Dentsu Soken Launches 'BricksBase' to Accelerate Databricks Implementation

Dentsu Soken Inc. announced that starting June 4, 2026, it will offer 'BricksBase,' a solution designed to rapidly build infrastructure for effectively utilizing the vast amounts of data held by enterprises.

This solution combines Dentsu Soken's expertise in system construction with proprietary ETL templates, Spec Driven Development (SDD), and AI agents. By eliminating reliance on individual expertise and standardizing quality, it allows for the construction of advanced data analysis environments—which previously took months to years—in as little as two months.

Background Many companies are actively working on data utilization; however, they face challenges in infrastructure construction, such as complex and time-consuming processes, and inconsistent quality due to dependence on individual developer skills.

Against this backdrop, the 'Databricks' data intelligence platform has gained attention for its ability to execute everything from data accumulation and processing to analysis and AI utilization in a single environment. While Databricks allows for flexible data processing, unleashing its full potential requires 'data prepared in an analytical state, free of omissions and duplicates.' This, however, requires advanced expertise in distributed data processing and efficient management.

Dentsu Soken developed this solution to solve these challenges and provide an environment where companies can focus on data-driven decision-making.

Features of 'BricksBase' 1. Infrastructure Construction Leveraging Databricks Standard Features By utilizing the characteristics of Databricks, which can perform everything from data extraction and analysis to advanced AI utilization in one environment, the infrastructure is built using only standard functions without adding other products. This simplifies complex system configurations while simultaneously suppressing operating costs and reducing management burdens.

2. Shortening Construction Time with Proprietary ETL Templates The solution uses standard ETL templates developed internally by Dentsu Soken. Instead of manual custom program development, it uses templates that automatically process data based on configuration information (metadata), enabling introduction in as little as two months while maintaining uniform quality.

3. Automation of Data Preparation for Analysis using SDD and AI Agents A unique framework integrating SDD and AI agents is applied to the time-consuming process of 'aggregating and processing analytical data.' The AI analyzes specifications entered by staff to automatically generate optimal processing programs, and autonomously executes error resolution and verification, achieving the prevention of human error and business efficiency.

Dentsu Soken will continuously update 'BricksBase' in line with the evolution of Databricks and AI technologies. Through this solution, the company aims to reduce the man-hours required for constructing data utilization infrastructure and contribute as a partner that accompanies clients from actual data utilization to AI transformation and business growth.