managed services program, implemented efficient DataOps practices, and enhanced data quality management. We expanded the platform's capabilities by prioritising critical business backlogs, enabling the organization to drive growth and deliver superior customer service

    Client

    A leading medical device manufacturer

    Geography

    Americas, EMEA, & APAC

    Industry

    Healthcare

    Tech Stack

    Oracle B2C Service CRM, Reltio MDM , Smarteeva, GCP, dbt, Snowflake, Confluent Cloud (Kafka)

    Tags: Data Engineering Data in Motion

    The Challenges

    • The client wanted an effective DataOps framework for their newly deployed data fabric.

    • They also wanted data modernization to efficiently manage a globally distributed data platform on a modern data stack.

    • To meet the growing global demand, the client wanted to ensure scalability and maintenance of the customer service platform.