We extracted and generated all new insights to understand customers, enabled modern marketing efforts, and guided our client’s business strategies. Headstorm enabled churn prevention and scheduling optimization use-cases within 90 days.
FITNESS
An international fitness brand with over 1,000 locations wanted to transform how they acquired, retained and served their customer base with their operational, marketing and performance data (CRM, wearables, POS systems, mobile app, and custom hardware).
We extracted and generated all new insights to understand customers, enabled modern marketing efforts, and guided our client’s business strategies. Headstorm enabled churn prevention and scheduling optimization use-cases within 90 days.
Single canonical data model provided new analyses & modeling to finally understand their customers' E2E journey.
Adjusted development as needed to consistently deliver minor and major features bi-weekly and monthly.
Revealed key info about the customer journey, with an AI-based “lever catalog” that automatically integrated with Adobe Marketing Cloud for customer engagement.
Secure, scalable, and stable patterns, processes, and templates deployed and syndicated as best practice throughout the organization.
The organization lacked the ability to accurately predict cloud storage costs and a robust predictable FinOps model. As a result, the organization incurred over 100k in unanticipated cloud storage spend, leading to financial inefficiencies. Additionally, data access was hindered due to tiering, resulting in delays and reduced productivity.
Unlocking deep customer/marketing insights with data science & AI, update A.I. to be AI
Within days, a full AWS environment was ready to stage the Client’s data into a new data lake. We built the data lake in AWS S3, ingesting data from API’s, DynamoDB, Redshift, RDS, file-based formats, device streaming data, and other sources.
Our data scientists needed an operation base to build their models, so we designed and built a Canonical Data Model (Domain Model) on top of source data to unify and simplify business data from previously unconnected systems.
We created a best-of-breed Data Science Workbench to easily explore the Data Lake (Athena), train models in a distributed manner (EMR and Jupyter) and deploy models (Apache Airflow).
We enabled API integration to-and-from Adobe Marketing Cloud in order to get historical marketing info and allow the automated pushing of targeted customer lists back to the Adobe platform.
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Addison, TX 75001
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Engineering Growth™
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