Why SAP Data Matching Drive Business Efficiency with Advanced SAP Data Matching and Cleansing
SAP Data Matching at Scale
Our platform matches billions of records across SAP systems in minutes, consolidating duplicate data and aligning information from different sources. Whether you’re dealing with business partner data, inventory records, or customer profiles, our solution ensures clean, accurate, and reliable data.
Streamline SAP S/4HANA Migration
Migrating to SAP S/4HANA requires clean, deduplicated data. Our data matching solution reduces the time spent on business partner consolidation by 75%, ensuring a faster, smoother transition to SAP S/4HANA.
Data Compliance and Governance
Ensuring GDPR, CCPA, and other regulatory compliance requires high-quality, consolidated data. Our solution helps you identify and merge individual records across different systems, reducing compliance risks and ensuring accurate reporting.
Enhance Customer Experience in SAP
By consolidating duplicate customer records, we create a unified, 360-degree customer view within SAP. This helps you deliver personalized, consistent experiences across touchpoints and improve overall customer satisfaction.
Advanced Analytics within SAP
Leverage advanced analytics to enhance data quality and consistency through optimized SAP data matching processes. This enables faster, more accurate decision-making and reduces operational costs by streamlining inventory management and resource allocation.
Deep Data Profiling & Identification of Duplicates
SAP data matching starts with comprehensive profiling. We scan critical SAP objects (e.g., KNA1 for customer data, LFA1 for vendor data, and MARA for material master) to pinpoint discrepancies, duplicates, and patterns in redundant data. Our tools dive into structured and semi-structured data to ensure no inconsistencies go unnoticed.
- Profile data across multiple SAP tables (like KNVV for sales data and MARC for plant-specific material data) to assess duplication and data health.
- Identify duplicate entries across Business Partners (BP) and Materials in the SAP system using key identifiers like VAT, Tax ID, and customer number.
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Advanced SAP Data Matching Algorithms
The core of SAP data matching is ensuring your records across different modules—whether it’s MM, SD, or FI—are correctly aligned. We use a combination of rule-based matching and machine learning algorithms to identify exact, fuzzy, and near-duplicate matches across key master data objects.
- Utilize match algorithms tuned specifically for SAP’s table structure (e.g., using partner functions in KNVP for customer roles or plant location data in MARC).
- Handle complex matching of hierarchical relationships (e.g., linking customer records from KNA1 with corresponding transactional data in VBAK for sales orders).
- Apply fuzzy logic to handle variations in name fields, address fields, and unstructured comments, ensuring high match accuracy even in free-text fields.
NLP-Powered Data Matching for SAP Unstructured Data
Many SAP environments contain unstructured data embedded in fields like long texts, free-text notes, and descriptions. Our solution goes beyond structured data matching to handle these unstructured data challenges using Natural Language Processing (NLP). We parse and process this data for a deeper level of matching precision.
- Leverage NLP to standardize and match unstructured customer or vendor descriptions, address fields, and product details.
- Set up SAP Information Steward or Data Quality Management (DQM) reports that integrate directly into your SAP environment, delivering continuous data quality insights.
Continuous Data Quality Monitoring & Real-Time Deduplication
Even after an initial round of data matching, ongoing monitoring is key to maintaining data accuracy. In a live SAP system, new records are constantly created, and without proper oversight, duplicates can reappear. We offer real-time monitoring and deduplication that automatically detects and merges duplicates as they enter the system.
- Implement real-time deduplication processes, monitoring key tables like KNA1, LFA1, and MARA to flag potential duplicates instantly upon data entry.
- Identify duplicate entries across Business Partners (BP) and Materials in the SAP system using key identifiers like VAT, Tax
ID, and customer number.
What Makes Artha Advantage for SAP Unique
- Data Profiling: Pre-migration and post-migration our solution performs a thorough profiling of the existing data to identify business rules.
- Data Transformation: The data is automatically transformed and mapped to the target structure, eliminating manual intervention and associated risks.
- Artha’s accelerator reduces migration time from SAP ECC to S/4HANA by 50%, providing faster access to new features.
- Automatic data cleansing and validation minimizes errors, avoiding costly project delays and improving report accuracy.
- Data Consolidation: Our tool consolidates data from different SAP instances, harmonizing records to avoid duplication and inconsistency.
- Golden Record Creation: By matching and merging data, we create a single, authoritative source of truth, which is essential for accurate reporting and analytics.
- Cross-System Compatibility: Ensures that data from various SAP systems can be integrated seamlessly, providing a holistic view of operations.
- Provides a clear, comprehensive view of business operations for informed decisions.
- Eliminates data duplication and inconsistencies, streamlining processes and boosting productivity.
- Selective Data Migration: Enables the migration of specific data sets tailored to different testing scenarios, improving the relevance and effectiveness of tests.
- Issue Debugging: Facilitates detailed testing and debugging in non-production environments without exposing sensitive information, leading to more robust system performance.
- Reduces resource and infrastructure costs by 50%, making the testing process more cost-efficient.
- Allows for thorough testing and debugging without exposing sensitive data, leading to more effective resolution of production issues.
- Continuous Data Replication: Ensures that changes in the source data are continuously replicated to the target environment, keeping the disaster recovery site up-to-date.
- Historical Data Management: Facilitates the migration of both current and historical data, providing a complete dataset for business intelligence and analytics.
- Data Lake Integration: Seamlessly integrates with data lakes and warehouses, enhancing data accessibility and usability for advanced analytics.
- Artha implemented Qlik Replicate to ensure continuous data updates and efficient replication to the client’s disaster recovery site, enhancing data availability and business continuity.
Seamless SAP S/4HANA Migration
A global manufacturing company with operations across multiple continents faced challenges due to an overloaded SAP system. To boost efficiency and support future growth, they required a seamless migration to SAP S/4HANA.
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Events
Feb26 SAP Data Migration in age of Industry 4.0
Wednesday, 26 Feb 11:30 am
Zoom Webinar Platform
Join us for an insightful webinar on "SAP Data Modernization - A Journey Towards S/4HANA in Industry 4.0," where industry leaders will explore how businesses can leverage cloud integration, IoT sensors, and modernized databases to prepare for a seamless migration to S/4HANA.
Speakers
Feb20 SAP Data Modernization and S/4HANA Migration
Thursday, 20 Feb 5:00 pm
Zoom Webinar Platform
Join us for an insightful webinar on "SAP Data Modernization - A Journey Towards S/4HANA in Industry 4.0," where industry leaders will explore how businesses can leverage cloud integration, IoT sensors, and modernized databases to prepare for a seamless migration to S/4HANA.
Speakers
SAP Data Governance in S/4HANA
Wednesday, 12 Feb 10:30 am
Zoom Webinar Platform
Join us for an insightful webinar on "SAP Data Modernization - A Journey Towards S/4HANA in Industry 4.0," where industry leaders will explore how businesses can leverage cloud integration, IoT sensors, and modernized databases to prepare for a seamless migration to S/4HANA.
Register Now!
Compliance & Customer Centricity: Optimizing Data for Retail Industry
Thursday, 12 Dec 3:00 pm
Hilton Garden Inn Singapore, Serangoon
Master the ins and outs of data regulations, ensuring your business stays ahead of the curve.
Qlik AI Reality Tour – Delhi Sponsored by Artha Solutions
Friday, 29 Nov 6:30 pm
Radisson Blu Plaza Hotel, Delhi Airport, New Delhi
Master the ins and outs of data regulations, ensuring your business stays ahead of the curve.
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