Data-Driven Solutions

Data Analytics & Business Intelligence

Turn your data into a competitive advantage.

Production Dashboards

Track all your production KPIs — including OEE, output volume, scrap rates and quality metrics — on a single screen. Spot anomalies instantly with real-time data streams and automated alerting.

Demand Forecasting & Planning

Use machine learning algorithms to analyze your sales data, seasonality effects and market trends, producing 30-40% more accurate demand forecasts. Minimize inventory costs and increase customer satisfaction.

Cost & Profitability Analysis

Calculate your true product costs with activity-based costing (ABC). Discover which areas to focus on with profitability analyses by customer, channel and product.

Supply Chain Analytics

Score supplier performance, optimize inventory levels and detect supply chain risks early. Increase operational efficiency by up to 25% with lead time analyses and reorder point optimization.

Our Capabilities

Comprehensive Analytics Solutions

All the tools and expertise you need to create value from data

01

Production Dashboards & Reporting

Bring all your production data together on a single platform, from factory level down to individual machines. Strategic reports for managers, live indicators for operators.

  • Real-time OEE (Overall Equipment Effectiveness) tracking and trend analysis
  • Production performance comparison by shift, machine and product
  • Quality metrics: FTT, scrap rates, customer return tracking
  • Responsive dashboard design for mobile and tablet
  • Automated email and SMS alert notifications
Pilot: 4-6 Weeks | Full Scope: 8-12 Weeks
02

Demand Forecasting & Sales Analytics

Make 30-40% more accurate forecasts with machine learning models that analyze your historical sales data, market conditions and seasonal effects.

  • Time series forecasting models based on ARIMA, Prophet and XGBoost
  • Automatic modeling of seasonality, trends and special days
  • Demand projections by product group and sales channel
  • What-if scenario simulations and sensitivity analyses
  • Integration with SAP, Microsoft Dynamics and other ERP systems
Pilot: 6-8 Weeks | Full Scope: 10-14 Weeks
03

Cost & Profitability Analysis

See the true breakdown of your product costs and discover which customers and products actually generate profit. Grow your margins with data-driven pricing strategies.

  • Activity-Based Costing (ABC) model setup
  • Direct/indirect cost separation and overhead allocation
  • Profitability analyses by product, customer, channel and region
  • Break-even analysis and margin optimization recommendations
  • Dynamic pricing models and scenario analyses
Pilot: 4-6 Weeks | Full Scope: 8-10 Weeks
04

Supply Chain & Inventory Analytics

Gain end-to-end supply chain visibility. Optimize inventory levels, detect supplier risks early and base your purchasing decisions on data.

  • Supplier performance scoring (quality, delivery, price metrics)
  • ABC-XYZ inventory segmentation and optimal stock level calculation
  • Reorder point (ROP) and economic order quantity (EOQ) optimization
  • Lead time analysis and procurement time forecasting
  • Risk mapping and a proactive supply chain alert system
Pilot: 6-8 Weeks | Full Scope: 12-16 Weeks
How We Work

Our Process

From data to insight, with a structured approach

01

1. Data Inventory

Analysis of existing data sources.

02

2. Architecture Design

Data warehouse + ETL pipeline.

03

3. Dashboard Development

Creating KPIs and reports.

04

4. Forecasting Models

Advanced analytics layer.

Why Vintara?

Unlock the Hidden Potential of Your Data

Book a free discovery call with our data analytics experts. Together we'll explore how the data in your existing systems can be turned into strategic decisions, and build an analytics roadmap tailored to you.

Cloud + on-premise experience
Modern stack (Snowflake, BigQuery)
Forecasting + BI from a single source
Data democratization approach
40% Higher Forecast Accuracy
30% Cost Savings
50+ Data Source Integrations

Frequently Asked Questions

What clients ask most about this service

How much data do we need to start with analytics?

You do not need to wait months collecting data: first insights come from your existing ERP, CRM and production data, and gaps are closed step by step along the roadmap.

Which tools do you build dashboards with?

Primarily Power BI, Tableau and Looker; we choose together, taking your existing licences and cloud preference (Snowflake, BigQuery, etc.) into account.

How accurate are demand forecasting models?

Accuracy depends on data quality and history depth. In the pilot we back-test the model on your own historical data and agree on a target accuracy band together.

How is our data kept secure?

Your data stays in your infrastructure or your chosen cloud. Access control, data masking and GDPR/KVKK compliance are standard requirements in all our projects.

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