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Unicota to Power BI

Unicota to Power BI

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Uniconta to Power BI – if you’ve tried building a Power BI dashboard from Uniconta data, you’ve probably hit a wall somewhere between OData endpoints and refresh limits. Here’s how to actually make it work.

Uniconta is a cloud-based ERP used by over 45,000 companies across 67 countries, with especially strong adoption in Denmark, Germany, the Netherlands, and Iceland. Founded in 2015 by Erik Damgaard – the same mind behind Navision and Axapta – Uniconta packs serious accounting, inventory, project management, and CRM functionality into a modern cloud platform.

But when finance teams need to move beyond Uniconta’s built-in dashboards and into Power BI for cross-source reporting, things get complicated fast. The OData feed works in theory. In practice, it comes with refresh caps, query limitations, and zero support for combining Uniconta data with your CRM, marketing tools, or other accounting systems.

This guide walks through three approaches to getting Uniconta data into Power BI – from the native OData route to a data warehouse approach that actually scales.

What data lives in Uniconta

Uniconta stores the financial and operational backbone of your business. That includes general ledger entries, accounts receivable and payable, journal postings, VAT reporting data, bank reconciliations, and multi-company consolidation records. Beyond pure accounting, you’ll find sales orders, purchase orders, inventory movements, production planning data, project time entries, and CRM contacts.

For Power BI reporting, the most valuable tables are typically debtor (customer) transactions, creditor (supplier) transactions, inventory valuations, project profitability data, and the general ledger itself. Uniconta exposes these through its OData endpoints at odata.uniconta.com, but the structure isn’t always BI-ready – transaction tables support only basic query operations, and relationships between entities often need manual modeling.

Why the direct OData connection falls short

Uniconta offers an OData feed that Power BI can consume directly. You navigate to Get Data, select OData Feed, enter the endpoint URL, and authenticate with your Uniconta credentials. It works – for about a week. Then the limitations start stacking up.

Common pain points with direct OData connections

Refresh limits: Data updates are capped at 8 refreshes per day on Power BI Pro. If your finance team needs fresher numbers, you’re stuck unless you upgrade to Premium.
No incremental refresh: Every refresh pulls the entire dataset again. As your Uniconta history grows, refresh times balloon from minutes to hours.
Limited query support: Transaction tables only support basic operations. Complex filtering, joins, or aggregations have to happen inside Power BI, which slows everything down.
Single-source limitation: The OData feed only covers Uniconta. Combining it with HubSpot CRM data, Google Ads spend, or a second ERP means building separate pipelines and managing relationships manually in Power BI.
API deprecation risk: Uniconta is gradually replacing the OData API with a new Web API. Existing OData integrations will need to be migrated eventually – building directly on OData means building on a moving foundation.

For a single-user dashboard with a few hundred transactions, the direct connection is fine. But the moment you need multi-company consolidation, cross-source analytics, or reliable daily reporting for a finance team, the OData-to-Power-BI path starts breaking down.

The data warehouse approach – connect Uniconta to Power BI through a central hub

Instead of pointing Power BI directly at Uniconta’s OData feed, the more robust approach is to replicate Uniconta data into a data warehouse first, then connect Power BI to the warehouse. This decouples your reporting layer from your source system and gives you a clean, query-optimized dataset to work with.

With Peliqan, the setup takes about 10 minutes. The platform includes a pre-built Uniconta connector that handles authentication, schema mapping, and incremental syncs automatically.

How it works with Peliqan

Step 1 – Connect Uniconta: Add a Uniconta connection in Peliqan using a Server User’s credentials. Peliqan creates one table per object type – debtors, creditors, GL entries, invoices, inventory – and syncs incrementally.
Step 2 – Transform your data: Use SQL or low-code Python inside Peliqan to clean, join, and reshape your data. Build materialized views for common reporting needs like aged receivables, monthly P&L, or project profitability.
Step 3 – Connect Power BI: Point Power BI at Peliqan’s built-in Postgres warehouse using a standard database connector. Your data model is already clean and join-ready – no more wrestling with OData quirks.
Step 4 – Add more sources: Connect your CRM, marketing tools, or a second ERP to the same warehouse. Combine Uniconta financials with HubSpot pipeline data or Google Analytics traffic in a single Power BI report.

Because Peliqan handles the sync and transformation layer, Power BI only needs to query a well-structured Postgres database. Refreshes are faster, data models are cleaner, and you’re not dependent on Uniconta’s OData API availability or rate limits.

Peliqan’s built-in warehouse runs on Postgres with Trino for federated queries, supports materialized tables for heavy reporting workloads, and includes 250+ connectors with a 48-hour custom connector SLA. Pricing starts at roughly $199/month – often less than the engineering time you’d spend maintaining a custom OData pipeline.

Connecting Power BI to the Peliqan warehouse

Once your Uniconta data is syncing to Peliqan, connecting Power BI is straightforward. In Power BI Desktop, select Get Data, choose PostgreSQL Database, and enter the connection credentials from your Peliqan Power BI settings. You’ll see all your Uniconta tables plus any transformed views you’ve built – ready for drag-and-drop dashboard creation.

This approach also opens up Peliqan’s reverse ETL capabilities. Need to push Power BI insights back into Uniconta – like updating customer segments or flagging overdue invoices? Peliqan supports writeback to Uniconta, including creating invoices, updating debtor records, and managing creditor data through low-code Python scripts.

Real-world example: CIC Hospitality

CIC Hospitality unified fragmented data from 50+ sources into real-time, board-level reports using Peliqan – eliminating manual Excel consolidation and saving 30+ hours per month on reporting. The same warehouse-first approach works for Uniconta users who need consolidated financial dashboards across multiple companies or data sources. Read the full case study.

Skip Power BI entirely – query Uniconta data with AI

Not every question needs a dashboard. With MCP (Model Context Protocol), you can connect Uniconta data directly to AI assistants like Claude or ChatGPT and ask questions in plain English.

Peliqan provides an MCP server that connects to your Uniconta data through the same warehouse sync. You can set up the Uniconta MCP connection in minutes. Once running, you can ask questions like:

  • “What’s our total revenue this quarter compared to last quarter?”
  • “Which debtors have outstanding invoices over 60 days?”
  • “Show me the top 10 products by sales volume this month”
  • “What’s our cash position across all three companies?”

The AI agent queries your warehouse directly, so you’re always working with the same governed, quality-checked data your Power BI dashboards use. For ad hoc finance questions that don’t warrant a full dashboard build, this approach saves hours of report creation time.

Comparing your options

Method Setup effort Real-time? BI-ready? AI-ready? Best for
Uniconta dashboards None Yes No No Quick KPI checks within Uniconta
Direct OData to Power BI Medium 8x/day max Partial No Single-user, single-source dashboards
Data warehouse (Peliqan) Low Scheduled syncs Yes Yes Multi-source reporting, team dashboards
AI via MCP Low Yes No (conversational) Yes Ad hoc finance questions, non-technical users

Combine Uniconta with other data sources in one dashboard

The real power of the warehouse approach shows up when you start combining Uniconta data with other systems. Finance teams rarely work with ERP data in isolation – they need CRM pipeline data to forecast revenue, marketing spend data to calculate ROI, and sometimes data from a second ERP when managing multiple entities.

With Peliqan’s 250+ connectors, you can bring Uniconta and Excel data together, sync Uniconta with your CRM, or consolidate multiple Uniconta companies into a single reporting layer. Everything lands in the same warehouse, governed by the same access controls and transformation logic.

Popular Uniconta combinations in Power BI

  • Uniconta + HubSpot: Match invoice data with deal stages to see actual vs. projected revenue by sales rep
  • Uniconta + Exact Online: Consolidate financials across entities using different ERPs into one Power BI report
  • Uniconta + Google Ads: Calculate true customer acquisition cost by joining marketing spend with Uniconta revenue data
  • Uniconta + Sharepoint: Combine financial data with project documentation for complete project profitability views

Getting started

If you’re currently struggling with Uniconta’s OData feed in Power BI – slow refreshes, missing relationships, or the inability to combine sources – the warehouse approach solves these problems without requiring any API development work.

Peliqan offers a free trial with the Uniconta connector included. Connect your Uniconta instance, explore your data in Peliqan’s spreadsheet-style UI, build your transformations, and plug in Power BI – all within a single platform. SOC 2 Type II certified, fixed pricing from ~$199/month, and a 2-week SLA for custom connector requests if you need something beyond the standard 250+ integrations.

For teams already using Power BI with other data sources, adding Uniconta to an existing Peliqan-to-Power-BI setup is just one more connector toggle. Your existing data models and dashboards stay intact – you’re simply adding another source to the warehouse.

FAQs

Yes, Uniconta exposes an OData feed at odata.uniconta.com that Power BI can consume via Get Data > OData Feed. However, this direct connection is limited to 8 refreshes per day on Power BI Pro, pulls full datasets on each refresh, and only covers Uniconta data – making it impractical for multi-source reporting.

You can access general ledger entries, debtor and creditor transactions, invoices, inventory movements, sales and purchase orders, project time entries, and CRM contacts. The OData endpoints expose most Uniconta object types, though transaction tables only support basic query operations.

By replicating Uniconta data into a warehouse first, you get incremental syncs instead of full refreshes, SQL-based transformations for BI-ready data models, and the ability to combine Uniconta with 250+ other data sources in a single Power BI dashboard. Power BI connects to a clean Postgres database rather than wrestling with OData limitations.

Yes. Using MCP (Model Context Protocol), you can connect Uniconta data to AI assistants like Claude or ChatGPT and ask financial questions in plain English – such as “Which debtors have overdue invoices?” The AI queries the same warehouse your dashboards use, so the data is always consistent and governed.

Author Profile

Revanth Periyasamy

Revanth Periyasamy is a process-driven marketing leader with over 5+ years of full-funnel expertise. As Peliqan’s Senior Marketing Manager, he spearheads martech, demand generation, product marketing, SEO, and branding initiatives. With a data-driven mindset and hands-on approach, Revanth consistently drives exceptional results.

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