BluePes Blog: Insights & Trends

When Different Teams Trust Different Numbers: A Structural Data Problem

This article is relevant for organisations that rely on reporting for planning, forecasting, and accountability across teams. It addresses a common issue that appears once data starts influencing decisions beyond local team use. When Finance, Operations, and Product report different numbers for the same KPI, the problem is rarely caused by missing tools or broken dashboards. In most cases, it is the result of how metrics were introduced, defined, and scaled over time.

• 2026-02-23
• 10 min

Using Boomi to Reduce Financial Data Inconsistencies Across Systems

This article is relevant for CFOs, finance leaders, CTOs, and operations teams responsible for financial reporting and system integrations. In many organisations, financial systems do not collapse or produce obvious errors. Payments are processed, accounting entries are recorded, and data flows between platforms. The difficulty becomes visible later, when finance teams prepare reconciliations, management reports, or audit documentation and discover that figures from accounting software, payment providers, and reporting tools require manual alignment. The root of this issue lies in how financial data moves and is updated across systems over time. Differences in processing order, partial updates, retries, or timing gaps can alter financial outcomes without triggering technical failures. Integrations connect systems, but they do not automatically enforce consistency in financial logic. This article examines why financial inconsistencies emerge in integrated environments and outlines structured integration approaches, including iPaaS platforms such as Boomi, that help reduce operational and compliance risk.

• 2026-02-16
• 10 min

Integration Observability with Boomi: Monitoring, Traceability, and Operational Control

Most integration problems do not start with errors. Systems remain available, APIs respond, and scheduled jobs continue to run. From a technical perspective, everything appears stable. The first signs of trouble usually come from the business side. Reports do not match. Data arrives later than expected. Teams begin adding manual checks to confirm whether processes are actually completed. These symptoms indicate a gap between system monitoring and the real state of integration flows. This is where integration observability becomes relevant. It focuses on understanding whether end-to-end integration processes complete as intended, not only whether individual systems are operational.

• 2026-02-09
• 10 min

Boomi for eCommerce Integration: ERP, Marketplaces, Payments, and BI

eCommerce platforms rarely encounter scaling problems at the storefront level. Modern UI frameworks and SaaS tools handle traffic growth relatively well. The real complexity appears behind the scenes, where multiple systems must exchange data accurately and in near real time. Orders, payments, inventory updates, fulfillment statuses, and financial data all move across different platforms. When eCommerce system integration is built without a long-term structure, operational issues emerge gradually. At first, they appear as small delays or manual checks. Over time, they turn into recurring reconciliation work and reporting inconsistencies. This is why eCommerce integration architecture becomes a critical factor during growth. Integration reliability directly affects revenue recognition, customer experience, and operational efficiency.

• 2026-02-02
• 10 min

Healthcare System Integration with Boomi: Connecting EHR, Labs, Billing, and Analytics

Healthcare organizations operate in environments where multiple systems must exchange data continuously and reliably. Clinical workflows, laboratory operations, billing processes, insurance validation, and analytics all depend on accurate and timely data movement across platforms. Most healthcare integration issues do not appear during initial implementation. Systems connect, data flows are tested, and early results seem stable. Problems usually surface later, when transaction volumes increase, workflows change, or new systems are introduced. At that point, system integration becomes an operational dependency rather than a technical detail. Industry standards help align data formats, but they do not solve orchestration, monitoring, and long-term reliability. As healthcare platforms scale, the way healthcare system integration is structured determines whether growth leads to stability or recurring operational friction.

• 2026-01-26
• 10 min

Building Predictable BI Environments in 2026: Cost Control and Consistent Logic Across Fabric and Quick Suite

The final months of 2025 showed how important predictability became in BI environments. Teams working with Power BI Fabric and AWS Quick Suite reviewed cost behaviour, refreshed documentation standards and aligned metric logic to avoid unexpected changes in dashboards. As reporting workloads expand in 2026, predictable behaviour — both in costs and in metric logic — becomes a central requirement for mid-market companies. This article summarises practices that help organisations maintain stable reporting, reduce budget surprises and ensure that technical and business teams interpret data consistently. The examples referenced come from Microsoft and AWS documentation as well as public case studies shared throughout 2024–2025.

• 2026-01-19
• 10 min

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.

• 2026-01-12
• 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.

• 2026-01-05
• 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.

• 2025-12-29
• 10 min