Our manufacturing analytics solutions bridge the gap between data and decision-making. Turn heaps of factory data into actionable insights, streamline supply chains, and optimize production across the entire value chain.
Trusted by Industry Leaders
Need Help Setting Data-Driven Manufacturing KPIs?
Are you finding it tough to handle extensive factory data while establishing data-driven manufacturing KPIs? Managing heaps of data is definitely a big challenge. But, with end-to-end operational analytics, seamless data integration, and custom Power BI dashboards in place, turn every question into a well-defined KPI!
US Manufacturers Take the Lead With Managed Analytics Solutions
Win in the Manufacturing Marketplace with Smart Analytics Offerings
Data Warehousing
Robust data warehousing solution to centralize and analyze manufacturing data. Access a comprehensive repository of historical and real-time data, facilitating in-depth analysis and reporting.
Access Custom Power BI Dashboards
Visualize and interact with your factory data with custom Power BI (finance, OEE, Sales, etc) dashboards. Consolidate data from various sources into user-friendly charts, and diagrams, providing key stakeholders with actionable insights for better strategic planning.
Demand Forecasting Analytics
Improve production efficiency by integrating demand forecasting analytics. Utilize historical data and market trends to optimize production planning, ensuring the right amount of inventory is produced to meet market demand.
Quality Control Analytics
Implement quality control analytics to monitor and enhance product quality. Access custom dashboards that provide real-time insights into manufacturing processes, enabling quick identification and resolution of quality issues.
Supplier Performance Analysis
Evaluating and analyzing supplier performance metrics to optimize the supply chain, reduce lead times, and enhance collaboration with key suppliers.
AI Automation
Optimize your day-to-day manufacturing operations with our AI/ML-based automation. Gain efficiency by automating tasks, predicting maintenance needs, and improving workflows using smart algorithms.
IoT-enabled Manufacturing Analytics
Implement solutions that leverage IoT data to monitor equipment health, track production metrics, and enable data-driven decision-making for continuous process improvement.
Achieve the Ideal Overall Equipment Effectiveness Score
Why US Manufacturing Firms Trust DataToBiz Manufacturing Analytics Solutions?
Domain Expertise
Global Reach and Support
Scalable and Flexible Solutions
Strong Feedback Chain
Integration with Industry 4.0 Technologies
Read About Our Client's Wins
Headaches from supplier delays and price fluctuations were a constant. But, after collaborating with the DataToBiz team of BI experts, they curated a custom procurement dashboard for us. The collaboration was short-term, but the results it left transformed our processes forever!
Entering the US market as a foreign manufacturer was daunting. DataToBiz’s analytics expertise became our anchor. They tailored solutions to navigate unfamiliar regulations, optimize production for US demand, and even predict seasonal trends, which helped us in the long run!
Frequently Asked Questions
Manufacturing analytics refers to the process of collecting, processing, and analyzing data from various sources within the manufacturing environment to gain insights, optimize processes, and improve overall efficiency. It involves using advanced analytics techniques to extract valuable information from data generated by machines, sensors, production lines, and other manufacturing systems. Several manufacturing analytics companies offer solutions for this purpose.
Analytical manufacturing, also known as analytical chemistry in manufacturing, involves the application of analytical techniques to monitor and control the quality of raw materials, intermediate products, and finished goods in the manufacturing process. It aims to ensure that products meet regulatory requirements and quality standards. Companies specializing in manufacturing analytics solutions provide tools and services for analytical manufacturing.
Predictive analytics is a branch of advanced analytics that uses statistical algorithms and machine learning techniques to predict future events or outcomes based on historical data. In the manufacturing sector, predictive analytics can be used to forecast demand, optimize production schedules, prevent equipment failures, and improve supply chain efficiency. Several companies offer predictive analytics solutions tailored for the manufacturing industry.
Analyzing manufacturing data involves several steps, including data collection, data preprocessing, data analysis, and data visualization. Data is collected from various sources such as sensors, machines, and production lines. Once collected, the data is cleaned and transformed into a format that is suitable for analysis. Analytical techniques such as statistical analysis, machine learning, and data mining are then applied to extract insights and patterns from the data. Finally, the results of the analysis are visualized using charts, graphs, and dashboards to facilitate decision-making. Companies specializing in manufacturing data systems provide tools and services for analyzing manufacturing data.
Analytics has revolutionized the manufacturing industry, offering a myriad of applications that enhance operational efficiency and drive growth. Manufacturers are increasingly relying on data analytics to optimize their processes, improve product quality, and streamline their supply chains. Let’s explore some key applications of analytics in manufacturing:
Predictive maintenance: Using data analytics to predict when equipment is likely to fail so that maintenance can be performed proactively.
Quality control: Analyzing data to identify defects and improve product quality.
Supply chain optimization: Using analytics to optimize inventory levels, reduce lead times, and improve supplier performance.
Demand forecasting: Using historical data to predict future demand for products and optimize production schedules.
Energy management: Analyzing energy usage data to identify opportunities for energy savings and reduce costs.
Overall Equipment Effectiveness (OEE) analytics: Maximizing the efficiency of equipment and processes to improve productivity and reduce waste. OEE analytics involves analyzing data related to equipment availability, performance, and quality to identify areas for improvement and optimize overall equipment effectiveness.
Big data analytics is used in manufacturing to process and analyze large volumes of data from various sources such as sensors, machines, and production lines. It helps manufacturers gain insights into their operations, identify patterns and trends, and make informed decisions. Big data analytics can be used to improve product quality, optimize production processes, reduce downtime, and enhance supply chain efficiency. Several manufacturing data analytics companies offer solutions for big data analytics in the manufacturing industry.
