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Data Consistency Management in Solution Manager comprises the tools and procedures required to prevent, detect, investigate and correct inconsistencies in your solution landscape. This helps to ensure the successful execution of your core business processes and prevents costly business process downtimes.


Today's business processes evolve in complex structures involving several systems of the overall landscape. As shown in the picture below it is important to ensure the data consistency between all involved systems.

Apart from user level errors like an incorrect manual entry in the system, there are possibilities of inconsistencies as well on application and technology level. The figure below presents potential causes of data inconsistency.

Why can Data Inconsistencies Occur?

User Level

User Level: Data inconsistencies due to

  • Real world operation System transaction

  • Incorrect manual entry of data

  • Completely missing entry of data

  • Wrong usage of transaction

Application Level

Application Level: Data inconsistencies within one system or between two systems due to

  • Absence of error handling

  • No clear leading system defined

  • Logical inconsistencies in application integration

  • Errors in application programs (transactional correctness)

Technology Level

Technology Level: Data inconsistencies due to

  • Data Loss

  • Initial Loads may have run into problems

  • One system crashes and is reset to an earlier state

  • Problems with Delta Loads



Handling overview

The process of Data Consistency Management consists of 4 steps: Prevention, Detection, Correction and Investigation. In the picture below, these steps are displayed in a cycle expressing the continuity of the process.



Solution Manager includes several tools to cover the Data Consistency Management cycle and different technologies. The following figure presents those tools. Details for these tools are provided in the tool-specific section.


ToolDescriptionUser Guide(s)

Cross Database Comparison (CDC)

Cross Database Comparison (CDC) can be used to compare data sources with a complex structure or hierarchy. Furthermore the comparison can be executed across different systems. The user can check whether the data in the source and target systems is consistent, e.g. whether the updates in the source system have been correctly replicated to the target system. Examples of complex data sources are sales orders with several billing items or a customer master record containing multiple addresses, partner roles and bank details.

Internal Database Comparison (IDC)

Internal Database Comparison (IDC) can check data for consistency within one SAP system, for example, by comparing two tables to detect any missing table entries or inconsistent field contents.

Guided Self Service for DCM (GSS DCM)

The Guided Self Service for DCM should be the central starting point of all investigations related to Data Consistency. It provides guidance how to ensure data consistency in certain scenarios like e.g. “check consistency in CRM” or “check consistency” after a corruption in the database table or business object.

Transactional Correctness (TC) Tool for ABAP and JAVA

The Transactional Correctness Tool checks the transactional correctness of your ABAP and JAVA programs. Transactional correctness is an important database consistency requirement. If multiple programs update the same information simultaneously, data correctness can be at risk if the changes are not performed in an isolated manner. Locks control the access to data by multiple programs. In the event of a system failure, the logical unit of work principle ensures that the data affected is still consistent after recovery.

Data Consistency Monitoring and Interface Monitoring

Data Consistency Monitoring proactively ensures a reliable business process flow and data consistency.

Interface Monitoring proactively ensures a reliable business process flow by monitoring interfaces, reporting failures which might lead to inconsistencies.

Business Process Completeness Check (BPCC)

The Business Process Completeness Check in SAP Solution Manager collects and evaluates log information that is written during the business process execution. Business processes have to be instrumented (coding changed - this means code enhancements to standard SAP and/or custom code, with many modularization units affected) to write the necessary logging information. The BPCC is integrated into the Exception Management Cockpit.




Learn how to use the Cross Database Comparison tool in Solution Manager 7.2 by following a guided demonstration.

Media Center

Solution Manager 7.2

Cross Database Comparison

User Guide

Cross Database Comparison- Guide

Enhancement Guide

CDC Enhancement Guide

SAP Help

SAP Help on CDC

Interface Monitoring, Documentation and Integration Repository



Overview Interface Monitoring SAP Solution Manager 7.2

Overview Interface Documentation SAP Solution Manager 7.2


User Guide

Integration Repository

Monitoring of Integration Scenarios

Dashboard Builder Capabilities

Cross Database Comparison


Interface Monitoring


SAP Help

SAP Help on Dashboard Builder

Data Consistency Monitoring

User Guide

Data Consistency Monitoring Guide (Valid from Solution Manager 7.1 SP12+)

Monitoring of non-ABAP/non-SAP systems


Business Process Completeness Check



User Guide

BPCC Setup Guide



GSS Data Consistency Management - End User Manual

Cloud Applications and Extensions

Single Document Search


Cross Database Comparison Consumption UI


Customer Feedback

SF Express

One Pager

BB e Mapfre

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