Identifying ERP candidates to replatform with ERP Data Hub and ERP-CM

  • Release version: Xanadu
  • Updated August 1, 2024
  • 2 minutes to read
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    Summary of Identifying ERP candidates to replatform with ERP Data Hub and ERP-CM

    ERP Data Hub enables ServiceNow customers to connect to their legacy ERP systems of record and organize ERP data efficiently. Replatforming involves scanning legacy ERP system code to identify suitable candidates for migration onto the ServiceNow AI Platform as new applications. This process enhances app performance, security, and reduces maintenance overhead.

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    ERP Customization Mining (ERP-CM) works alongside ERP Data Hub to automatically suggest good candidates for replatforming and recommends next steps, such as updating remote and extraction tables to access ERP data effectively.

    Key Features

    • Remote Tables: Define schemas to connect and retrieve external ERP data in real-time using REST or SOAP services. Data accessed via remote tables is transient, held in memory as read-only, allowing users to view and manipulate ERP data within ServiceNow without importing or storing it permanently. Remote tables support standard GlideScript operations and data handling like grouping, sorting, and filtering.
    • Extraction Tables: Designed for handling large ERP datasets by regularly extracting and saving data into local transform tables on the ServiceNow AI Platform. This enables deeper processing and serves as the data foundation for replatformed applications.
    • ERP-CM Integration: Uses AI/ML to analyze ERP data attachments sent via remote tables to identify similar candidates for replatforming, streamlining the migration process.

    Key Outcomes

    • Improved ability to identify and migrate legacy ERP applications to the ServiceNow AI Platform, leveraging existing ERP data.
    • Enhanced application performance, security, and lowered maintenance by replatforming legacy ERP apps as native ServiceNow applications.
    • Flexible data access options through remote tables for transient data handling, and extraction tables for large-scale data processing.
    • Automated candidate suggestions and actionable insights from ERP-CM to guide replatforming efforts efficiently.

    ERP Data Hub enables you to connect to your ERP (Enterprise Resource Planning) system of record, and to organize its data.

    Replatforming legacy ERP apps onto the ServiceNow AI Platform

    Replatforming is the process of scanning legacy ERP system code to find potential candidates to move onto your ServiceNow AI Platform instance as new apps. You can use data from the ERP system as a source for apps built on the ServiceNow AI Platform, improving performance, enhancing security, and reducing maintenance.

    Using ERP Data Hub, you can access standard fields for remote tables and ERP extraction tables, while ERP Customization Mining (ERP-CM) enables you to find good candidates for replatforming from the system of record to the ServiceNow AI Platform.

    ERP-CM suggests candidates and possible next steps, such as updating remote tables and extraction tables to access ERP data. Remote tables send data to the ServiceNow instance as an attachment, which is then analyzed using AI/ML to identify similar candidates to replatform.

    Using remote tables and extraction tables with ERP Data Hub and ERP-CM

    You can use a combination of remote tables and extraction tables to retrieve data from your legacy ERP system.
    • Remote tables get their records from running an associated script against an external data source.
    • Extraction tables retrieve large amounts of data using a scheduled query, and use transform tables to process data for use on the ServiceNow AI Platform.

    Remote tables describe the schema for the data that you want to retrieve from an external source, such as the system of record. Use remote tables to connect the ServiceNow AI Platform to third-party sources, or to another instance, so that you can retrieve external data and optionally cache it in the memory. You can view external data in lists or forms and process it with standard Glide scripts. You can also group, sort, aggregate, and filter the data just like you would for standard internal tables.

    By using a remote table, you can retrieve the data from external sources or from another instance with REST or SOAP services. The external data lives in the memory in read-only mode, which makes the data temporary, or transient, within the ServiceNow AI Platform. You can then view and manipulate the external data without importing or storing it. For more information, see Remote tables.

    Use an extraction table to work with large amounts of ERP data. ERP extraction tables regularly save data to a local transform table on the ServiceNow AI Platform, which you can then process and use as the data foundation of a replatformed app.