LR SERVICES
We are building a unique data infrastructure to apply data mining, infer human needs and attributes, and utilize it for marketing. We are building a unique data infrastructure to apply data mining, infer human needs and attributes, and utilize it for marketing.
We are building a unique data infrastructure to apply data mining, infer human needs and attributes, and utilize it for marketing. We are building a unique data infrastructure to apply data mining, infer human needs and attributes, and utilize it for marketing.
Data Engineering
The key to building a data-driven organization is modern data engineering. It enables the construction and automation of pipelines for collecting, transforming, and distributing data. By introducing the latest tools such as dbt, Fivetran, and Airbyte, we accelerate business.
Data Governance
By realizing modern data governance, organizations can improve their data literacy, accessibility, and quality. If there are issues such as slow data analysis, duplication of work due to unestablished role boundaries, scattered tools, and an inability to perceive the effects of data infrastructure improvements, it may be necessary to refresh data governance. We support the realization of data governance along with the introduction of the appropriate toolset.
We are building a unique data infrastructure to apply data mining, infer human needs and attributes, and utilize it for marketing. We are building a unique data infrastructure to apply data mining, infer human needs and attributes, and utilize it for marketing.
BI and data analysis
In recent years, many companies have been reforming to become data-driven. On the other hand, issues such as data inconsistencies and omissions, delays in reporting, and rising analysis costs hinder these reforms. We are working to simplify, automate, and accelerate the flow of necessary data for organizations to gain insights more efficiently.
Data Science
The scope of machine learning applications is increasing day by day, and when successfully utilized, it generates immense value. We are working on enhancing the efficiency of machine learning through the automation of data pipelines and the adoption of MLOps processes. We provide tools and expertise to simplify, process, and extract value from vast amounts of data.
Data sharing
Data sharing is not secure or without many problems. On the other hand, methodologies for safely sharing data with vendors and partners have also evolved significantly in recent years. We will develop modern data sharing strategies, streamline both data accessibility and data governance, and support the realization of safe and privacy-compliant sharing.
Data Application
The scope of machine learning applications is increasing day by day, and when successfully utilized, it generates immense value. We are working on enhancing the efficiency of machine learning through the automation of data pipelines and the adoption of MLOps processes. We provide tools and expertise to simplify, process, and extract value from vast amounts of data.
