STAGE 01
Collect
Data from ERP, CRM, e-commerce, production and field systems is ingested on a schedule or in real time through connectors and APIs.
> Sources: SAP, Logo, POS
> Change data capture: active
ERP • SALES • PRODUCTION • FIELD DATA
The Analytics Engine That Turns Scattered Data into Instant Decisions.
We bring data from all your systems — from ERP to e-commerce, from the production line to field teams — into a single analytics layer. Executives decide with up-to-date dashboards, teams with self-service reports and business units with predictive models, all looking at the same trusted data.
- Single Source
Shared Data Model
All systems in one layer
- Live
Real-Time Dashboards
Automatic data refresh
- Self-Service
Build Your Own Reports
No coding required
- Forecasting
Predictive Models
Demand • Inventory • Risk
bilnet-analytics • executive-dashboardLIVE
- DAILY REVENUE
- ₺2.48M+6.2%
- ORDERS
- 18,420+3.8%
- STOCK TURNOVER
- 11.4 days-1.1%
WEEKLY SALES (BY REGION)
Forecast: Weekend demand in the Aegean region may exceed stock levels by 12%.
Last sync: SAP • Logo • E-commerce — 2 min ago
CONNECTED DATA SOURCES
Works with Your Existing Systems
- SAP
- Logo
- Netsis
- Mikro
- SQL Server / PostgreSQL
- REST API
- Excel / CSV
- IoT Sensors
HOW IT WORKS
A Four-Stage Flow from Raw Data to Decisions
Data is pulled from source systems, cleaned, mapped onto a shared business model and delivered in a form every team can use.
- STAGE 02
Clean & Model
Duplicate and invalid records are removed, and core concepts such as customer, product and branch are tied to a single definition across all systems.
> Data quality: rules passed
> Shared model: up to date
- STAGE 03
Analyze
KPIs are defined in a single semantic layer, and trend, breakdown and forecasting models run on these shared definitions.
> KPI definitions: 48 metrics
> Forecast model: trained
- STAGE 04
Share & Act
Dashboards, scheduled reports, threshold alerts and APIs deliver results to the right person at the right moment.
> Alert: stock threshold exceeded
> Report: sent to management
ANALYTICS ARCHITECTURE
A Scalable, Manageable Layered Data Architecture
Because every layer has a clear role, adding a new data source or report never breaks the existing setup. The architecture is deployed on-premise or in a private cloud according to your data volume and security requirements.
A Single Source of Truth
Sales, finance and operations look at the same data and the same KPI definitions — no more debating numbers in meetings.
No Load on Source Systems
Analytical queries run on a separate data store, so the performance of your ERP and operational systems is unaffected.
Flexible Deployment
On your own servers, in a private cloud or in a hybrid setup; data never leaves the boundaries your organization defines.
- SOURCE SYSTEMSERP • CRM • POS • MES • IoTData stays in place and is read, not moved
- INTEGRATION LAYERETL / ELT Data PipelinesScheduled loads • Change data capture
- DATA WAREHOUSECentral Analytics Data StoreHistorical data • Columnar queries
- SEMANTIC LAYERShared KPI & Business DefinitionsEveryone calculates the same metric the same way
- PRESENTATIONDashboards • Reports • APIWeb, mobile and embedded use
CAPABILITIES
Core Capabilities of the Analytics Engine
Every analytics capability you need, from executive dashboards to forecasting models, on a single platform.
Real-Time Dashboards
Revenue, orders, inventory and production indicators refresh automatically, with one-click breakdowns by branch, region and product.
Self-Service Reporting
Business units build their own reports and analyses on a ready-made data model with drag-and-drop — no code required.
Predictive Analytics
Forecasts for demand, inventory needs and collection risk are generated from historical data, so planning is data-driven.
Threshold & Anomaly Alerts
Unexpected drops, spikes or threshold breaches are sent instantly to the right person by email, mobile notification or message.
Scheduled Reports
Daily, weekly and monthly reports are delivered automatically to the right recipients, replacing manually prepared spreadsheets.
Embedded Analytics & API
Dashboards are embedded in your existing portals and applications, and analytics results flow to other systems via API.
USE CASES
Meaningful Metrics for Every Department
The same data model becomes dashboards that answer each team's own questions.
Finance
Cash flow, receivables and payables aging, budget-vs-actual comparisons and profitability analysis.
- Cash Flow
- Budget Tracking
Sales & Marketing
Sales performance by region, rep and product, campaign impact and customer segmentation.
- Sales Performance
- Segmentation
Supply Chain & Inventory
Stock turnover, critical stock alerts, supplier performance and forecast-based purchase recommendations.
- Stock Turnover
- Demand Forecasting
Production
Line efficiency, downtime causes, scrap rates and production indicators combined with machine data.
- Line Efficiency
- Downtime Analysis
Field Operations
Route compliance, visit performance and real-time matching of field sales and collection data with headquarters.
- Route Compliance
- Field Performance
Executive Management
An executive dashboard that brings all of the company's key indicators together on one screen and compares them with targets.
- Executive Dashboard
- Target Tracking
SECURITY & DATA GOVERNANCE
The Right Person, the Right Data, Auditable Access
Analytics only delivers value on trusted, controlled data. We define governance rules — from access to data quality — from day one of the deployment.
Governance principles
- Access
- Role- and row-level permissionsA regional manager sees only their region; a branch sees only its own data.
- Quality
- Automated data checksMissing, duplicate and inconsistent records are caught before they reach reports.
- Audit
- Audit logsWho accessed which report and data is recorded.
Personal Data Masking
Personal data is masked for unauthorized users, in line with KVKK principles.
Corporate Identity Integration
Users sign in with Active Directory or single sign-on (SSO) — no separate password management.
Encrypted Data Transfer
All data flowing from source systems to the analytics layer travels over encrypted connections.
On-Premise Deployment Option
Runs on your own servers without data ever leaving them; private cloud and hybrid options are also available.
Metric Glossary
Each KPI's definition, formula and owner is documented, so no two calculations ever share the same name.
Versioning & Change Tracking
Changes to the data model and reports are versioned, and you can roll back to a previous state when needed.
FREQUENTLY ASKED
Frequently Asked Questions
The most common questions about deployment, data sources and usage.
Which systems can you pull data from?
Main sources include ERPs such as SAP, Logo, Netsis and Mikro; SQL Server, PostgreSQL and Oracle databases; applications with REST APIs, e-commerce platforms, Excel/CSV files and IoT sensors. For your custom systems, we determine the right connection method together during discovery.
Will our ERP system's performance be affected?
No. Data is read from source systems at scheduled intervals or via change data capture, and analytical queries run on a separate data store. That way, the reporting load never lands on your operational systems.
Can non-technical employees build reports?
Yes. Thanks to the ready-made data model and shared KPI definitions, business units can build their own reports with a drag-and-drop interface. After deployment, we provide hands-on training for your teams.
Where is our data stored?
Your choice: on your own servers, in a private cloud or in a hybrid setup. With on-premise deployment, data never leaves your organization; access is restricted with role-based permissions and logged.
How soon will the first dashboards be available?
It depends on the number of data sources, data quality and the breadth of scope. We usually start with one priority area and deliver the first dashboards early, then expand the scope step by step.
FREE DATA DISCOVERY
Let's Discover What Your Data Is Telling You.
Let's review your existing systems, reporting processes and decision needs with our data architect, and build an actionable analytics roadmap for your priority metrics.
Analysis of data sources and reporting processes
Priority KPI and dashboard recommendations
In-person at our Maslak R&D center or via video call