Management reporting without manual Excel work
ERP → Power Query → data model → DAX → interactive Power BI reporting for management.
Real-world cases in automation, analytics and digital processes — focused not only on tools, but on measurable business outcomes.
Not simply “we built a dashboard” or “we wrote a script.” These cases show how data, processes and business logic become practical tools for day-to-day management.
ERP → Power Query → data model → DAX → interactive Power BI reporting for management.
When the system sees not only numbers but also real process constraints, planning stops being guesswork.
100 orders → production lines → daily capacity → queue or priority → calculated completion date.
Procurement becomes manageable when the system sees not only the order, but also the product structure, available inventory and actual component requirements.
Finished-product orders → BOM → total requirements → available inventory → exact procurement list.
Smart search matches your request with real cases by meaning, not only by exact keywords. It understands Ukrainian, Russian and English wording, synonyms, abbreviations, common typos and business context.
You don’t need to know the terminology. Simply describe what you currently do manually or what problem you want to solve.
Search analyses more than the case title: technologies · problem · outcome · synonyms · alternative names · business context
You can enter the problem itself instead of a technology name: “manual reporting”, “I calculate procurement manually”, “I don’t know the completion date”, “I need to combine hundreds of files”.
Power BI, Apps Script, API, Excel or another technology comes into play only after it is clear what actually needs to change. Process and business logic come first. Technology comes next.
Identify where manual work, duplication, waiting, errors and dependency on specific people appear.
PROCESS → PROBLEM → ROOT CAUSEClean, match and normalize the data into one clear structure instead of a collection of disconnected sources.
RAW DATA → CLEANING → STRUCTUREDefine rules, conditions, exceptions, priorities and expected system behaviour across different scenarios.
RULES → EXCEPTIONS → OUTCOMEConnect data sources, remove repetitive actions and leave people only the decisions that genuinely require human judgement.
INPUT → MODULE → OUTPUTStatuses, KPIs, reports, alerts and process transparency make the result of automation visible and verifiable.
VISIBILITY → CONTROL → DECISIONYou don’t need to know the technology or have a solution already in mind. Describe what is still being done manually — and we’ll start with the process itself.