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manufacturing analytics

4 Ways Manufacturing Analytics Can Help Businesses to Optimize Their Operations and Reduce Costs

Businesses that can constantly discover new ways to streamline their operations are successful in the manufacturing industry. Earlier manufacturing companies used to invest a lot of time and resources to examine every single manufacturing process, testing and re-testing innovative ideas and finally implementing changes. However, with the advent of manufacturing analytics, today businesses are able to improve their manufacturing operations more efficiently. With the help of manufacturing analytics, businesses can easily streamline their operations by gaining actionable insights that can further help them to fine-tune their production line. In this article, we have highlighted four ways in which businesses can make noticeable improvements in their manufacturing operations using manufacturing analytics.

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Benefits of Manufacturing Analytics

Production schedule and capacity optimization

When it comes to production scheduling and capacity planning and optimization, most organizations tend to have a hard time. They find it difficult to minimize the discrepancies between their capacity and the demands of their customers. Consequently, most of them are under-utilizing resources or are unable to fulfill customer demand. Manufacturing analytics can help companies in the manufacturing industry to identify, quantify, and prioritize margin improvement opportunities by offering detailed insights into SKU velocity, price band, and segment performance, etc. As a result, manufacturing businesses can improve their production schedule and capacity optimization techniques.

Quantzig’s manufacturing analytics solutions can help you streamline your production processes, improve supply chain efficiency, and increase customer service levels. Request FREE proposal to gain in-depth insights into our portfolio of manufacturing analytics solutions.

Packaging schedule optimization

Manufacturing companies mostly leave their packaging decisions to designers and marketing experts who know how to market and make the products reach to the target customers. Unfortunately, this takes a lot of time and consumes a lot of resources. Manufacturing analytics can help companies to cut down costs by minimizing the number of switches across the production and bottling lines. It can offer predictive scheduling analysis insights that can help companies to gauge resource availability, and resource utilization capacity to make predictions about future workflows.

Predictive maintenance and scheduling

Manufacturing analytics also helps improve production efficiency through predictive maintenance and scheduling. By leveraging advanced data analytics solutions, companies can improve the efficiency of production lines by predicting the number of goods that will pass or fail a quality inspection. Through predictive maintenance and scheduling, companies can precisely identify risks and failures of their assets and can improve their ability to be responsive to the unique pressures on each machine.

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Cost to serve optimization

Manufacturing analytics solutions that leverage advanced data mining techniques, can help companies to gain valuable insights into the actual cost of supplying a specific product to the customer by modeling all logistics activities in the network. Also, it can help businesses to quantify the value of negotiated service levels, shipment exceptions, and other overhead costs. With a robust manufacturing analytics process, businesses can not only gauge the profitability of products, customers, and routes to market but adopt a data-driven approach to decision-making on product mix, service mix and operational changes for each customer.

To learn more about the benefits of manufacturing analytics, request for more information right away!

sensor data analytics

Sensor Data Analytics: Helping Manufacturing Companies to Uncover New Opportunities

With the growing popularity of digital platforms, customers, suppliers and business partners need greater agility, speed, and scale from manufacturers. As a result, there is a need for fully integrated and collaborative manufacturing systems that can respond in real-time to meet the changing demands and conditions in the supply chain. This is where sensor data analytics can help. Sensor data analytics has enabled companies to drive greater possibilities for different kinds of distributed data sharing and analytics. It can help manufacturing companies to extract actionable insights from embedded sensors to drive organizational improvements and profitability. Also, disparate and deployed industrial assets and connected devices can provide manufacturing companies with a unique touchpoint to real-world operations and conditions.

Quantzig’s big data analytics experts can help you improve operations, ensure compliance, perform predictive maintenance and better manage the uptime. Get in touch with them right away.

sensor data analyticsBenefits of Sensor Data Analytics for Manufacturing Companies

Benefit #1: Optimize production and enhance efficiency

Manufacturing companies have a plethora of data sets which are mostly underutilized as intricate access makes valuable insights sluggish. Sensor data analytics can add a new dimension to such datasets with connected assets and sensors. This can, further, help manufacturers to quickly capture, cleanse and analyze machine data. Consequently, valuable insights can be derived that can help optimize production and enhance the efficiency of performance.

Our sensor data analytics solutions can help businesses to leverage cognitive technologies to analyze and visualize machine data in real-time. Request FREE proposal to gain in-depth insights into our portfolio of big data analytics solutions.

Benefit #2: Predict machine failure and quality improvement

Sensor data analytics can help manufacturers to make better use of machines. It can help in automating the analysis of data from sensors within equipment and the actual operation of these machines. Also, with the help of sensor data analytics, manufacturers can determine when machines may need to shut off to prevent an issue. Furthermore, sensor data analytics can aid in aggregating data faster by leveraging advanced data management techniques. Consequently, the overall quality of production can be improved, helping manufacturers to build a better plan of action.

Gain real-time insight into your asset deployment, utilization, and resource consumption rate with our sensor data analytics solutions. Request FREE demo below to know more.

Benefit #3: Facilitate preventive maintenance

In the manufacturing industry, preventive maintenance holds immense importance. Sensor data analytics helps in preventive maintenance by reducing the issues found in devices by triggering alerts based on the data generated by machines. Also, sensor data analytics has the potential to automatically signal the repair of a machine when needed. This further helps manufacturers to take preventive measures and improve the efficiency of machines in the course of conducting business. Therefore, sensor data analytics can empower manufacturing companies to ensure that modern manufacturing processes meet future business needs.

To learn more about how sensor data analytics can help you improve your manufacturing processes, request for more information now!

manufacturing analytics

Manufacturing Analytics Helped a Leading Steel Manufacturing Company to Improve Product Quality and Enhance Operational Efficiency by 4x- A Quantzig Success Story

The client is a leading European steel manufacturing company that operates its steel mills all across Europe. The company is known for producing electrical steel, hot-rolled, steel plate, and stainless-steel products. The steel manufacturer approached Quantzig to leverage its expertise in offering manufacturing analytics solutions to analyze its production processes and optimize operational efficiency.

Companies in the global steel industry are facing razor-thin margins and are dealing with growing competitive pressures to bring quality products to the market faster and more efficiently than their competitors. Moreover, the constant fluctuations in the price of raw materials have put significant pressure on steel manufacturers. Therefore, companies in the steel industry are looking for better ways to stay ahead of the curve. Consequently, businesses are investing a considerable amount of capital into production process improvement to differentiate their offerings from that of their competitors’ products. To address these challenge manufacturers in the steel industry must leverage manufacturing analytics solutions to identify bottlenecks and optimize steel manufacturing processes.

Our manufacturing analytics experts help companies to tune production operations for minimal cost and risk while capitalizing on data.  Get in touch with them right away!

Business Challenge

The client, a leading steel manufacturer, wanted to produce better quality products that are innovative and reliable. Also, they wanted to reduce operational costs and improve operational efficiency. Furthermore, the client wanted to reduce their reliance on manual tracking systems that hindered their capability to predict machine downtime accurately. Therefore, the steel manufacturing company approached Quantzig to help them affordably capture valuable data and turn them into valuable insights. Also, they wanted Quantzig’s analytics experts to help them devise powerful strategies to improve manufacturing quality, efficiency, and performance.  

Quantzig’s manufacturing analytics solutions help organizations to reduce costs, improve productivity and minimize risk. Request a FREE proposal to gain in-depth insights into our portfolio of analytics solutions.

Solutions Offered and Value Delivered

The manufacturing analytics experts at Quantzig adopted a holistic three-phase approach to help the client tackle their core business challenges. In the first phase of this manufacturing analytics engagement, the experts focused on conducting an in-depth analysis of the client’s datasets to identify different data points such as cost of raw materials and time taken to develop each product. The second phase of the manufacturing analytics engagement revolved around identifying key performance indicators. The final phase of the engagement focused on developing and designing customized manufacturing analytics dashboards to capture real-time data and generate valuable insights.

We can help you detect, prioritize, and define warranty and service performance issues with the help of our manufacturing analytics solutions. Request a FREE demo below to know more.

The solution offered helped the client to reduce errors in manufacturing processes and focus on improving uptime. Also, the client was able to accurately predict downtime and quickly resolve issues. Consequently, they were able to increase productivity, reduce wastage of raw materials, and improve operational efficiency by 4X.

Benefits of Manufacturing Analytics Solutions 

MANUFACTURING ANALYTICSTo learn more about the benefits of manufacturing analytics, request more information.

Read our latest article to learn more about the importance of manufacturing analytics in improving business operations:

Manufacturing Analytics: Key to Drive Significant Improvements Across Business Operations

spend analytics

Spend analytics solutions helped a manufacturing company to identify spend patterns and increase profitability by 12%

The client is a leading manufacturer and distributor of high-quality construction equipment based out of Germany. The company is well-known for delivering high-quality construction equipment and services in more than 14 countries.

In today’s complex business scenario, gaining a 360-degree view of the spend may seem like an uphill task, even for well-established companies. The client, a multinational conglomerate in the industrial and manufacturing sector, was no exception. With business units spread across Europe, the client faced several spend management issues that left a measurable impact on their business operations.

Quantzig’s spend analysis solutions can be custom configured to your organization’s existing processes and spend management system’s subtleties to help you deliver sustainable results. Request a FREE proposal to gain in-depth insights into our portfolio of spend analytics solutions.

Business Challenge

Global manufacturing companies face a wide range of challenges including the need to adhere to local regulations related to labeling requirements and safety standards. Such factors are pressurizing manufacturing companies to adhere to the regulatory requirements without compromising on their operational efficiency. Spend data, data systems, and domain knowledge are often siloed within specific groups of teams in manufacturing companies. Therefore, leveraging spend analytics solutions has become important for companies to address such challenges.

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The client, a German manufacturing company, was struggling to gain a consistent and unified view of spend throughout different functional groups within their organization. With minimal access to vendor information and a mere 6% of the organization’s spend data categorized, the client was experiencing a steady decline in their negotiation power. By leveraging spend analytics solutions, the manufacturing company was looking to overcome such challenges caused by data silos and operational complexities. As a result, they approached Quantzig to gain greater visibility into their spend patterns and improve profitability.

Our spend analytics experts can help you achieve notable improvements in supplier performance, and efficiency. Get in touch with them right away!

Solution Offered and Value Delivered

The spend analytics experts at Quantzig adopted a comprehensive approach to understand the core business challenges faced by the client. The initial phase of the engagement revolved around analyzing the client’s existing spend data and patterns. By gaining valuable insights from such analysis, the experts then unlocked the potential value in the growing spend data of the client which further helped them to identify roadblocks to spend management. Also, the solution offered by Quantzig enabled the manufacturing company to integrate spend and supplier data and eliminate bottlenecks by leveraging real-time spend insights.  As a result, the client realized an increase of 12% in their profitability and identified several saving opportunities which were previously unknown to them.

Quantzig’s spend analysis solutions encompass the entire value chain, with each offering uniquely configured to meet distinct client requirements. Request a FREE demo below to know more.

Spend analytics solutions also helped the client to:

  • Proactively address compliance related issues
  • Achieve notable improvements in supplier performance
  • Streamline their procure-to-pay operations

Why choose Quantzig as your next analytics partner?

Quantzig’s spend analytics solutions provide companies with opportunities for procurement that help them to achieve wider business objectives. An in-depth spend-analysis solution by Quantzig helps leading organizations to rationalize their supply base, deliver unit cost savings from unmanaged spend, reduce maverick spend, and harmonize pricing across buying centers. At Quantzig, we bring together scalable advanced technology and analytics experts to deliver accurate results that give sourcing and category teams confidence in the spend data, so they can focus on delivering value.

To learn more about how our spend analytics solutions can help you tackle supply chain risks and drive continuous innovation and improvement, request for more information now.

To know more about spend analytics, take a look at our holistic guide to spend analytics here:

A Definitive Guide to Spend Analytics

manufacturing analytics

Manufacturing Analytics: Key to Drive Significant Improvements Across Business Operations

What is Manufacturing Analytics?

Manufacturing analytics is a technique that integrates big data, predictive analytics and industrial internet of things with the manufacturing processes to bring efficiency in the business operations. Manufacturing processes are successful when businesses can streamline their operations. This is where manufacturing analytics can help. Today manufacturers can leverage manufacturing data analytics techniques to examine, test and re-test every single process and implement innovative ideas to make improvements in the business operations. Manufacturing analytics can make manufacturing processes faster and more efficient by offering more focused and actionable insights that can help companies to fine-tune their production line.

Our manufacturing data analytics solution can help you understand the cost and efficiency of your product lifecycle. Request a FREE proposal now to gain better insights into our portfolio of services.

manufacturing analytics

Benefits of Manufacturing Analytics

Decrease downtime

Manufacturers can maximize the operating time of critical assets by leveraging manufacturing analytics solution to anticipate their failure. By utilizing data analytics in manufacturing, businesses can gather historical data (structured and unstructured both) to gain in-depth insights into operations that can’t be assessed with conventional techniques. Using manufacturing data analytics, companies can identify the circumstances that tend to cause breakdown of a machine and monitor input parameters so they can intervene before breakage decreasing downtime. Furthermore, manufacturing analytics can help companies understand how downtime for a single machine can affect the manufacturing chain and how different configurations may improve overall efficiency.

Our analytics experts can help you make better decisions by visualizing how each aspect in your manufacturing chain impacts the final result. Get in touch with them right away.

Gain better insights into machine utilization and effectiveness

One of the major challenges that manufacturers face is wastage of time. While manufacturing chains can be built with efficiency in mind, different factors may play a contributing role in reducing the overall efficiency of the line because of poor installation, misuse, or simply a lack of downtime coordination. By combining existing IoT systems with manufacturing analytics solutions, companies can gain real-time insights into how well their manufacturing lines are operating. Also, it can help in generating actionable insights to help companies realize real improvements in the overall process.

Improve demand forecasts

Any product manufactured today aims to cater the demands that will emerge in the near future. This is the reason why demand forecasts are important from a business perspective. Demand forecasts guide a production chain and help identify the reason between strong sales and an unused inventory. For most companies, forecasts are based on historic values and not on more actionable forward-looking data. By leveraging manufacturing analytics solution, manufacturers can combine existing data with predictive analytics to build a more precise projection of future  purchasing trends.. These insights are derived not just from previous sales data but from how well current manufacturing processes are operating, leading to smarter risk management and less production waste.

Quantzig helps companies to develop effective strategies that can consistently guide them gauge their own need for repairs. Request a FREE demo below to know more.

Better warehouse management

Storage is generally the most overlooked aspect of the manufacturing process. Every stage is important when products are ready to be shipped especially in a world that is increasingly embracing zero-inventory models to reduce overstock scenarios. This is where warehouse management is important. Establishing an efficient warehouse management system can further improve product flow management, and improve business operations, as well as the bottom line. Manufacturing analytics framework makes it easier to understand how to improve your inventory and manage your warehouses better. This can, further, help in improving manufacturing KPIs and processes. By incorporating a robust manufacturing analytics solution companies can build a more granular understanding of how their production line operates, and how they can streamline it to avoid unnecessary costs

Why Quantzig?

Manufacturing leaders today are visionaries, pioneering increasingly efficient methods to produce and move physical goods while thinking beyond cost savings, productivity, and risk reduction. Future survival needs manufacturers to become nimble and analytics driven. This can help organizations minimize risk and seize opportunities through actionable operational insights and confident decision making. Manufacturing analytics solutions from Quantzig can help companies to fine-tune their production operations for minimal cost and risk while capitalizing on data as an asset that can further help them deliver innovative services and quality products. We, at Quantzig, deliver proven value and help leading companies unlock the immense potential of their digital transformation through our customized manufacturing analytics solutions.

Want to learn more about how manufacturing analytics can help you predict maintenance issues and prevent breakdowns? Request for more information now!!

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4 Major Impediments That the Manufacturing Industry Must Tackle

Despite the common conjecture that the manufacturing industry in the U.S. is taking a downturn, it still produces over 18 percent of the world’s total goods. This clearly goes out to prove that despite several hindrances, the manufacturing industry is on its way to resurgence. This can be attributed to the advent of new technology and lean manufacturing processes combined with a strengthening economy. However, there is no time for players in the U.S. manufacturing sector to unruffle, they must devise a new game plan to tackle challenges that come their way and continue their upward momentum.

Challenges facing the manufacturing industry

Shortage of skilled labor

The fact that the baby-boomer generation is entering into the retirement stage has taken a major hit on manufacturing companies. But the good news is that with the advent of technology, players in the manufacturing industry can gradually replace human labor with machines and employ candidates with a variety of other skill sets including proficiency in mathematics and analytics. The largely unskilled, trainable workforce that once made up a major portion of the employees in the manufacturing industry can now be replaced with automation and machine sensors. Moreover, AR and VR technologies are now making it easier for companies in this sector to train the workforce on the job while cutting costs.

Rising competition

Manufacturers in the U.S. face competition from all corners of the globe. In the recent year, China has proved to be one of the biggest competitors for the U.S. manufacturing industry as they are known to produce products for a fraction of the price that it would otherwise cost to make those same products stateside. Players in the manufacturing industry need to make their value known in order to combat global competition. Companies in this sector must constantly leverage the expertise of their people, improve their speed to market, undertake better innovation, and ensure supply chain efficiency, all this at the minimum possible cost.

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Importance of Inventory Management for Manufacturing Companies: A Quantzig Success Story on Streamlining Ordering Inventory

 Importance of Inventory Management

Inventory management techniques can help you manage your business’s inventory and stock items; thus, helping you track where your assets are and what they’re worth. Inventory management techniques also analyze your business’s inventory demands and can even automate your ordering process. The real importance of management techniques has been realized by companies functioning in industries such as retail, food and drink, production, healthcare and many more. Implementing effective techniques can help advance your management process, providing transparency and efficiency to a complicated and complex system. Effective inventory management techniques can prevent:

  • Deadstock
  • Spoilage
  • Storage costs

Inventory Management Techniques

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The Future of Artificial Intelligence: Is AI the New Star on the Factory Floor?

The manufacturing sector has been an aggressive user of robotics and mechanization for decades. Artificial intelligence is clearly the next step for companies in this industry to improve productivity, production line, and tooling utilization, and minimize the production cost per unit. With the increasing application of AI technology into various functions, the future of artificial intelligence seems to be a bright one in the manufacturing space. The use of artificial intelligence in the manufacturing sector will take the functioning of machinery to the next level from merely doing what they are originally programmed to do. Such machines can now mimic human actions and display enhanced decision-making capabilities. Moreover, by showcasing better sensory capabilities; and, off the factory floor, predicting what will be needed and when the future of artificial intelligence in the manufacturing sector is already becoming feasible in emerging markets. Employing AI in manufacturing plants enables companies to completely transform their proceedings.CTA QZ

Future of AI in manufacturing

New manufacturing markets

As far as the manufacturing sector is concerned, capital margins are often higher when compared to the profit margins. This has fueled the shift of manufacturing facilities to lower-wage countries, where the costs of labor are low. Here, capital investments in AI and automation were hard to justify for companies in the manufacturing sector. However, the rising -living standards in low-wage countries like India and China have opened new doors for the future of artificial intelligence. In fact, China is already investing significantly in artificial intelligence for manufacturing and e-commerce. Though workers in the manufacturing sector are already lamenting the loss of jobs due to automation and machinery that work on AI technology, companies are now looking at ways to retain these workers. The workers are now being planned to be put to perform higher-level design, programming, or maintenance tasks. However, the real driver will be to develop applications for AI in manufacturing that not only automates tasks but also makes entirely new business processes feasible.

demand and capacity planning

Manufacturing Technology Trends: What’s New in 2018?

The face of manufacturing technology is gradually being transformed by the digital transformation of manufacturing, ongoing convergence of IT and OT, and the usage of IoT in combination with several other technologies. Just like how industrial revolution had an impact on manufacturing, now, digital transformations are all set to bring big changes in the manufacturing landscape. Manufacturing companies are now able to shift from traditional mass production to customized production with the help of advanced technologies. Furthermore, the highly dynamic consumer expectations and the advent of connected devices and platforms are driving the persistent digitization of the manufacturing process. Also, sustainable alternatives will replace existing processes, and manufacturing companies will soon find it difficult to avoid the IndRequest Solution Demoustrial Internet of Things (IIoT). Here are some of the manufacturing technology trends to watch out for in 2018: 

Green manufacturing

Manufacturing companies are now pushing for green, sustainable alternatives rather than traditional manufacturing. Green initiatives are becoming essential components for saving money for manufacturing companies. The availability of raw materials and resources becoming tighter each day is giving rise to a circular economy.  In a circular economy, recycled and reusable materials can be processed and used to reduce the cost of manufacturing items. Green manufacturing is one of the manufacturing technology trends that will grow in importance this year as green initiatives are pushing consumers toward companies that embrace sustainable motives.

Off-site IT investments

In-house IT departments are becoming obsolete in the manufacturing industry.  Cloud-based technologies are gaining more momentum and major manufacturing companies are planning to increase their investments in customer relationship management (CRM) tools. With the growing need to enhance cybersecurity, more companies will outsource their manufacturing technology and IT services to third parties who provide additional, value-added services. This change will also help small and medium-sized businesses to easily access the latest technologies with reduced investment requirements.

Customization in inventory management

Traditional inventory management systems will soon become outdated in the manufacturing industry. Companies will soon revamp their manufacturing technology and inventory management using advanced computer analytics systems to manage inventory in real-time. This has a variety of benefits including reducing overhead and improving operations, eliminating shrinkage due to theft, and avoiding damages and errors during shipping.

IoT and industry 4.0

IoT is rapidly becoming an indispensable element in manufacturing technology. With the help of this connected technology, manufacturing companies have streamlined and simplified various processes.  IoT in manufacturing technology can provide real-time inputs and alerts with which companies can easily detect defects or damaged goods. Such simple yet critical implementations of IoT helps reduce cost and wastage. Industry 4.0 is the current trend of automation and data exchange in manufacturing technology. This has given rise to smart factories in which cyber-physical systems evaluate the physical processes of the factory and make decentralized decisions.


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Customer data management

Top 3 Benefits of Manufacturing Analytics for Manufacturing Companies

Globally, the manufacturing industry has been subjected to a plethora of changes due to which manufacturing companies have started squeezing every asset for maximum value. One of the most common themes gaining traction in the manufacturing industry is the value that statistical processing brings to the overall manufacturing process. This process of statistical data processing is often referred to as manufacturing analytics. In our experience, a common belief among system integrators and end users is the fact that the ability to assess manufacturing data with complex algorithms has the potential to provide competitiveGet More Info_QZ advantage through increased efficiency and reduced dependency on staff experience.

The process of gathering data had started years back in regulated industries like pharmaceutical and healthcare and others soon followed suit. The trend of adopting manufacturing analytics is fueled by the idea that knowing what happens in the manufacturing process, can help manufacturing companies to diagnose and troubleshoot problems. Initially, manufacturing analytics was only used to study macroeconomics and demographics. But now, it is being used to identify patterns and correlations between unstructured data sets.

Here are some of the advantages of using manufacturing analytics for manufacturing companies:

  • Correlate data related to different process variables

While analyzing an unstructured data set, you may think that the data is not related to each other. However, with the help of advanced IT tools, data scientists can discover hidden correlations between different data sets. The information gathered is an integral part of the overall manufacturing analytics process since it can be leveraged for accurate and effective production management.

  • Better control manufacturing processes

Once a common pattern is established between the data sets, manufacturing analytics tools that were used to identify the pattern can now be utilized in real-time for process control purposes. Using effective manufacturing analytics tools can help manufacturing companies to improve both production efficiency and product quality. Since early detection gives the scope for timely action, manufacturing companies can avoid instances of plant downtime and boost efficiency.

  • Leverage personal knowledge

When we say, “leverage personal knowledge”, some of you might think how is that even relevant for manufacturing processes as the entire production cycle follows a preset model. However, with the help of manufacturing analytics, companies can gain a measurable representation of what the staff already knows from experience. Being able to formally represent such insights, will help manufacturing companies to reduce the impact of risks related to staff turnover. With the aid of manufacturing analytics, companies can effectively transform the insights gained from personal experience and leverage it to control processes independently.

Though we’ve spoken at length about the numerous benefits of manufacturing analytics, a key thing to note here is that manufacturing companies must invest heavily in technologies such as hardware systems and software suites. And that’s not all, companies must also invest in new people who can either be a part of the existing structure or external system integrators.


Quantzig is a pure-play analytics solution provider, specializing in offering solutions for manufacturing analytics, marketing analytics, predictive analytics, big data analytics, and many more. To know how our manufacturing analytics solutions can help you:

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