PROVEN
RESULTS:
CASE STUDIES
CLIENT STORIES
FORTUNE 100 RETAILER
Looker-backed application development framework for the single largest retailer by revenue in the world.
Use Case
Internal analytics application, designed to give Merchants/Buyers the ability to make data-driven business decisions.
Our solution
Our Looker-backed SDK allows front-end engineers to publish new insights in the space of a day. In addition, a custom “explore”-like interface allows for ad-hoc data exploration to the application, further democratizing analytic insights.
Outcome
10x acceleration of “time-to-market” for new analytic insights.
Tech Ecosystem
Before Thoughtspot, fed by a cumbersome and time-consuming data engineering processes.
Now Looker insights delivered via custom application development SDK.
FORTUNE 100 MEDIA GROUP
Automated performance marketing tool drives game app installs and increases ROI on advertising spend.
Use Case
Allow User Acquisition Managers to fine-tune bids for advertising campaign placements on multiple networks using analytics and automation-supported workflows.
Our solution
4 Mile built a custom application that shows the performance of advertising campaigns backed by Looker and advertising network APIs. It enables User Acquisition managers to configure business rules that evaluate a campaign’s performance and recommended actions. UA managers can easily and quickly adjust bids based on analytics and machine-assisted recommendations.
Outcome
Automated analysis and decision-supported drives increasing rate of intraday bid adjustments and continual ROI gains.
Tech Ecosystem
A custom application built using AngularJS and Python web-services, integrating Looker and advertising network APIs, deployed on AWS.
LEADING HEALTH AND WELLNESS SERVICE
Full-Stack Data Analytics Infrastructure Reboot for the world’s largest online mental healthcare counseling platform.
Use Case
All departments rely on Looker to make data-driven decisions, including: Advertising Spending, Counselor Performance, Platform Utilization, AB Testing, Support Performance, Product Insights, and Predictive Analytics Models. Looker’s robust modeling layer and a dependable analytical stack are essential for such data reliance.
Our solution
New Analytics Infrastructure and DataOps Introduced and led Proof of Concept and migration to Snowflake and Keboola to support complex analytical queries, data integrity checks and the need for robust and user-friendly data platforms
Unified LookML Business Data Model Restructured LookML model based on organization’s business data model to create a cohesive data story and clear sources of truth
Long-Term Data Strategy Worked directly with analysts and stakeholders to build a long-term data strategy based on anticipated future growth and analytics maturity goals
Outcome
Looker coupled with Snowflake and Keboola democratized data sources and KPIs to change how answers are found - from hunches and analyst requests to self-service data discovery.
Integration of new complex datasets, significant increase in Looker usage, average 55% query performance improvement, decrease in ad-hoc analytics team requests, implementation of predictive analytics with Python and R to visualize with Looker
Tech Ecosystem
Before Data sources were out of reach, queries often ran longer than five minutes and business users did not trust the data infrastructure or Looker as a source of truth.
Now A robust analytics stack built around Snowflake and Keboola drives self-service analytics and decision-making for all departments, fueling analytical maturity.
FORTUNE 100 TECHNOLOGY SERVICES COMPANY
Driving Architecture and Adoption.
Use Case
The team is responsible for serving analytics around the company’s portfolio of software services and products. Looker is being used as a governance layer to drive Customer Experience decision-making.
Our solution
Data Model - tight governance is essential to enabling different teams to report their success and findings to their business decision makers.
4 Mile embedded with the team and refactored the data model, documented new practices, and trained Looker users to use and develop the Looker platform.
Outcome
2k+ new users: Looker adoption is at an all-time high. New teams have taken trainings and contributing to both the data models and directory of reports.
Scalable Architecture: A Hub and Spoke design pattern now allows one central team to propagate metric definitions to different teams, while still allowing those teams to perform bespoke calculations and create custom definitions
PBL: Looker’s ability to embed reports and surface governed data via the API has allowed Looker’s presence to expand into other technology platforms.
Tech Ecosystem
Looker, backed by BigQuery and Snowflake, is enabling a data driven culture.
