Sales and funnel
Revenue, orders, leads, conversion, average check, repeat purchases, managers and channels.
- sales plan vs actual
- funnel and conversion
- ABC / RFM analysis
- manager performance
Working with companies in Kazakhstan and remotely.
I build a governed analytics system: source integration, a shared data model, KPI definitions, dashboards, refresh rules and access for management decisions.
Revenue, orders, leads, conversion, average check, repeat purchases, managers and channels.
Cash flow, payments, receivables, P&L, margin, expenses and profitability.
Stock, turnover, procurement, requests, SLA and overdue tasks.
Leads, CAC, ROMI, CPL, sales by source and campaign dynamics.
Teams maintain different file versions and leadership spends time reconciling numbers.
Sales, payments, inventory and procurement live in separate systems.
Revenue, margin, receivables, conversion and stock metrics need one shared logic.
Dashboards should show issues while there is still time to act.
Dashboards, filters, drill-down, workspaces, row-level access and publishing rules are configured for user roles.
The semantic model, measure definitions, calendars, dimensions and validation rules remain the foundation of reliable reporting.
When source exchange is the main risk, first define the data integration layer for 1C, Bitrix24, SAP, iiko, Directum and other systems.
One management question, one KPI group, agreed source systems and a dashboard with acceptance criteria.
Management questions, report examples, KPI definitions, source access, owners, user roles and refresh expectations.
Source count and access, data quality and history, KPI logic, role model, refresh frequency, Power BI environment and security requirements.
Source map, data and semantic model, KPI catalogue, dashboards, refresh and access rules, validation checks and documentation.
Management needs consistent metrics and reporting across 1C, Bitrix24, SAP, iiko, Directum, CRM, Excel and other systems.
If the main need is to execute transactions, route documents or manage end-to-end operations, compare process automation and Mini ERP.
Define users, decisions and reporting questions.
Check data sources, access and quality.
Align KPI formulas, filters and periods.
Build the model, visuals, tables and navigation.
Reconcile numbers against source systems.
Deliver documentation, access and next steps.
Use data integration for reliable source exchange, AI analytics for KPI anomalies and forecasts, and workflow automation or Mini ERP when users need to execute the process behind the numbers.
1C, Bitrix24, SAP, iiko, Directum, CRM, Excel, CSV, databases, APIs and other systems with available exchange interfaces.
Source integration, a data model, KPI definitions, management dashboards, refresh and access rules, calculation validation and documentation.
Yes. The first stage can cover one management question, KPI set and dashboard if sources, the data owner and acceptance criteria are defined in advance.
No. The visualization tool is selected by the company's infrastructure, access rules and requirements. The data model, KPI definitions and reliable refresh remain the foundation.
Name the KPI set, current reports, 1C, Bitrix24, SAP, iiko, Directum or other sources, users and expected refresh cycle.