
AFAS to Power BI: methods, limitations, and dwh approach
If you’re one of the 14,000+ organisations running AFAS Profit and you’ve started trying to build a Power BI dashboard from your ERP data, you’ve probably hit a wall. The
Your go-to resource for data-driven success. Peliqan’s blog equips you with the knowledge to optimize your data strategy.

If you’re one of the 14,000+ organisations running AFAS Profit and you’ve started trying to build a Power BI dashboard from your ERP data, you’ve probably hit a wall. The

Your firm runs on AdminPulse. Time entries go in, invoices go out, client files stay organized, and AML checks happen on schedule. But when the partners ask “which clients are

You picked Cin7 Omni to unify your inventory across warehouses, sales channels, and fulfillment partners. The platform handles orders, purchasing, and stock movements well enough – but the moment you

Data governance best practices are the organizational frameworks, policies, roles, and processes that ensure data is managed as a strategic asset – accurate, secure, accessible, and compliant – across every

Agentic data pipelines use AI agents to autonomously ingest, transform, validate, and orchestrate data flows – replacing brittle, rule-based ETL with adaptive, self-healing workflows. This guide covers how they work,

The data integration market is experiencing a transformative growth cycle driven by AI adoption, cloud migration, and the urgent need to break down enterprise data silos – here are the

A data migration guide provides the structured framework organizations need to move data, schemas, and workloads from legacy warehouses to modern platforms – without losing data integrity, breaking downstream analytics,

Data quality best practices are the systematic processes, standards, and cultural habits that ensure your organization’s data is accurate, complete, consistent, and fit for its intended purpose – from operational

dbt (data build tool) revolutionized SQL-based data transformation – but after the Fivetran-dbt Labs merger, shifting pricing models, and growing vendor lock-in concerns, many teams are evaluating alternatives. Here’s a

The modern data stack promised simplicity. Instead, most data teams ended up with three separate tools – Airbyte for ingestion, dbt for transformation, and Census for activation – each with

Claude, ChatGPT, and Cursor are powerful – but only as smart as the data they can reach. Most teams are still copying and pasting CRM screenshots into a chat window.

The modern data stack promises everything and delivers complexity. In this walkthrough, we build a full ELT pipeline – HubSpot, Stripe, and PostgreSQL into a data warehouse, transformed into a
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