Data & Analytics: Edge Intelligence and Trusted KPIs
Lakehouses, semantic layers, and edge analytics helped leaders see operational reality in near real time in 2025.
Data and analytics in 2025 moved from dashboards alone to trusted, near-real-time decision support. Finance, operations, and product teams expected definitions everyone agreed on — and pipelines that refreshed without silent failures.
Modern data stacks
Cloud data warehouses and lakehouse platforms simplified large-scale storage. dbt and analytics engineering practices kept transformations tested in version control. Power BI and semantic layers gave business users self-service without bypassing governance. Streaming pipelines fed operational alerts alongside historical reporting.
Edge analytics and SLMs
Edge AI brought inference closer to sensors, retail endpoints, and mobile fleets — reducing round trips and keeping sensitive data local. Small language models summarised operational logs and support transcripts inside secure boundaries, complementing traditional SQL analytics rather than replacing them.
Data quality and governance
Master data management, column-level lineage, and role-based access reduced conflicting KPIs across departments. GDPR and the EU AI Act required knowing who could see personal data and how automated insights were produced. Certified datasets became the norm; ad hoc exports slowed.
PrequaliQ helps organisations connect source systems, model data responsibly, and build reporting that teams actually use — not shelf-ware.