Oztera is a specialized technology solutions provider focused on delivering comprehensive Microsoft Dynamics 365 and Power Platform services. With a strong emphasis on Business Central, Oztera caters to the food and beverage, manufacturing, and wholesale distribution industries. The company offers a range of services including ERP implementation, custom development, system integration, cloud migration, and ongoing support. By leveraging Microsoft Azure and Power BI, Oztera enhances business operations through advanced analytics and cloud solutions. Their expertise in tailoring solutions to meet industry-specific needs makes them a trusted partner for businesses looking to optimize their processes and drive growth. Oztera's commitment to innovation and customer satisfaction positions them as a leader in delivering effective and efficient technology solutions.
Cloud ERPFeb 24, 2026For: IT managers and business leaders considering cloud ERP solutions
The Cloud ERP shared responsibility model clarifies accountability, dividing it among providers, ERP partners, and customers. While cloud ERP eliminates infrastructure ownership, it requires customers to manage data governance, security, and integration oversight. Defining clear roles across IT, finance, and operations is essential to avoid risks and ensure smooth implementation.
Key takeaways
–The Cloud ERP shared responsibility model divides accountability between the provider, the ERP partner, and the customer, debunking the myth that cloud ERP eliminates IT roles.
–Customers retain critical responsibilities such as data governance and identity management, which are crucial for maintaining security and compliance.
–Defining roles clearly within IT, finance, and operations ensures smoother ERP implementations and minimizes risks associated with accountability gaps.
–Successful cloud ERP deployment requires early IT involvement as a strategic partner, not an afterthought.
Dynamics 365 Business CentralFeb 10, 2026For: IT managers evaluating ERP performance
AI-driven performance tuning in Dynamics 365 Business Central utilizes telemetry and AI algorithms to identify performance shifts and predict issues before they impact users. This proactive approach ensures systems remain responsive by forecasting load spikes and bottlenecks, allowing teams to make early adjustments. By analyzing system behavior rather than individual user data, performance optimization promotes system health and operational efficiency.
Key takeaways
–AI-driven performance tuning in Dynamics 365 Business Central uses performance monitoring and AI optimization routines to detect and address system shifts before users experience issues.
–Telemetry data serves as the observability layer, providing high-fidelity signals that AI systems analyze for performance optimization.
–AI-powered predictive analytics can forecast system loads, identify bottlenecks, and guide proactive adjustments to prevent user impact.
–System optimization focuses on operational signals rather than monitoring individual employee activity, ensuring focus on system health and governance.
Dynamics 365 Business CentralDec 17, 2025For: Finance professionals using Microsoft Dynamics 365 Business Central
AI in Dynamics 365 Business Central transforms accounts receivable by automating tasks and predicting late payments, significantly reducing Days Sales Outstanding (DSO). By using tools like Microsoft Copilot and Power BI, finance teams can gain actionable insights, focus efforts where they matter most, and enhance cash flow predictability. This makes AI a strategic asset for companies aiming to navigate complex financial landscapes efficiently.
Key takeaways
–AI in Dynamics 365 Business Central enhances accounts receivable by automating routine tasks and predicting late payments.
–AI tools like Microsoft Copilot and Power BI provide actionable insights and help reduce Days Sales Outstanding (DSO).
–The implementation of AI leads to faster collections and improved cash flow predictions.
–Preparing clean data and clear processes is essential to maximize the ROI of AI solutions.