Get Powerful Manufacturing Data & AI Solutions
Bring finance, production, and logistics together.
Get consistent metrics without manual reporting.
Monitor costs, production, and supply in real time.
on implementing analytics in production
Drive Manufacturing Performance With Our Insights
We offer business analytics solutions for production that enable seamless coordination between finance, operations, procurement, safety, and automation.
When data is not synchronized
- reports contain discrepancies and require manual verification,
- decisions are delayed due to a lack of up-to-date metrics,
- costs and inventory are difficult to control within a single system,
- production planning is based on incomplete or inaccurate data.
We build a system in which
- ERP, MES, and SCM data is unified in one structure,
- metrics are calculated using a consistent logic,
- reports are generated automatically without manual processing,
- analytics reflect the actual state of processes within the company.
Forget about manually verifying reports and data discrepancies. Work with accurate metrics and make decisions without delays.
Solutions for Production Data Analysis: Dashboards for Daily Management
Here’s how analytics look once your data is brought together: production, cost, and sales metrics
are tracked in one system and updated automatically. Dashboards help you monitor performance,
spot issues early, and act on current data without manual effort or delays.
How our manufacturing data analytics company implements analytics in dashboards
In the dashboards, you can immediately see key metrics: your sales, expenses, inventory, plan fulfillment, and trends over time. You can change
the time period, filter data, and compare metrics without having to generate new reports. That’s because we offer customized data solutions
for manufacturing that take into account the specific processes of each company and ensure that only the metrics
critical to management are displayed.
Book a Free Session for a Personalized Manufacturing Analytics Plan
During this 30-minute consultation, we’ll work together to identify which manufacturing
data analytics solutions can be applied to your processes.
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HOW MANUFACTURING DATA ANALYTICS SERVICES ENHANCE PRODUCTION RESILIENCE
Production Process
Analytics
- Real-time monitoring of equipment utilization and plan fulfillment.
- Identification of downtime, bottlenecks, and deviations in production cycles.
- Comparison of planned and actual metrics for stable process operation.
Inventory and Supply Chain Analytics
- Monitoring of inventory levels and material turnover without manual reconciliation.
- See how suppliers perform over time and where delivery schedules start to slip.
- Catch early signs of shortages, overstock, and delays across your logistics.
Production Quality
Analytics
- Monitoring of quality metrics at all stages of production.
- Identification of causes of defects and deviations in processes.
- Verification of compliance with standards and technical requirements.
Cost and Efficiency
Analytics
- Analysis of cost structure by process and product.
- Identification of sources of cost overruns and inefficient resource utilization.
- Assessment of the impact of costs on production profitability.
Sales and Demand
Analytics
- Analysis of product demand across different segments and regions.
- Determining the profitability of products and sales channels.
- Identifying market changes to adjust production plans.
Equipment compliance analytics
- Predicting equipment failures based on historical data.
- Planning maintenance without downtime.
- Generating reports to ensure compliance with regulatory requirements.
Why Companies Choose Our Data and Analytics Services for Manufacturing
Implementing analytics in manufacturing requires the coordinated integration of data, metrics, and processes. We build systems where all metrics are interconnected and reflect the true state of the business. As one of the leading manufacturing data analytics companies, we implement analytics that deliver consistent results, transparent metrics, and control at every level.
Quick start and initial results in just 2 weeks
25+ BI and Finance experts without hiring pain
Proven BI delivery for 8Â years in 22 industries
More than 70 happy clients across 5 countries
Save 35% compared to W-2 payroll or contractors
Full end-to-end delivery, from reporting to support
Need a reliable analytics system for your manufacturing operations? Get a customized solution that ensures metric control, process transparency, and consistent data performance.
Sign up for a consultation and get a clear analytics plan for your production
During our conversation, we’ll determine which metrics to track, how to consolidate data from your systems, and where to start so you can see results right away.
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Technologies and approaches we use for manufacturing analytics
Analytics requires the seamless integration of data, processes, and metrics. We select the appropriate manufacturing data analytics software to handle workload, support different analysis scenarios, and keep the system stable. Data remains consistent across systems. It can be used for decision-making without additional manual checks.
Our stack for working with operational data covers the following areas:
- Cloud platforms. Azure, AWS, and Google Cloud are used to deploy infrastructure, store data, and ensure the stable operation of analytics.
- Data warehouses and lakehouse solutions. Snowflake, Azure Data Lake, and Databricks are used to store and organize production, financial, and logistics data in one place.
- Data integration and processing (ETL/ELT). Tools like Azure Data Factory and dbt manage data flows, from ingestion to transformation and regular updates.
- Business analytics tools. Power BI and Tableau support dashboards and provide access to up-to-date metrics for daily decisions.
- Streaming data processing. Kafka, Azure Event Hubs, and similar solutions support scenarios where a rapid response to changes in production is critical.
- Databases of various types. PostgreSQL and MySQL handle structured data, while MongoDB or Redis are used when the project requires flexibility or fast access.
- Integration via APIs and automation. APIs connect systems, while tools like Power Automate or Azure Functions support automated data exchange.
- Data quality control. Metric validation, calculation reconciliation, and indicator stability are ensured at the level of models and pipeline processes.
reliable data performance in production.
How Manufacturers Turn Data into Better Decisions
Healthcare
“Dobrobut” clinics network
Result:
- Clinic's directors got daily updated P&L report;
- The management uses daily dashboard with budget/actual analysis on operational indicators;
- Dashboards combine data from ERP and the Doktor Eleks medical system.
Logistics
Meest China
Result:
- Dashboards combine data from ERP and CRM;
- Routes margin is automaticaly calculated in dashboards and monitored every day by management;
- Daily generated Profit & Loss report;
Manufacturing
Steelite International USA
Result:
- Automated reporting, reducing turnaround from 10 days to overnight.
- Scaled visibility from regional to global (US, UK, Canada, Europe, Australia).
- Centralized data enabled data-driven decisions on a weekly cadence instead of monthly.
Industry-focused case studies designed for your needs
How manufacturing companies achieve results with our analytics
Data analytics consulting for manufacturing involves the systematic development of a framework in which data is harmonized, metrics are calculated according to uniform standards, and analytics is used to inform decision-making at both the process and financial levels.
Analysis
In the first stage, our experts analyze the current state of production data. They verify:
- the completeness of data in the systems,
- the consistency of data formats and types,
- the accuracy of calculations and business logic,
- and the consistency of metrics across departments.
The result: you see the actual state of the data and the reasons for discrepancies.
At this stage, the project team consolidates data from ERP, production, and logistics systems into a single structure. Our specialists ensure:
- data consistency between all systems,
- complete integration of all data sources,
- synchronization of periods and key indicators,
- correctness of data transfer between systems.
The result: you work with consistent data without discrepancies between systems.
Logic
After consolidating the data, specialists establish a unified calculation logic for the metrics. Data engineers determine:
- the rules for calculating key metrics,
- the alignment of metrics with business logic,
- the consistency of metrics across departments,
- and the accuracy of formulas and dependencies.
The result: you receive metrics that are calculated consistently across all reports.
At this stage, analysts create dashboards tailored to business objectives. They configure:
- the structure of metrics in reports,
- the display of metrics on dashboards,
- filters and time-period settings,
- and data access for different roles.
The result: you see key metrics in a single interface and quickly identify anomalies.
After launch, engineers put the system into operational mode with automatic data updates. They ensure:
- connection of data sources,
- configuration of the update schedule,
- monitoring of system performance,
- and consistent availability of metrics.
The result: you work with up-to-date data and monitor processes in real time.
After launch, our team will either hand over the system to you or continue to provide support. It is important to organize:
- configuration of access rights and roles,
- training on how to use dashboards,
- verification of metric accuracy,
- support and refinements as needed.
The result: you work with analytics in a convenient format.
One of the best examples of how we implemented a manufacturing analytics solution
Steelite International
92% reduction in reporting preparation time
Transition from manual preparation to automated report generation—from 10 days to daily updates.
65% expansion of analytical coverage
Transition from local reporting to global coverage spanning the U.S., the U.K., Canada, Europe, and Australia.
99% data accuracy in BI reports
Reconciliation of metrics with financial statements and elimination of discrepancies.
4× faster decision-making
Centralized analytics enabled a shift from monthly to regular management decisions.
Read the full case study and hear from the company’s CFO and CIO.
Get Your Custom Manufacturing Analytics Solution
Contact us for a consultation—we’ll show you how to consolidate data, align metrics, and build analytics that work seamlessly into your daily processes.
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FAQs About Manufacturing Business
Analytics Solutions
How is the price for consulting on production data analysis formed?
Pricing is formed by the volume of data, the number of systems involved, and the complexity of the task. The cost of the project is also affected by the specialists involved. In most cases, the work includes an analyst, a data engineer, and a data architect. The cost of their work in our company ranges from $60 to $100, which is below the average for similar projects in the international market. At the same time, we guarantee high-quality performance. Before starting work, we determine the composition of the team and estimate the number of hours required for your tasks.
What timeline should you expect when implementing manufacturing business analytics solutions?
First results often appear within 2–4 weeks. Simpler setups move faster, while more complex projects with multiple data sources can take several months.
Which production data sources can be integrated?
We integrate data from ERP, MES, CRM, WMS, financial systems, databases, and files. Sources may vary in format — APIs, SQL databases, or Excel — and are combined into a single structure for analysis.
Can your manufacturing analytics solutions connect to our existing ERP?
Yes. The platform integrates with most ERP systems and aligns metrics with your existing data, so reporting remains consistent across systems.
How do manufacturing data analytics services improve production decisions?
Analytics enables you to work with standardized metrics, identify deviations in processes, and assess the impact of decisions on costs, inventory, and production. This reduces errors and speeds up management decision-making.