SAP Data Quality
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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.
881 results
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- SAP ABAP Test Cockpit
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Know Every Aspect of the ABAP Test Cockpit: Part I
Reading time: 23 mins
Learn the steps for configuring the SAP NetWeaver ABAP Test Cockpit to ensure that your SAP system’s ABAP programs remain clean and adhere to the best programming practices. Key Concept The SAP NetWeaver ABAP Test Cockpit (ATC) verifies the quality of ABAP objects in multiple areas and assigns priorities to these different categories of checks...…
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- SAP Business Suite
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SAP Data Services Part 1: Integrating with SAP Business Suite Sources
Reading time: 15 mins
Gain an overview of SAP Data Services and how to extract data by leveraging SAP Business Suite extractors. Key Concept SAP Data Services can integrate with the SAP Business Suite to transport data by using extractors that streamline the extraction, transformation, and loading (ETL) process for this type of deployment. SAP Data Services (formerly SAP...…
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Getting Started with SAP BusinessObjects Data Migration
Reading time: 18 mins
Migration projects require iteration of data loads to better understand data, as well as close collaboration between business and IT. Beyond that, migration projects also need to be driven by software with functionality that allows you to convert legacy data into the appropriate format of your SAP solution. Discover what you need to know to...…
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SAP Data Services: Integrating with SAP Business Suite Sources
Reading time: 28 mins
Gain an overview of SAP Data Services and how to extract data by leveraging SAP Business Suite extractors. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here
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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...…
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Enterprise Information Management: What, Why, Where, and How
Reading time: 17 mins
Understand how SAP solutions for enterprise information management (EIM) cover all types of information. This includes data that is structured, semi-structured, or unstructured, as well as many content forms such as documents, emails, and PDFs. It also supports business processing and analytical applications, and evolves into information governance to ensure data and information are managed...…
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A Step-by-Step Setup Guide to SAP Solution Manager Adapter for SAP Quality Center by HP: Part 1
Reading time: 11 mins
ManagerIn this first half of a two-part series, learn how to begin the setup of SAP Solution Manager Adapter for SAP Quality Center by HP. See how you can prepare and meet the requirements for connecting the two systems. Key Concept Preparing for the integration between SAP Solution Manager and SAP Quality Center by HP...…
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Information Governance: Setting and Enforcing your Data Policy Decisions
Reading time: 16 mins
Matthew Wagnon, Senior Product Manager at BackOffice Associates, answers readers’ questions on setting and enforcing data policy decisions and discusses why this is critical for your business. Read the transcript to learn about: What the initial design and best practices architecture for information governance looks like, and what it will take to establish How policy execution...…
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Getting Started with SAP BusinessObjects Data Migration to an SAP CRM System
Reading time: 14 mins
Data migration is a major task, and crucial for a successful SAP CRM implementation. Learn about using SAP BusinessObjects Data Migration to move your data into SAP CRM, ensuring that it can be trusted by users and is ready for business process execution. Key Concept Enterprise Information Management (EIM) is the discipline of managing, governing,...…
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Part 2: Data Modeling Strategies to Avoid Data Inaccuracy and Ensure Consistency
Reading time: 38 mins
Overcome the challenge of retaining the original master data attribute validity from when transactions occurred. Key Concept Developers only tend to use time-dependent master data attributes when a source system provides them as time dependent. However, SAP NetWeaver BI can also record time-independent master data from a source system as time dependent. This can greatly...…
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