TRD5 - Data Mining : créer formulaire

SAP Transaction Code - Details

• Transaction Code: TRD5

  Description: Data Mining : créer formulaire

  Release: S/4HANA and ECC 6

• • Program: SAPMKES1

    Screen: 110

    Authorization Object:

  • Development Package: FTI_CORE

    Package Description: Former FTI Objects Required in AL0

    Parent Package: APPL

  • Module/Component: FIN-FSCM-TRM

    Description: Treasury and Risk Management

AnswerBot

• SAP Tcode: TRD5 - Data Mining : créer formulaire

  ulas
  
  Overview:
  TRD5 is a transaction code in SAP that is used to create formulas for data mining. It is part of the Data Mining application, which is used to analyze large amounts of data and identify patterns and trends. The formulas created with TRD5 can be used to create predictive models and make decisions based on the data. 
  
  Functionality: 
  TRD5 allows users to create formulas for data mining. The formulas are used to analyze large amounts of data and identify patterns and trends. The formulas can also be used to create predictive models and make decisions based on the data. The formulas created with TRD5 can be used in other applications, such as SAP BusinessObjects, to further analyze the data. 
  
  Step-by-step How to Use: 
  1. Log into SAP and enter transaction code TRD5. 
  2. Select the type of formula you want to create (e.g., linear regression, logistic regression, etc.). 
  3. Enter the parameters for the formula (e.g., dependent variable, independent variables, etc.). 
  4. Select the type of output you want (e.g., graph, table, etc.). 
  5. Click “Create” to generate the formula. 
  6. Review the results of the formula and make any necessary adjustments. 
  7. Save the formula for future use or export it for use in other applications. 
  
  Other Recommendations: 
  It is recommended that users have a basic understanding of data mining concepts before using TRD5 to create formulas. Additionally, users should be familiar with the parameters needed for each type of formula they are creating in order to get accurate results from their analysis. Finally, users should save their formulas for future use or export them for use in other applications so that they can be reused or shared with others as needed.