
BluePes Blog: Insights & Trends

Designing BI Systems for Unpredictability: What 2025 Taught the Industry
In 2025, BI teams worked through a wide range of changes in their reporting environments. Power BI Fabric expanded its semantic model capabilities, lineage views and Lakehouse refresh logic. AWS Quick Suite improved dataset governance, SPICE capacity handling and diagnostics for refresh behaviour. These updates revealed how BI systems react when upstream data shifts, when refreshes fail or when business rules evolve quickly. This article summarises practical ways mid-market organisations prepare their BI systems to handle unpredictable conditions in 2026. The examples referenced come from Microsoft and AWS documentation as well as case studies shared publicly in 2024–2025.
- Jan 12, 2026
- 10 min

Aligning BA, Engineering, and Business Teams for 2026 BI Workloads
In 2025, BI environments changed due to new governance features, expanded semantic models and more transparent refresh behaviour across Power BI Fabric and AWS Quick Suite. These updates highlighted how easily reporting workflows break when teams operate with different assumptions about data, definitions or dependencies. Clear alignment between Business Analysts, engineering teams and business stakeholders became essential for predictable reporting cycles. This article summarises practical alignment practices based on public Microsoft and AWS documentation and case studies published in 2024–2025. The goal is to show how BI teams can prepare their processes for larger workloads in 2026 without losing reporting stability.
- Jan 05, 2026
- 10 min

BI Readiness for 2026: Governance, Lineage, and Cost Control
BI readiness became a priority for mid-market companies in 2025. Updates in Power BI Fabric and AWS Quick Suite introduced clearer governance rules, more detailed lineage tracking and more transparent refresh behaviour. These improvements highlighted the areas that require preparation before reporting workloads expand in 2026. This article summarises practical steps that help organisations stabilise governance, control costs and maintain consistent reporting across departments. The examples referenced come from public Microsoft and AWS documentation as well as several case studies published during 2024–2025.
- Dec 29, 2025
- 10 min

Data Quality Rules for 2026: What Mid-Market Companies Must Prepare Now
Data quality became a central focus for BI teams in 2025. Power BI Fabric expanded lineage visibility and semantic model controls, while AWS Quick Suite introduced updates to dataset governance, refresh tracking and SPICE capacity behaviour. These changes shaped clearer expectations for how datasets should be validated before downstream dashboards rely on them. This article summarises practical data quality rules that mid-market companies apply to keep reporting flows stable as datasets grow and as more departments depend on shared metrics. Public examples referenced throughout this article come from Microsoft, AWS and mid-market organisations that shared their cases in 2024–2025.
- Dec 22, 2025
- 10 min

How Business Analysts Design Scalable Reporting Flows in 2025–2026 (Quick Suite and Power BI Fabric)
In 2025, reporting workflows changed due to updates in Power BI Fabric and AWS Quick Suite. Teams revised how they define metrics, structure datasets, manage permissions, and validate data before dashboards reach stakeholders. This article summarises practical methods used by Business Analysts in mid-market companies to keep reporting flows predictable when datasets grow and when more teams depend on shared dashboards. All examples are based on publicly available information from Microsoft and AWS, as well as industry case studies published in 2024–2025.
- Dec 15, 2025
- 10 min

Scaling and Operating High-Load Integrations in Boomi: Molecules, Monitoring, and Runtime Optimization
Enterprise integration workloads grow year after year. As the number of systems increases and data exchange becomes continuous, single-node integration runtimes reach their limits. Processes take longer to finish, queues expand, retries multiply, and routine deployments begin to create operational risk. Boomi offers the tools to avoid this degradation. Molecules enable horizontal scalability, performance tuning improves throughput, and monitoring provides visibility that keeps distributed integrations stable. This article explains how these components work together and how organizations can operate Boomi effectively under high load.
- Dec 08, 2025
- 10 min

Hybrid Integration Architecture with Boomi: Building Resilience Across Cloud and On-Prem Systems
Enterprises rarely run entirely in the cloud. Critical data still resides in legacy databases, ERP systems, and on-prem applications that cannot easily migrate. A hybrid integration architecture allows organizations to connect both worlds - combining the flexibility of cloud services with the reliability of local infrastructure. Boomi’s platform plays a central role in this setup. It supports secure, event-based communication between on-prem and cloud systems, enabling real-time data exchange without compromising governance or performance. This article outlines how hybrid integration works in practice, the architecture patterns it uses, and the benefits it brings to modern enterprises.
- Dec 01, 2025
- 10 min

API Governance in the Boomi Era: Best Practices
API governance defines how an organization designs, secures, and manages the lifecycle of its interfaces. Without consistent rules, APIs grow unevenly, security policies diverge, and documentation becomes outdated. Boomi’s API Management module provides a structured approach to governance, making it possible to apply uniform standards across multiple environments. This article reviews the main components of API governance, practical implementation steps in Boomi, and several examples from real enterprise projects.
- Nov 24, 2025
- 10 min

Boomi and Agentic AI: Connecting Data, Automation, and Integration
Agentic AI is becoming part of business automation. These intelligent agents can perform actions, monitor systems, and make decisions based on objectives and contextual data. Their effectiveness depends on access to consistent and current information from enterprise systems. Integration plays a central role in that process. Boomi’s iPaaS platform connects applications, APIs, and data sources while ensuring data quality and governance. The platform now supports new automation models where AI agents can operate on top of a reliable integration layer.
- Nov 17, 2025
- 10 min