SAP Data Quality


The Importance of Quality Data in SAP and Key Considerations

Quality data becomes increasingly important as cross-departmental collaboration and remote work increases. Having a solution that can provide a single source of truth – and sort through data silos, multiple versions of data, and inaccuracies from manual entries and erroneous data – is a key component to achieving quality data.

Several SAP solutions support quality data for different business functions. These include SAP S/4HANA Cloud for group reporting, SAP’s strategic consolidation solution; SAP Master Data Governance, which provides data quality management capabilities; SAP Data Quality Management, which enables detection and correction of master data errors and inconsistencies; and others, including SAP HANA smart data quality, SAP Data Services, SAP Information Steward, and SAP Agile Data Preparation.

Several SAP vendors offer solutions to help SAP customers improve data quality. For example, Prospecta offers Data Intelligence Workbench to help organizations profile, analyze, govern, and monitor data assets. And Qlik provides test data management solutions that help organizations maintain quality test data.

The Importance of Quality Data in SAP and Key Considerations

Quality data becomes increasingly important as cross-departmental collaboration and remote work increases. Having a solution that can provide a single source of truth – and sort through data silos, multiple versions of data, and inaccuracies from manual entries and erroneous data – is a key component to achieving quality data.

Several SAP solutions support quality data for different business functions. These include SAP S/4HANA Cloud for group reporting, SAP’s strategic consolidation solution; SAP Master Data Governance, which provides data quality management capabilities; SAP Data Quality Management, which enables detection and correction of master data errors and inconsistencies; and others, including SAP HANA smart data quality, SAP Data Services, SAP Information Steward, and SAP Agile Data Preparation.

Several SAP vendors offer solutions to help SAP customers improve data quality. For example, Prospecta offers Data Intelligence Workbench to help organizations profile, analyze, govern, and monitor data assets. And Qlik provides test data management solutions that help organizations maintain quality test data.

Key Quality Data Considerations for SAPinsiders

Develop data-correction processes to prevent data errors. KMD, an NEC company and the largest IT firm in Denmark, was able to reduce its closing time from eight days to four days while also improving its data quality. During its implementation of SAP S/4HANA Cloud for group reporting, the team encountered a pain point around data quality from its source system. The challenge interfered with the company’s cash-flow automation. To address the challenge, KMD developed data-correction processes for local controllers that help avoid propagating data errors upstream to Group Finance. Read more about how KMD used testing and integration to confirm data quality.

Use SAP Integration Suite for enhanced data quality when connecting various ERP systems to the cloud. Lloyd’s Register is one of the world’s leading providers of professional services for engineering and technology that improves the safety and performance of critical infrastructure worldwide. It is building a software-as-a-service (SaaS) technology engine on Microsoft Azure and SAP Cloud — SAP’s portfolio of cloud solutions — to sup­port services heavily utilized by its customers. To achieve enhanced data quality and real-time information, Lloyd’s connected its cloud solution to various ERP systems using SAP Integration Suite.

Improve supply chain operations with quality data. Although quality data affects all lines of business, it is particularly impactful for the supply chain. Ranjan Bakshi, CEO of Prospecta, says that automation, collaboration, and effective communication to suppliers are important for achieving digital transformation. And all these requirements rely on quality data. “You don’t need a business case for a data quality solution. If you have billions invested in transformation and other areas, you just need quality data. It becomes a prerequisite, not a business case by itself,” Bakshi says.

7 results

  1. Tamr’s Five Essential Data Cleaning Techniques

    Reading time: 3 mins

    With all that can go wrong in a given dataset, companies spend a significant amount of time and effort cleansing data. It is estimated that data scientists spend more than 80% of their time cleaning data. Many organizations are beginning to rely on data products, such as those offered by Tamr, which use AI to…
  2. 10 Ways Microsoft Excel® Can Speed Up Your SAP® Processes & Improve Data Quality

    Reading time: 1 min

    While many companies currently use Microsoft Excel in their data processes, it is often done in a time-consuming and manual manner. Companies are continuously looking for ways to get work done faster, improve data quality and make an impact within their organization. In this eBook, learn how companies have leveraged a tool they’re already using…...…
  3. Managing Data with SAP Data Replication and Transformation Tools

    Reading time: 30 mins

    Data and solution integration is becoming one of the most important aspects in enterprise architecture. Learn about the functionalities provided by SAP data replication and transformation solutions and their proper use. Key Concept Modern business solutions often run in a complex enterprise landscape that requires extensive use of data replication and transformation functionality. Tools such…...…
  4. Enhance Data Quality in Real Time Using SAP Data Quality Management Software

    Reading time: 10 mins

    SAP Data Quality Management software is a data quality application that enables you to detect and correct master data errors and inconsistencies. Despite its ease of use, its ability to do basic, yet key, validations such as address validations and duplicate checks is not widely known in the industry. Therefore, the application is not widely…...…
  5. Data Quality Matters

    Reading time: 2 mins

    An extended supply chain is essential for the digital age. To remain competitive, organizations need the end-to-end visibility provided by the extended supply chain, which enables greater efficiency and higher customer satisfaction. Strong data management is key to this end-to-end visibility — organizations must ensure that all data going in and out of the supply…
  6. Live from SAPinsider Studio: Anurag Barua on Data Quality for the Digital Enterprise

    Independent consultant and longtime SAP technologist Anurag Barua joins SAPinsider Studio at the BI-HANA 2016 event to discuss data quality for the digital enterprise, including the role of SAP Data Services and SAP Information Steward. Topics of this discussion include the material impact of poor data quality, how a transition to a digital core and…...…
  7. How to Change Infotype Data Using Standard Classes and Methods

    Reading time: 18 mins

    SAP provides a number of standard classes (and methods) for updating records in infotypes. Learn the detailed steps required to create new records in an infotype, delete a record, and change fields of an already-existing infotype record. Key Concept Casting allows you to carry out assignments between two reference variables. Once the assignment is successful,…...…