Highlights
Problem:Fragmented data silos, slow collaboration and limited scalability prevented CASETiFY from delivering the real-time personalization their global customers expect.
Solution:CASETiFY unified siloed data with governance on the centralized Databricks Platform, enabling scalable analytics, AI-driven insights and personalized customer experiences.
Product descriptions:
CASETiFY transforms digital accessory cases into canvases for creativity, serving millions of customers across more than 150 countries with both online and in-store experiences. As the company scaled, data silos and fragmented systems slowed decision-making and limited personalization. Using Databricks, CASETiFY unified their data on a single lakehouse architecture, unlocking AI-driven insights, marketing mix modeling and next-generation personalization. Today, CASETiFY can lead the creation of new customer trends, empower teams with trusted data and innovate with generative AI.
Battling data silos that block personalization
CASETiFY is on a mission to drive trendsetting innovation, blending emerging aesthetic movements with bold creativity to craft tailored experiences that shape the future of style. As CASETiFY expanded to serve millions of customers across more than 150 countries, the complexity of their data grew just as rapidly. Marketing performance metrics lived in ad platforms like Meta and TikTok, transactional data was isolated in internal databases and behavioral data was locked in Google Analytics. With each system operating independently, teams lacked a unified view of the customer journey, making it nearly impossible to connect marketing spend with business outcomes.
Legacy infrastructure compounded the challenge. Designed primarily for structured sales data, CASETiFY’s systems struggled to handle the scale and diversity of modern e-commerce data. Semi-structured JSON from application programming interfaces (APIs) and clickstream logs created brittle pipelines that collapsed under peak demand, such as during the launch of a new iPhone. The lack of scalability also prevented advancement into more sophisticated analytics. SQL-based analysts and Python-driven data scientists worked in separate environments, dependent on stale, sampled datasets that hindered predictive modeling and slowed progress.
These constraints had a direct impact on collaboration and business agility. Analysts, engineers and data scientists were trapped in a fragmented, assembly-line workflow, with long delays, duplicated effort and inconsistent results. “Answering a seemingly simple question like ‘What was the true ROI of your latest influencer campaign?’ required a monumental manual effort of exporting and stitching together data in spreadsheets,” Jason Tse, Senior Data Manager at CASETiFY, recalled. “It was slow, error-prone and left us with unreliable insights.”
To overcome these barriers, CASETiFY needed a scalable, collaborative platform to unify data, streamline workflows and unlock AI-driven personalization for their global community.
Powering collaboration with one source of truth
To overcome the limits of siloed systems and weak pipelines, CASETiFY turned to the Databricks Data Intelligence Platform. By adopting a centralized architecture, the team unified their data lake and warehouse into a single source of truth built on Delta Lake. This eliminated the need for complex extract, transform, load (ETL) processes, allowing CASETiFY to connect marketing, sales and customer data in a single, reliable environment. With this orchestration, CASETiFY can measure campaign ROI, align marketing spend with inventory levels and act on consistent, up-to-date insights.
Databricks also unlocked advanced analytics and AI at the scale of CASETiFY’s global business demands. Elastic compute capabilities allowed the company to run millions of SKU-level models in parallel during critical product launches. At the same time, Databricks SQL and Mosaic AI accelerated the team’s ability to analyze trends and build predictive models. The enhanced scalability turned once-impossible tasks into routine processes, fueling innovation in personalization, behavioral segmentation, customer lifetime value (CLV) prediction and marketing mix modeling.
Just as essential, Databricks transformed how CASETiFY’s data teams work together. Analysts, engineers and data scientists can now collaborate in shared, multi-language notebooks, working on the same live data while using their preferred tools. “The shared notebook environment has replaced the inefficient, sequential workflow with a truly interactive and agile process,” Jason said. “An analyst can explore data, a scientist can build on it and an engineer can productionize it — all in one place.”
This collaborative foundation, combined with fine-grained data governance through Unity Catalog and productivity gains from serverless workflows, has given CASETiFY the agility to innovate quickly while ensuring compliance and trust.
Cutting costs while accelerating insights
Since unifying data on the Databricks Data Intelligence Platform, CASETiFY has achieved measurable business gains across revenue, efficiency and speed. Personalization and customer segmentation powered by a single source of truth have directly contributed to a year-over-year double-digit growth in repeat customer revenue. Marketing mix modeling has delivered a 10–15% improvement in budget efficiency, enabling managers to make informed allocation decisions based on real-time insights rather than intuition.
Operationally, CASETiFY reduced data transformation costs by 20% with serverless workflows that eliminate the need to provision and manage clusters manually. The increase in efficiency has dramatically accelerated time to insights across the business, with Tableau dashboards — once barely used — now driving over 5,000 weekly views. Commercial teams across marketing, retail and operations rely on these dashboards daily to create and amplify new trends with speed and precision.
Most importantly, Databricks has positioned CASETiFY to innovate faster. Generative AI is being embedded into workflows, from customer service tools that auto-suggest replies to executive dashboards that automatically summarize complex reports. Jason said, “Databricks provides the unified data intelligence to understand what self-expression means at a global scale. It enables us to deliver the hyper-personalized products that are the very heart of our mission — to shape the future of style.”
With Databricks as their data foundation, CASETiFY is building the next generation of personalized experiences, where every customer interaction is informed by data and powered by AI.