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The Peliqan blog

Your go-to resource for data-driven success. Peliqan’s blog equips you with the knowledge to optimize your data strategy.

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ChatGPT MCP: plans, setup and what breaks in 2026

ChatGPT MCP means connecting ChatGPT to your own systems through the Model Context Protocol, so it can query your ledger, your CRM or your data warehouse instead of guessing. The

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Invoice reconciliation software: what it does and where it stops

Invoice reconciliation software solved one problem well: matching an invoice to a purchase order and a receipt inside a single procurement workflow. The reconciliations that still eat days are the

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How to build an MCP server for EU accounting software

Most guides on how to build an MCP server stop at a weather API and a stdio transport. That is enough to see the protocol work, and nowhere near enough

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Self-service analytics: what it takes to actually work

Self-service analytics means the person who needs an answer can get it themselves, instead of asking the data team and waiting. The idea is thirty years old. Most rollouts stall

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12 Best Workflow Automation Tools Compared (2026)

Workflow automation tools connect your apps and run multi-step processes without manual work. This guide compares 12 workflow automation tools on pricing, technical depth and where each one breaks, including

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12 Best Embedded Analytics Tools for SaaS in 2026

Embedded analytics tools let you put dashboards, reports and charts inside your own product, so your customers get insights without ever leaving your app. This guide compares 12 embedded analytics

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Financial close automation: what can actually be automated

Financial close automation is usually sold as workflow software: task lists, sign-offs, status dashboards. Useful, and not where the time actually goes. This covers what can genuinely be automated in

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Exact Online API: divisions, rate limits and what breaks

The Exact Online API is well documented and still catches people out, because the things that break in production are not the things the reference pages cover. This guide is

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AI for accountants: what it does and what it fails at

Most writing about AI for accountants is survey data and vendor promises. This one is built from more than 5,000 production tool calls made by real finance teams and accounting

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AI-ready data: what it means and how to tell if yours is

AI-ready data is data an AI system can reach, read and rely on without a human standing behind it vouching for the answer. Most definitions stop at quality and governance.

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Sales forecast accuracy: fix the input, not the formula

Sales forecast accuracy measures how close your forecast lands to what actually closed, usually expressing it as MAPE. The formula is the easy part. In Peliqan’s production data, where AI

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Bank reconciliation automation: the hard cases

Bank reconciliation automation matches the lines on your bank statement to the entries in your ledger without a person doing it by hand. Rules handle the easy majority. AI has

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