Customer Lifetime Value Analytics Engine

Customer Lifetime Value Analytics Engine Using Databricks on AWS

A case study on how we automated customer lifetime value analysis and reduced delivery time from months to weeks for a financial analytics firm.

Client Background

Ambition Data is a financial analytics company focused on helping businesses understand customer behavior and growth. Their work is centered around Customer Lifetime Value (CLV), which helps companies understand how much value each customer brings over time.

The company works with data from multiple sources, including:

E-commerce platforms
Transaction systems
Customer databases

Their clients rely on them to deliver accurate insights that drive marketing, retention, and growth strategies.

The project was sponsored and coordinated by the Managing Director of Customer Growth, Allison Hartsoe, who is a recognized expert in the field of customer analytics.

To deliver value to their clients, Ambition Data needed a system that could process large volumes of transaction data and generate reliable CLV insights quickly.

The Problem: Manual Processes Slowing Growth and Increasing Risk

Before working with Tenplus, the entire CLV analysis process was manual and time-consuming.

The team relied heavily on Excel-based workflows, which created several challenges:

Data cleaning and preparation took days for each client
High risk of human error in calculations
No clear data lineage or history of how results were generated
Repeated work for every new client
Limited scalability due to manual effort
Slow delivery timelines, often taking months

The lack of automation made it difficult to scale operations and maintain consistency across projects.

Ambition Data needed:

A fully automated data pipeline
A centralized system for managing and processing data
Reliable data lineage and governance
Faster turnaround time for client delivery
A scalable platform to support growth

Solution Overview

Tenplus designed and built a complete end-to-end data platform using Databricks on AWS. The goal was to automate the entire CLV analysis process, from data ingestion to final reporting.

The solution focused on creating a structured and scalable system that reduces manual work and improves accuracy.

The core technology stack used in the project included:

Databricks for data processing, machine learning, and analytics
AWS for cloud infrastructure
Apache Airflow for orchestration
Automated data pipelines for ingestion and transformation
Built-in BI dashboards within Databricks for reporting

This architecture allowed Ambition Data to move from manual workflows to a fully automated system.

Data Analysts

Our in-house data analysts have a hands-on approach to data.

Companies analyzed

Last year, we were able to help nearly 50 companies.

Process

Data designers

Our designers have an extensive background in data analysis.

Visualizations made

From presentations to marketing materials and beyond.

Ongoing projects

Data changes, but our team stands by your side when you need us.

Results

With Tenplus, Ambition Data achieved:

A fully automated end-to-end CLV analytics engine
Reduction in delivery time from months to around three weeks per client
Data processing and cleaning reduced from days to a few hours
Significant reduction in human error
Centralized data with clear lineage and history
Improved data governance and reliability
Ability to onboard more clients without increasing workload

The new system allowed the company to iterate faster, deliver insights more efficiently, and maintain consistent quality across all projects.

⭐⭐⭐⭐⭐

“Working with Tenplus helped us transform a complex and manual process into a structured and automated system. The team built a scalable data platform that allows us to deliver insights faster and with greater accuracy. We can now serve more clients, reduce errors, and build on a strong data foundation for future growth.”

Managing Director, Customer Growth
Ambition Data

We’ve Helped Them

We’ve partnered with many household brand names to deliver insights and solutions to their problems with big data.

Happy Clients

Don’t just take our word for it – our clients frequently stay in touch with us and work with us on future projects that require big data insights.

I work in agricultural consulting, meaning that we often need to use big and complex datasets to justify expensive investments for our clients. DataAI consultants helped us see the big picture with their visualization tools and expertise.

As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. DataAI's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.

Start Your Free PoC With Tenplus Today

Your idea does not need months of planning. Your team does not need to guess. Your business does not need to wait. A free PoC gives you a working example in only 15 days. It shows you what is possible and why modern data and AI systems matter.