Player Analytics

Player Analytics
Player Analytics

RELATE — CALL OF DUTY: WARZONE

Player Analytics
Client:
Activision
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Domain:
Relate, Make, Evolve

A nearshore data analytics model built to expand and contract without sudden movement in the partner's budget.

Concept

Warzone is the second main battle royale installment in the Call of Duty franchise, following the Blackout mode of Call of Duty: Black Ops 4.

Requirement

The partner needed to increase their data engineering and visualization bandwidth. They also needed the ability to expand and contract that capability organically, without sudden movement in their budget model. The overall goal was better quality and efficiency in player analytics data.

Approach

Delivery provided out of Guadalajara, MX established a nearshore model with proven data analytics and gaming expertise. Greater schedule overlap made for stronger day-to-day collaboration.

Training and development initiatives ran alongside the work, upskilling and certifying team members in the partner technologies that mattered.

Delivery scope

  • Hybrid data lakes across AWS and GCP
  • Player analytics and visualization
  • Python
  • Databricks
  • RedShift
  • Snowflake
  • Jira
  • Tableau

Results

  • Monetization 128%
  • Data loss reduction 60%
  • Processing output 198%
  • Time to kickoff under 2 weeks
  • Time to produce under 2 weeks
  • Budget variance −8%

Processing output 198%. Data loss down 60%.

Wireframe cubes nested inside a larger open cube, drawn in indigo and periwinkle line work.Wireframe planes stacked in ascending steps above a dense lattice.An open wireframe cube crossed by diagonal lines converging at its corners.

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RELATE — CALL OF DUTY: WARZONE
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