Nixi ConsultingNixi Consulting

Your company's data, turned into business value.

Data analysis, management reporting, workflow and AI automation for small and mid-sized businesses, with a financial controller's mindset.

Services

From data and systems audits through data visualization to training.

Audit

A quick, fixed-price snapshot of what works well, what is slow, and what is risky in your reports and the processes behind them. It ends with a written report and a prioritized to-do list.

  • Finance process auditMapping the manual steps in reporting and month-end close: what can be automated, and how much time it gives back.1 week · written report
  • Report and data model auditA review of your existing Power BI reports: data model, correctness of calculations, refresh time, usability.1-2 weeks
  • Power BI security auditA check of permissions, row-level security, sharing and workspaces: who sees what, and whether they should.1 week

Audit

A quick, fixed-price snapshot of what works well, what is slow, and what is risky in your reports and the processes behind them. It ends with a written report and a prioritized to-do list.

  • Mapping the manual steps in reporting and month-end close: what can be automated, and how much time it gives back.

  • A review of your existing Power BI reports: data model, correctness of calculations, refresh time, usability.

  • A check of permissions, row-level security, sharing and workspaces: who sees what, and whether they should.

Strategic advisory

Decision support before you spend money on tools or development. We look at it from a controller's side: what needs measuring, and with what.

  • Which metrics management decisions need, who looks at them, how often, and where the data comes from.

  • Power BI, Fabric, or is Excel enough? Needs assessment, cost estimate and an independent recommendation.

  • Where the data should live, who owns it, and in what order to build over the next year or two.

  • A part-time head of data and reporting: plan-vs-actual analysis after close, cost management, oversight of the systems.

Data analysis

A decision-ready answer from the data you already have: where the money goes, what earns the margin, and what to expect next quarter.

  • Margin by product and customer, cost structure, bottlenecks. With a short management summary and recommendations.

  • Revenue, cost and cash flow forecasts, an annual plan and a rolling forecast that your team can update on its own.

  • Analysis and an internal knowledge base built on your own data, in a controlled environment, with verifiable sources.

Data engineering

A reliable data layer under your reports: data arrives on its own, is stored in one place, and reaches users clean.

  • Connecting invoicing, bank, accounting, webshop and Excel sheets with automated data flows and quality checks.

  • A data mart or lakehouse in Microsoft Fabric: a single, secure source with access levels.

  • Automatic matching of bank, invoicing, general ledger and inventory, with a list of differences and an audit trail.

  • Invoices, reminders and data hand-offs to your accountant without depending on IT. Invoicing systems, bank exports, n8n.

Data visualization

The spreadsheet becomes a clear picture from which a manager understands in minutes what is happening and what to do.

  • Power BI management reports: revenue, margin, receivables and cash flow kept current, with automatic KPI tracking.

  • The Excel report assembled by hand every week becomes a self-refreshing Power BI report with the same content.

  • Views tailored to your brand and the way you make decisions, with a consistent template for later reports.

Training and workshops

On-site or online training on your company's own data, so the team can carry on independently after the project.

  • A one-day hands-on course: data model, basic DAX, and a plan-vs-actual report built from the participants' own tables.

  • What Microsoft Fabric offers, what it costs, and whether it is worth it for your company. Architecture, licensing, first steps.

  • A half-day workshop: how AI assistants speed up report development and data preparation, and where caution is needed.

Technology stack

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Too much manual work, or numbers you can't trust? Let's talk about how we can help.

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