Big data technologies in the field of manufacturing hold an immense value. According to Forbes, 60 % of manufacturing companies are already investing in big data analytics tools. In this technology-driven business world, big data is one of the key drivers to improve manufacturing processes. Moreover, competing in the business environment without big data analytics is nearly impossible. ERP is a modern technology tool that’s commonly used in small to large-sized enterprises to streamline business operations. When big data and ERP technology integrated software is used in manufacturing firms, it boosts productivity and profits by providing timely and accurate meaningful data. Over the last decade, the integration of Big Data and ERP For Manufacturing has a background of improving productivity, efficiency, and consistency.
Data coming from customer orders, warehouse inventories and production lines can be analyzed by big data tools to optimize manufacturing operations. Accurate and relevant data has the potential to kindle gains in manufacturing areas. Getting the right data at right time is necessary for making better business decisions for manufacturing companies.
Big data and ERP integration for the manufacturing industry can tremendously increase the level of work by gathering data (inventory manifests, supply chain reports, sales orders, and invoices) generated in past and further analyze it to determine underlying trends and extracting valuable insights.
Let’s take a specimen, manufacturers require a better picture of the status of their products in the market. Means, how it’s used and how much people like it? Are there any drawbacks? So, Big data tools implied on ERP systems can track customer data from social media pages like images, blog posts, etc., in which the products are shown. Gradually, these use cases help make a manufacturer better understand what customers like, dislike, their choices, and needs. These insights also help to recognize potential customer needs as the data analytics provide a precise view of the use cases of products. Further, manufacturers can use this information to build better production strategies and produce according to new trends.
The practice of collecting data such as in the form of examinations, financial reports and other forms of structured data has been prevalent from long back. This knowledge (in the form of information) helps in making better business decisions. But, it fails to provide deep insights. Big data probes into some deeper level of information such as customer point of view for the organization and employees work track.
Big data analytics tools can be used to know about customer feedbacks extracted from social media platforms. Take this into consideration to use Big Data and ERP for Manufacturing.
Internet of Things is such a technology which is popular for its exceptional benefits. IoT devices are very helpful to give real-time data to ERP systems. Thus, it makes good big data strategies. In manufacturing companies, acquiring real-time insights from pieces of equipment (IoT enabled) into ERP systems helps manufacturers make better asset management strategies.
Lastly, Big data and ERP for manufacturing create a platform that can provide useful information and help you understand the complexity of operations and remove it.
Amarnath Gupta is a visionary digital transformation leader with over two decades of experience guiding Fortune 500 organizations through enterprise-wide innovation. He has built and scaled Microsoft Dynamics 365 practices into $7.5 million revenue engines, rescued high-risk global implementations, and delivered 35 percent operational efficiency gains, 40 percent faster go-lives, and 30 percent cost optimizations across industries from manufacturing to healthcare and construction.
His passion for marrying deep technical command in Dynamics 365, Azure AI/ML, and Power Platform with strategic P&L governance has spawned proprietary IP solutions like JewelPro™ and OmniClaim Sentinel™. A catalyst for modern AMS frameworks, he leverages predictive KQL analytics and intelligent support automation to slash incident resolution times by 30 percent and cut costs by up to 30 percent.
Amarnath writes about practical strategies for data-driven decision making, end-to-end ERP/CRM implementation best practices, and the future of cloud-native architectures. His work empowers readers to transform underperforming units into high-growth engines while embedding Agile/DevOps and Zero Trust security into every layer.
Amarnath Gupta is a visionary digital transformation leader with over two decades of experience guiding Fortune 500 organizations through enterprise-wide innovation. He has built and scaled Microsoft Dynamics 365 practices into $7.5 million revenue engines, rescued high-risk global implementations, and delivered 35 percent operational efficiency gains, 40 percent faster go-lives, and 30 percent cost optimizations across industries from manufacturing to healthcare and construction.
His passion for marrying deep technical command in Dynamics 365, Azure AI/ML, and Power Platform with strategic P&L governance has spawned proprietary IP solutions like JewelPro™ and OmniClaim Sentinel™. A catalyst for modern AMS frameworks, he leverages predictive KQL analytics and intelligent support automation to slash incident resolution times by 30 percent and cut costs by up to 30 percent.
Amarnath writes about practical strategies for data-driven decision making, end-to-end ERP/CRM implementation best practices, and the future of cloud-native architectures. His work empowers readers to transform underperforming units into high-growth engines while embedding Agile/DevOps and Zero Trust security into every layer.
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