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Why The Most Technically Perfect S/4HANA Migration Fails Without Governance?

Introduction – Migration to S/4 HANA Migrating to SAP S/4HANA offers multiple benefits for your business, including faster analytics, simplified data architecture, real-time data solutions, optimized performance, and more. Also, the number of migrations has accelerated lately. According to a research report on SAP processes and automation, 59% of companies globally have adopted SAP S/4HANA, either fully or partially, an increase of 13% points from 2024. Such an upsurge is driven by SAP’s 2027 deadline, when it ends mainstream maintenance for Business Suite 7, including SAP ECC 6. Today, the end of 2027 might seem distant. Yet, a seamless migration requires proper preparation to avoid hurdles such as increased downtime due to a large database, regulatory compliance documentation requirements, or challenges in decommissioning legacy systems. After all, while there is an along with the potential for significant gains, the migration is also vulnerable to catastrophic setbacks. Technology ...

How SimpleMDG Accelerates Clean Data in Just 12 Weeks

Data the New Gold Data is the backbone of corporate success in the current world of Artificial Intelligence [AI] and Machine Learning [ML]. AI models are trained on massive datasets before they can function effectively. However, the data feeding the AI needs to be clean and hygienic. Bad data is quietly draining revenue from businesses globally. As per a report on Forbes, Gartner assessed that wasted resources and lost opportunities due to poor data quality cost organizations $12.9 million every year, while Harvard Business Review estimated that bad data costs the US economy $3 trillion annually. How Bad Data Affects Businesses Globally? Bad data leads to crucial inaccuracies that impact business decisions and customer experience. Most organizations today are adopting AI for operational and performance efficiency without ensuring that they have a strong foundation. Today, a whopping 94% of organizations are unsure of the reliability and accuracy of their customer and prospect data. Bad...