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Customer Service Performance Analytics

Analytics pipelines and Tableau dashboards to improve customer service performance monitoring.

Application sectors

  • Telecommunications
  • Customer Service
  • Performance Management

Technologies

  • Dataiku
  • Python
  • PySpark
  • SQL
  • Tableau
Customer service and operations team collaborating

Business issue

Why I was brought into the project

Customer service management needed stronger analytics and monitoring to improve operational efficiency and oversee global activities.

Context

The environment around the project

Customer service teams needed better visibility on performance and operational activity.

Functional environment

The functional context focused on customer service performance, operational monitoring and management reporting.

Technical environment

The technical environment combined Dataiku, Python, PySpark, SQL on Teradata, Informatica, ODI, Tableau and Salesforce.

Challenges

The work required combining strategic analyses, ETL pipelines, Tableau dashboards and data governance tooling across several environments.

Solution

My contribution and its impact

My contribution to the project

I conducted strategic analyses, built dashboards, developed ETL pipelines, designed data governance tools and supported team delivery.

  • Customer service performance dashboards
  • Strategic data analyses
  • ETL pipelines across multiple environments
  • Data governance support tools

Impact

The projects improved visibility on customer service operations and gave management better tools to detect improvement opportunities.

  • Improved monitoring of global customer service activities
  • Better identification of operational improvement areas
  • Stronger analytics delivery practices within the team

Impact metrics

  • Performance dashboards
  • Strategic analyses
  • ETL pipelines

Approach

How I structured the work

  1. Analyze large customer service datasets to identify improvement opportunities.
  2. Build ETL pipelines and Tableau dashboards for monitoring.
  3. Support governance tooling and mentor team members on delivery practices.

Takeaways

What I learned from this project

  1. Operational analytics must be close to management routines to create impact.
  2. Dashboards are stronger when backed by reliable ETL and governance foundations.
  3. Leading delivery requires balancing technical work, mentoring and stakeholder communication.