EndorsedendorsedOngoing

End-to-End Data Pipeline & Analytics for Big Run Studios

Services Covered:

Big Data Analytics and Business Intelligence
Project hero — replace with case study imagery
Industry
Industry

Gaming

Duration
Duration

65 months

Budget
Budget

50K - 199K

Client Size
Start Date

1 March 2021

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
71/100
Good

Project Capability Score (PCS) estimates how capable Azumo is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Big Run Studios

mapOakland, United States of America

Project Summary

Big Run Studios engaged Azumo to develop a data strategy and build an end-to-end analytics pipeline, including a data lake, warehouse, reporting, and alerting layers. Azumo stood up an S3 data lake, a Snowflake warehouse, and Sisense reporting, and integrated Adjust campaign data to support user acquisition decisions. The engagement produced near-real-time reporting for live games and improved the company's ability to make ad spend and development decisions, with workflow friction later mitigated by adding a part-time Azumo project manager.

Key Challenges

  • Transition the company from a developer to a developer-and-publisher model requiring self-published analytics
  • Build a full data strategy and architecture, selecting appropriate technologies and prioritizing short-term vs proof-of-concept work

Project Deliverables

  • Data lake on S3
  • Data warehouse on Snowflake
  • Reporting dashboards on Sisense
  • Integration of campaign data from Adjust
  • End-to-end data pipeline with reporting and alerting layers

Project Solution

Azumo provided data strategy and built an MVP, then implemented an end-to-end data pipeline. They stood up a data lake on S3, created a warehouse layer on Snowflake, and implemented reporting on Sisense; they later integrated campaign data from Adjust. The team scaled staffing (data engineers, data architect) and added a part-time project manager to prioritize requests and smooth workflow.

Project Outcome

  • Comprehensive near-real-time reporting on many live games
  • Enabled informed decisions about ad spend and development focus
  • Workflow issues caused by scaling were resolved after onboarding a part-time Azumo project manager

Platforms

  • CloudCloud
  • SaaSSaaS

Tech Stack

  • S3S3
  • Snowflake Data CloudSnowflake Data Cloud
  • FirebaseFirebase

Client Endorsement

Overall Review Rating

4.63star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The partnership with Azumo generates insightful data that would greatly aid in decision-making. The company's progress is now easier to track, thanks to the near-real-time reporting on most live games. Overall, the project's workflow is smooth, and issues are immediately resolved.

Anonymous

CTO

Note: This endorsement is based on publicly available client feedback from external review sources.

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