How a Leading Indonesian Media & Publishing Company Unlocked Data Intelligence and AI-Powered Customer Insights with Databricks
Powered by ICS Compute | Databricks Partner
Executive Summary
A leading Indonesian media and publishing organization partnered with ICS Compute to evaluate the Databricks Data Intelligence Platform through a Proof of Concept (PoC). Operating a complex multi-source data environment spanning CRM systems, cloud storage platforms, and analytics workloads, the organization faced increasing challenges related to data fragmentation, slow time-to-insight, and limited machine learning adoption.
The PoC successfully validated five key business objectives:
- Direct data ingestion without intermediary database dependencies
- Enterprise-grade governance and access control
- Lower analytics costs and improved query performance
- Self-service analytics through natural language querying
- Integrated machine learning capabilities for customer intelligence
All success criteria were achieved, providing a strong foundation for future modernization initiatives.
About the Organization
The customer is one of Indonesia's largest media and publishing groups, operating across digital media, publishing, retail, loyalty programs, and consumer engagement platforms.
Managing millions of customer interactions across multiple business units, the organization recognized the need to transform large volumes of transactional and behavioral data into actionable business intelligence. However, increasing data complexity was creating operational challenges that limited agility and innovation.
The Challenge
As data volumes and business demands increased, several strategic challenges emerged:
1. Fragmented Data Architecture
Data was distributed across multiple platforms, requiring intermediary systems and complex integration workflows. This increased operational overhead and slowed access to business-critical information.
2. Slow Time-to-Insight
Business users relied heavily on technical teams for reporting and analytics. Answering operational questions could take anywhere from several hours to multiple days.
3. Rising Analytics Costs
Existing cloud analytics workloads were becoming increasingly expensive, while query performance was not keeping pace with growing business demands.
4. Governance and Compliance Gaps
Data assets were distributed across multiple environments, making it difficult to enforce consistent access controls, maintain lineage visibility, and support governance requirements.
5. Limited AI and Machine Learning Adoption
Customer segmentation and retention strategies were largely rule-based, limiting the organization's ability to predict customer behavior and proactively improve engagement.
The Solution
ICS Compute designed and implemented a modern Databricks Lakehouse architecture on AWS that unified the customer's data ecosystem.
Key components included:
Unified Lakehouse Architecture
A Medallion Architecture (Bronze, Silver, Gold) consolidated data from multiple enterprise systems into a single governed platform.
Direct Data Ingestion
Native connectivity eliminated dependency on intermediary database layers, simplifying data movement and reducing operational complexity.
Centralized Governance
Databricks Unity Catalog provided centralized metadata management, lineage tracking, auditability, and fine-grained access control across data and AI assets.
AI-Powered Self-Service Analytics
Databricks Genie enabled business users to interact with data using natural language, reducing reliance on technical teams for routine analytics requests.
Integrated Machine Learning Platform
Databricks AutoML, MLflow, Feature Store, and Model Serving capabilities enabled end-to-end development and deployment of customer intelligence models.
Results & Business Impact
The Proof of Concept delivered measurable business outcomes across cost, performance, governance, and AI adoption.
Unified security, lineage, and access management
These improvements helped the organization establish a scalable foundation for future analytics, AI, and data governance initiatives.
The Bottom Line
This engagement demonstrated how a modern Data Intelligence Platform can transform fragmented enterprise data into a strategic business asset.
By unifying data, improving governance, reducing operational costs, and enabling AI-powered insights, the organization gained a clear path toward becoming a more data-driven enterprise. The PoC validated not only the technology, but also the business value of a modern Lakehouse architecture—providing a compelling foundation for future expansion of analytics and AI capabilities.
ABOUT PT. INNOVATION CLOUD SERVICES (ICS COMPUTE)
ICS Compute is an AWS Premier Partner and the first partner in ASEAN to achieve AWS Generative AI Competency. As a Databricks implementation partner, ICS brings deep expertise in Lakehouse architecture, medallion pipeline design, Unity Catalog governance, and ML platform delivery across Indonesia's enterprise market.
For this engagement, ICS served as the end-to-end design and delivery partner, responsible for architecture, pipeline development, governance configuration, Genie AI tuning, AutoML implementation, and knowledge transfer throughout the project.