1C and accounting systems
Sales, payments, documents, products, counterparties, inventory, debt and finance operations.
- scheduled exchange
- directories and documents
- financial metrics
- data quality control
1C · CRM · Excel · API · ETL
Data integration for BI, ERP and AI analytics
I connect operational data sources into one reliable foundation for reporting, digital systems and management decisions.
01 Sources
Data should work together, not live in separate files
Integrations remove manual exports, duplicates, conflicting numbers and delays between business events and reports.
CRM and sales
Leads, deals, stages, managers, customers, sources, tasks and communication history.
- sales funnel
- conversion
- deal statuses
- payment linkage
Excel and sheets
Manual files can become a controlled data source or a temporary step before automation.
- Excel / CSV
- Google Sheets
- structure validation
- loading rules
APIs and databases
Websites, marketplaces, ad accounts, internal services and SQL/NoSQL databases.
- REST API
- MySQL / PostgreSQL / ClickHouse
- data marts
- exchange logs
02 Process
From sources to a reliable analytics foundation
Data integration includes not only API access, but rules, structure, quality checks and clear refresh logic.
Source map
List systems, fields, owners and refresh frequency.
Data model
Design relationships between customers, deals, payments and products.
ETL
Set up loading, cleaning, transformation and error handling.
Data marts
Prepare tables for BI, ERP, AI and portals.
Validation
Reconcile data against source systems.
Docs
Document sources, rules, fields and limitations.
03 FAQ
Data integration questions
Short answers before starting.
What sources can be connected?
1C, CRM, Excel, Google Sheets, databases, APIs, websites, marketplaces and internal systems.
Are integrations only for BI?
No. They support BI, ERP, Mini ERP, AI analytics and process automation.
Can we start with manual files?
Yes. Excel or CSV can be used at the first stage.
04 Contact
Tell me what data sources you need to connect
Describe where the data lives, what reports or processes depend on it and how often it should refresh.