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Among other things, we inform you about successful customer projects, industry-relevant topics, and how DataLark works.

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Data Quality Monitoring: A Practical Guide for Modern Data Environments

Mar 23, 2026

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24 min read

Learn how to implement data quality monitoring in modern data environments. Explore key components, automation, and best practices.

SAP E-commerce Integration: Architecture & Data Flows

Mar 20, 2026

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21 min read

Explore SAP E-commerce integration, including architecture, key data flows, common pitfalls, and best practices for reliable data synchronization.

SAP R/3 vs. SAP S/4HANA: Key Differences, Architecture, and Migration Considerations

Mar 17, 2026

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28 min read

Learn the key differences between SAP R/3 and SAP S/4HANA, including architecture, data models, performance, and migration considerations.

SAP PLM Migration to S/4HANA: Case Study & Lessons Learned

Mar 11, 2026

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20 min read

A practical guide to SAP PLM migration from ECC to S/4HANA — learn best practices based on a large-scale engineering data migration project.

Data Readiness Assessment: A Complete Guide for SAP and Enterprise Transformation Projects

Mar 04, 2026

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26 min read

Learn how to conduct a data readiness assessment for SAP transformation and AI initiatives, with framework, checklist, and automation best practices.

Master Data Management
Product Master Data Management: How to Build a Single Source of Truth Across Enterprise Systems

Feb 27, 2026

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16 min read

Learn how to build a single source of truth for product master data across enterprise systems with a scalable data model and strong governance.

What It Really Takes to Migrate Multiple Legacy ERPs to SAP S/4HANA

Feb 20, 2026

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14 min read

Discover what it takes to consolidate multiple ERPs into SAP S/4HANA — from data harmonization to validation, governance, and controlled execution.

Master Data Management
SAP Data Archiving: Process, Solutions, & Best Practices

Feb 13, 2026

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23 min read

Learn how SAP data archiving works, explore SAP data archiving solutions, and understand the SAP data archiving process in S/4HANA.

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