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This document introduces recommendations for building a data analysis infrastructure that can be continuously utilized in business operations. Within various business systems existing in a company, there is a wealth of valuable information, and it is desirable to effectively leverage this information to enhance one's own operations. To achieve this, it is important to build a Data Warehouse (DWH) that serves as the foundation for data analysis and to proficiently use Business Intelligence (BI) tools for ongoing data analysis. [Contents] ■ What is the purpose of data analysis in the first place? ■ Challenges observed in the data analysis process ■ How to create an ideal data analysis infrastructure ■ Tips for utilizing the major trend in BI tools: "Amazon Redshift" ■ The breadth of utilization required for ETL ■ Why ASTERIA Warp is convenient *For more details, please refer to the PDF document or feel free to contact us.

Amid the wave of digital transformation, the necessity for digital management that is data-driven is increasing. This document discusses the challenges surrounding the realization of data-driven management and introduces solutions to these challenges. It includes the current situation in Japan and issues related to data utilization. [Contents] ■ Why is it necessary!? Digital Management ■ Data Utilization - The Situation in Japan ■ Challenges Surrounding Data Utilization ■ Solutions to Challenges ■ The Key to Achieving DX Lies in the Automation of Data Integration *For more details, please refer to the PDF document or feel free to contact us.

WOWOW Communications utilizes various media characteristics such as telephone, fax, and the internet to provide telemarketing services and operate contact centers, adapting to the times. While placing the core of its business in the communication field, the company develops a wide range of businesses, and our data integration middleware "ASTERIA Warp" is utilized as the system infrastructure that connects essential CRM systems and CMS among its business operations. It enables smooth integration of increasingly complex systems like CRM and CMS. 【Implementation Effects】 ■ Successful data integration in just over one week ■ Dramatic improvement in operational efficiency through the optimization of fully automated information aggregation systems ■ Flexible response to sudden customer requests ■ Contributes to the creation of new sales opportunities *For more details, please refer to the PDF document or feel free to contact us.

Mitsui Sumitomo Finance & Lease Co., Ltd. prepares various documents such as lease estimates based on the estimates of introduced equipment from customers and dealers. To streamline the input of contract details into the core system, we have built a back-office structure using our data integration middleware "ASTERIA Warp," which has been widely utilized for collaboration between various internal systems. By linking multifunction printers with Notes and automatically converting various document creation requests into PDFs for transmission, we have facilitated smooth information flow within the back office and achieved paperless operations. [Challenges] ■ Issues - Increase work efficiency through automation of operations and further deployment to the core system ■ Results - Achieved document management centered around ASTERIA Warp for operational efficiency - Improved work efficiency and reduced labor costs through Notes integration *For more details, please refer to the PDF document or feel free to contact us.

F.O. International Co., Ltd., which plans, produces, and sells baby and children's clothing for both domestic and international markets, has recently established a system to aggregate and analyze company-wide business activity data in order to develop more accurate sales strategies. In this process, our data integration middleware ASTERIA Warp was adopted as the tool to connect the core data warehouse with various business systems. This not only enables quick and easy integration with diverse systems but also facilitates cross-functional analysis, providing many benefits. [Case Overview] ■Challenges - Building a dedicated data analysis environment to improve the accuracy of management decisions ■Results - Achieved an environment capable of high-precision analysis - Additionally, approximately 3,000 workflows support the business *For more details, please refer to the PDF document or feel free to contact us.

Antelio, which provides a variety of research services for the healthcare industry, has revamped its system for investigating and measuring pharmaceutical promotion activities. They adopted our data integration middleware "ASTERIA Warp" to enable in-house development of a system that cleanses survey response data from doctors and applies statistical processing. In addition to realizing a user-friendly system that allows for rapid in-house adjustments to processing changes, they have also improved processing performance compared to existing systems. [Case Summary] ■Challenges - They were considering a system that combines multiple products with "usability" in mind for in-house handling. ■Results - Flexibly implemented research methods in line with current trends. - Reduced data processing time by approximately half. *For more details, please refer to the PDF document or feel free to contact us.

At Lion Corporation, the aging of the mainframe and the complexity caused by the proliferation of open servers were challenges. To connect the core systems, information systems, and integrated databases, we adopted our data integration middleware "ASTERIA Warp" as the common integration platform for the entire company. After implementation, we anticipate achieving as many as 1,200 integrations in the future. Development efficiency is also estimated to improve by 30%. [Case Overview] ■ Challenges - Aging of the mainframe and complexity due to the proliferation of open servers ■ Results - Converted 1.6 million fixed-length sales performance records to CSV in 60 seconds - Anticipated to achieve as many as 1,200 integrations in the future - Estimated development efficiency improvement of 30% *For more details, please refer to the PDF document or feel free to contact us.

This is a case study of Aeon E-heart, which primarily operates restaurants and food courts in shopping centers and other commercial facilities, with approximately 300 stores. The company faced issues where discrepancies in sales figures arose due to each department using data they analyzed independently. By implementing ASTERIA Warp as an ETL tool for collecting and processing POS data, they were able to achieve the release of the new system in about one month. [Issues] - Discrepancies in sales figures arose due to each department using their own analyzed data. - Internal data was scattered, resulting in a huge amount of labor for data processing. - It was essential to adopt an in-house ETL tool that could flexibly respond to specification changes. *For more details, please refer to the PDF document or feel free to contact us.

At Dai Nippon Printing Co., Ltd., it was necessary to establish connections with approximately 200 types of systems, including core databases, data warehouses for analytical data, warehouse and delivery service provider systems, POS terminals for physical stores, and external services. After the introduction of our data integration middleware "ASTERIA Warp," productivity doubled compared to scratch development, and services were launched on schedule. There were no troubles, and stable operation was always possible. [Challenges] ■ It was necessary to build connections for the realization of the honto service. ■ The schedule for service launch was set, and completing development in a short period was imperative. ■ To maintain service availability, stable operation was essential. *For more details, please refer to the PDF document or feel free to contact us.

This is an introduction to the case study of ASTERIA Warp Core implemented at G2 Studios, a company engaged in the planning, development, and operation of smartphone game applications. At the company, only engineers had access to the data for analysis, and the operations staff needed to request the relevant data from engineers each time they wanted to perform data analysis, which prevented them from flexibly obtaining data on their own. After the implementation, it seamlessly integrated with various systems such as Amazon S3 and Azure SQL Data Warehouse, significantly reducing the man-hours required for analysis. It also became easier to re-aggregate data since it could be processed according to requests and imported into the DWH. 【Challenges】 - It was necessary to request data from engineers each time for data analysis. - A lot of man-hours were spent on collecting data for each game title. - The data formats registered in the DWH varied by project, creating barriers to standardizing analysis processes. *For more details, please refer to the PDF document or feel free to contact us.*

In business, as it has become urgent to make judgments and take actions based on various data, many in the information systems department are struggling with how to establish a data utilization infrastructure. This document introduces a data utilization infrastructure created by combining data integration tools with Google BigQuery. It includes detailed sections such as "Data-Driven Management as the First Step to DX," "DWH as a Data Utilization Infrastructure," and "Five Points to Consider When Building the Infrastructure." Please take a moment to read it. [Contents] ■ Data-Driven Management as the First Step to DX ■ DWH as a Data Utilization Infrastructure ■ DWH is Necessary Not Only for Enterprise Companies but Also for SMBs ■ How to Build a Data Utilization Infrastructure? Five Points to Consider When Building the Infrastructure ■ Suitable Options for Data Utilization Infrastructure: "Google BigQuery" and "ASTERIA Warp Core" *For more details, please refer to the PDF document or feel free to contact us.

Adways Inc. has launched the "Advertising Distribution Data Aggregation Project," which automatically aggregates, formats, and distributes advertising delivery data from approximately 50 types of advertising media used in its internet advertising business. However, the report creation personnel were manually obtaining advertising delivery data for their respective projects from each advertising medium, which posed challenges such as being time-consuming. To address this, they introduced 'ASTERIA Warp' to format the advertising delivery data in a way that makes it easier to reuse. As a result, they were able to automate the data collection tasks that were previously done manually, reducing the workload and minimizing maintenance costs, allowing for sufficient management even with a single operator. [Effects] ■ Automated the data collection tasks that were previously done manually, reducing the workload ■ Improved maintainability by modularizing common processes ■ Migrated to the cloud, enhancing server specifications and reducing processing time *For more details, please refer to the PDF document or feel free to contact us.