Software AG Case Studies Creating a data warehouse with custom order processing systems

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	Creating a data warehouse with custom order processing systems Software AG

Creating a data warehouse with custom order processing systems

Software AG

Technology Category	Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Equipment & Machinery
Applicable Functions	Discrete Manufacturing Business Operation
Use Cases	Supply Chain Visibility Inventory Management
Services	System Integration Data Science Services
Challenge	Fabick Cat, a tractor dealer specializing in the distribution of Caterpillar® equipment, faced a challenge when it acquired a second Caterpillar dealership. The newly acquired dealership had its own custom-written order processing system running on OpenVMS with RMS files, different from Fabick Cat's IBM® AS/400 based system. Fabick Cat wanted a solution to provide a data warehouse for both systems to ensure uniform reporting and analytics for both companies. The initial plan was to FTP files from the OpenVMS server and load them into SQL Server. However, the amount of data downloaded every day and the manual nature of this approach raised concerns. Read More
About Customer	Fabick Cat is a tractor dealer that specializes in the distribution of Caterpillar® equipment. The company’s product line consists of more than 300 machines, including articulated trucks, backhoe loaders, compactors, front shovels, hydraulic excavators, motor graders, paving equipment, and off-highway trucks. It also offers a wide range of rentals. The company was established in 1917 and maintains a facility in Fenton, Miss., U.S. Today, there are more than 1,100 employees including members of the Fabick family’s third, fourth, and fifth generations, working together under the active leadership of the founder’s great-grandson, Douglas Fabick, as CEO and Dealer Principal along with Jeré Fabick serving as President and co-Dealer Principal. Read More
Solution	Fabick Cat decided to use CONNX DataSync, a micro-batch, low-latency Change Data Capture (CDC) solution that keeps data fresh and up-to-date without impacting the performance of data sources. DataSync enables companies to maintain data warehouses with minimal effort or system requirements, delivering near real-time data integration and continuous refreshes by incrementally updating only those records that have changed. With the database synchronization software, companies can schedule updates to optimize system performance based on individual needs. Depending on the demand, updates can be scheduled for lower-use periods, such as after normal business hours, or as frequently as every minute when more up-to-date data is needed. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Equipment & Machinery

Applicable Functions

Discrete Manufacturing

Business Operation

Use Cases

Supply Chain Visibility

Inventory Management

Services

System Integration

Data Science Services

Challenge

Fabick Cat, a tractor dealer specializing in the distribution of Caterpillar® equipment, faced a challenge when it acquired a second Caterpillar dealership. The newly acquired dealership had its own custom-written order processing system running on OpenVMS with RMS files, different from Fabick Cat's IBM® AS/400 based system. Fabick Cat wanted a solution to provide a data warehouse for both systems to ensure uniform reporting and analytics for both companies. The initial plan was to FTP files from the OpenVMS server and load them into SQL Server. However, the amount of data downloaded every day and the manual nature of this approach raised concerns.

About Customer

Fabick Cat is a tractor dealer that specializes in the distribution of Caterpillar® equipment. The company’s product line consists of more than 300 machines, including articulated trucks, backhoe loaders, compactors, front shovels, hydraulic excavators, motor graders, paving equipment, and off-highway trucks. It also offers a wide range of rentals. The company was established in 1917 and maintains a facility in Fenton, Miss., U.S. Today, there are more than 1,100 employees including members of the Fabick family’s third, fourth, and fifth generations, working together under the active leadership of the founder’s great-grandson, Douglas Fabick, as CEO and Dealer Principal along with Jeré Fabick serving as President and co-Dealer Principal.

Solution

Fabick Cat decided to use CONNX DataSync, a micro-batch, low-latency Change Data Capture (CDC) solution that keeps data fresh and up-to-date without impacting the performance of data sources. DataSync enables companies to maintain data warehouses with minimal effort or system requirements, delivering near real-time data integration and continuous refreshes by incrementally updating only those records that have changed. With the database synchronization software, companies can schedule updates to optimize system performance based on individual needs. Depending on the demand, updates can be scheduled for lower-use periods, such as after normal business hours, or as frequently as every minute when more up-to-date data is needed.

Impact #1	Fabick Cat was able to create a SQL Server® data warehouse.
Impact #2	The company was able to consolidate reporting across multiple business units with different data sources.
Impact #3	Files from Change Data Capture (CDC) were indexed to SQL Server.

Impact #1

Fabick Cat was able to create a SQL Server® data warehouse.

Impact #2

The company was able to consolidate reporting across multiple business units with different data sources.

Impact #3

Files from Change Data Capture (CDC) were indexed to SQL Server.

Benefit #1	DataSync is able to perform most syncs in seconds.
Benefit #2	Only copying the changed data has not impacted the performance on the OpenVMS server for interactive users.

Benefit #1

DataSync is able to perform most syncs in seconds.

Benefit #2

Only copying the changed data has not impacted the performance on the OpenVMS server for interactive users.

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Overview

Creating a data warehouse with custom order processing systems

Operational Impact

Quantitative Benefit