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.
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- SAP BI Tools
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An Introduction to SAP Predictive Analytics 2.0 and SAP HANA Predictive Tools
Reading time: 64 mins
In this exclusive report by Hillary Bliss, take a walk into the world of the SAP suite of predictive tools with an in-depth tour of the new SAP Predictive Analytics 2.0 and how it ties into SAP HANA and SAP Lumira. Learn the importance of general predictive modeling concepts, and then apply those concepts as…...…
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Data Can’t Wait: Start Planning Today
Reading time: 14 mins
Since the inception of SAP S/4HANA, one of the main risks that often derails the implementation journey centers around preparing, cleansing, converting, and managing the data. This article presents leading practices that SAP customers can leverage during their SAP S/4HANA implementations to significantly reduce program risks associated with the data conversion process. The advice provided…
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SAP Data Services: How to Extract, Transform, and Load Data into SAP HANA
Reading time: 15 mins
Examine and compare the classic SAP Data Services approach for extracting, transforming, and loading (ETL) processes to the functionality that is native to SAP HANA to determine optimal integration. This content is for Basic Access, SAPinsider Monthly Subscription, SAPinsider Annual Subscription, and SAPinsider Premium Annual Subscription members only.Log In Join Now
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- SAP BI Tools
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An Introduction to SAP Predictive Analysis and How It Integrates with SAP HANA
Reading time: 57 mins
In this exclusive report, take a walk into the world of SAP Predictive Analysis and how it ties into SAP HANA and SAP Lumira (formerly known as SAP Visual Intelligence). Learn the importance of general predictive modeling concepts, and then apply those concepts as part of a bigger discussion about the architecture and features of…...…
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Support Regulatory Compliance Across Your SAP Landscape with SAP Data Privacy Integration
Reading time: 13 mins
While it is important for businesses to ensure data privacy to gain the trust of both customers and business partners, the protection of this data is critical for adhering to the regulations that countries are introducing at a growing rate, with more data privacy bills introduced in 2020 compared to 2019. These regulations — such…
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How to Migrate to the New DataSource Concept in SAP NetWeaver 2004s
Reading time: 17 mins
A new data flow concept has been introduced in SAP NetWeaver 2004s. SAP still supports the existing classic 3.x data flow, which allows customers to migrate as their needs warrant. Although the migration is not required, it presents a host of new capabilities. Key Concept A DataSource can only exist in one of two states:…...…
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- SAP Data Integration
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Managing Data with SAP Solutions: SAP HANA and non-HANA Use Cases
Reading time: 17 mins
See some examples of integration solutions based on SAP-provided replication tools that you can use to integrate SAP and non-SAP applications. The tools support a wide variety of data types (structured and unstructured) and formats (including data streams). Key Concept The new SAP HANA replication and consolidation capabilities can simplify the architecture of the solution…...…
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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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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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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. This content is for Basic Access, SAPinsider Monthly Subscription, SAPinsider Annual Subscription, and SAPinsider Premium Annual Subscription members only.Log In Join Now
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David Maloney
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SAP BW / HANA Solution Architect, Manging PArtner BIAnalyst Gmbh & Co. KG
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