Data Driven Manufacturing with Dynamics 365 Finance & Operations: Tackling the Biggest Data Challenges

In today’s rapidly evolving manufacturing landscape, the effective use of data can be a game-changer. Leveraging tools like Dynamics 365 Finance & Operations can help organizations better manage their data, integrate their systems, and streamline their processes.

Organizations need to leverage the data they’ve collected and develop robust data governance strategies and data journeys. This blog article delves into the challenges and solutions for data-driven manufacturing and provides insights into how to achieve that from the Encore team and the STAEDEAN (formerly known as To-Increase) team.

Note: Even though most customers, commentators, and consultants still call it Dynamics 365 Finance & Operations or D365FO, Microsoft now technically licenses it as Dynamics 365 Finance and Supply Chain Management.

Challenges in Data-Driven Manufacturing

Organizations face several challenges in utilizing their data effectively. Some of these include:

• Data Security and Compliance: Ensuring data security and compliance is crucial, especially for organizations with government regulatory requirements.
• Data Integration: Integrating data from various systems, such as CAD and PLM, into Dynamics 365 can be complex but is essential for streamlined operations.
• Data Quality: Maintaining data quality is critical. Manual data entry can lead to errors, which affects the overall data integrity.
• Data Silos: Integrating data from disparate systems like CAD and ERP to ensure consistent and accurate information across departments.
• Data Governance: Implementing effective data governance to manage data quality, duplication, and reporting consistency across multiple legal entities and regions.
• Migration to Modern Systems: Transitioning from legacy systems to cloud-based solutions like Dynamics 365 while maintaining data integrity and accuracy.
• Automation and Integration: Automating workflows and integrating systems to reduce manual processes and improve data quality.
• Utilizing Advanced Technologies: Leveraging AI and analytics to capitalize on data, requiring a well-structured data foundation.

Watch this brief video about the major challenges in the manufacturing industry today:

Security and Data Migration

Our experts emphasize the importance of integrating security and data migration plans from the project’s inception. Automating data migration processes ensures smoother transitions and maintains data integrity across systems.

Data Silos and Integration

Issues can arise from data silos, particularly between engineering and financial systems. Integrating PLM systems with Dynamics 365 is essential for accurate data flow and reducing manual data entry errors.

The video below delves into the challenges seen when your PLM system and Dynamics 365 Finance & Operations are siloed:

Data Governance and Strategy

A robust data governance strategy includes managing duplicates, ensuring data quality, and maintaining consistency across multiple legal entities. This strategy is vital for organizations with complex international operations. Integrating various systems, such as PLM, CAD, and ERP, is crucial for reducing manual data entry, minimizing errors, and ensuring data consistency.

Ensuring that only authorized personnel have access to data is paramount, especially with the increasing threat of cyber-attacks. Moving useful historical data to a new environment is essential, and this process should be automated and planned from the start of any ERP project.

The video below shows what challenges an organization can expect when they don’t have a data governance strategy:

Effective data governance is key to overcoming these challenges. The overall goal is to create a unified data strategy that allows for accurate reporting, efficient operations, and the ability to leverage advanced technologies like AI and analytics.

Data Maturity Journey

Organizations progress through stages of data maturity, starting with security and moving through migration, governance, and integration, ultimately achieving advanced analytics and AI capabilities.

An organization’s journey to fully utilizing their data involves several stages:

• Security: Ensuring data security is the first priority.
• Migration: Migrating useful historical data to new environments.
• Governance: Keeping data accurate and integrated across all systems.
• Analytics and AI: Fully capitalizing on data for analytics and AI applications.

See this short video about what an end-to-end data maturity journey looks like for manufacturers:

By leveraging Dynamics 365 Finance & Operations and developing a robust data strategy, organizations can overcome challenges and take full advantage of their data. This, in turn, can lead to improved operational efficiency and better decision-making.

For more information or to discuss your data challenges, please reach out to our team. We are here to help you navigate your data journey and achieve your manufacturing goals.