Blog

Data Platform Modernization for Enterprise Sales and Analytics

MicrosoftTeams-image (35)
Case Study / Success Story

Data Platform Modernization for Enterprise Sales and Analytics

Overview:

Business Vision

A company encountered the challenge of utilizing a hosted Sales Data and Analytics platform to manage a massive and varied consumer base. The existing data platform, which comprised legacy technologies such as DB2 and DataStage, lacked appropriate documentation and utilized extremely complex SQL Server Store Procedures for ETL processing. The organization acknowledged the need for a digital transformation initiative to modernize its data platform and migrate it to Microsoft Azure in the cloud.

Challenges

  • Diverse Customer Base:

    The company encountered a significant and varied customer base, resulting in the complex management of data from multiple sources. The Sales Data and Analytics platform that was hosted had a decentralized approach, resulting in the presence of data silos and operational inefficiencies.

  • Insufficient Knowledge and Documentation:

    Over the course of its operations, the organization had gathered legacy applications and data without comprehensive documentation. The limited understanding of these applications posed problems with understanding their functionalities and dependencies.

  • Legacy Technologies:

    The data platform was constructed using obsolete legacy technologies such as DB2 and DataStage. They exhibited limitations in scalability, data processing capabilities, and compatibility with modern systems.

  • ETL (Extract, Transform, Load) Processing:

    The ETL (Extract, Transform, Load) method made use of very complicated SQL server stored procedures. These processes were difficult to maintain and hampered the agility and flexibility needed for successful data processing.

Solution Approach

DataSwitch implemented a comprehensive solution for Data Modernization to address the challenges faced by the company. The solution included the following key steps:

  • End-to-End Data Modernization:

    DataSwitch offered an integrated approach to Data Modernization that encompassed each aspect of the data platform. This required the development of a migration strategy for the existing DB2 Schema, Store Procedures, and DataStage ETL Process.

  • DS Migrate Process Converter

    DataSwitch employed its cutting-edge DS Migrate Process Converter solution to facilitate the migration from DataStage to Azure Synapse (Spark). This automated function facilitated the efficient and seamless conversion of DataStage ETL codes to the Azure Synapse platform, thereby reducing manual effort and ensuring accuracy.

  • Automation of DB2 Migration:

    DataSwitch offered automated tools for converting complicated DB2 schema and stored procedures to Azure SQL stored procedures. By automating this procedure, the organization saved substantial time and reduced potential migration issues.

  • Collaboration with Proserv Team:

    DataSwitch’s highly skilled Professional Services team worked closely with the client’s Data team throughout the migration process. The expertise and guidance provided by the team resulted in a seamless and effective conversion of the Schema and ETL processes.

Value Delivered

  • 70% Faster Processing Time:

    The company’s migration to Azure Synapse and automation of complicated processes resulted in a 70% decrease in data processing time, allowing it to function more effectively and make data-driven choices more quickly.

  • Conversion of 500 DataStage tasks:

    DataSwitch successfully converted 500 complicated DataStage tasks to Azure Synapse, allowing the firm to fully utilize the benefits of the contemporary cloud platform.

  • Conversion of 500 DB2 Scripts:

    Automation of DB2 Schema and Stored Procedures resulted in the transfer of 500 DB2 scripts to Azure SQL stored procedures, simplifying data administration and improving performance.

  • 90% Automation Efficiency:

    DataSwitch achieved a stunning 90% automation efficiency by introducing automation into the migration process, saving manual work and enhancing accuracy.

  • Coding Guidelines and Best Practices:

    DataSwitch established coding rules and best practices for the conversion, assuring uniformity and conformity to industry standards.

In conclusion, DataSwitch’s end-to-end solution and seamless migration to the Microsoft Azure platform enabled the company to modernize its data platform effectively. The adoption of automation, collaboration with the ProServ team, and leveraging advanced tools like DS Migrate Process Converter resulted in significant time and cost savings while enhancing overall data processing efficiency. With a modern and agile data platform, the company is now better equipped to meet its strategic growth goals and capitalize on new business opportunities.

Fast Facts

  • Technologies: DS Migrate, DB2, DataStage, Azure Synapse
  • Duration: 3-4 Months Timeline
  • Engagement Model: Platform + Professional Services

Book For a demo