Reshaping Manufacturing Industry Through Data Analytics

Manufacturing companies collect vast amount of data; but interpreting that data correctly is what provides the accurate perception of business reality and the companies nowadays are using Data Analytics to stay ahead in the competition.

According to a research, manufacturing companies will spend approx $ 65.2 billion per year on manufacturing technology by 2021. Predictive maintenance can assist in making machines more stable and anticipated by monitoring their execution allowing us to see when problems are being started and make improvements and replacements before actual failures occur or cause other more costly problems.

By using machine learning we can enhance the efficiency and reduce costs in the manufacturing units. Devices create the meta-learning data model and are up to 250 percent extra accurate and 40 percent quicker than humans. It is a precise mixture of a variety of causes and data types that allows the most strong and precise predictive models.

To know more about us: http://canopusdatainsights.com/

Applications of Data Analytics in Manufacturing:

Product Design - Assists in analyzing the behavior of frequent consumers, the outcome can be delivery of goods in a timely and profitable manner. This also enables manufacturers to evenly and efficiently predict the need for customized products by recognizing patterns in customer behavior. Customized products can now be manufactured at near mass stock levels, costs, and effectiveness.

Predictive Maintenance - Predictive maintenance applies a number of tools and techniques to observe the state of your machines and equipment to predict when errors are going to occur by recognizing the symptoms of damage and other failures.

Managing Supply Chain Risk - Used in reducing risk in the delivery of raw materials, irrespective of any mishappening in the supply chain, by implementing this company can overlay potential delays on a map, analyzing weather statistics for tornadoes, earthquakes, hurricanes, etc. this allows the company to calculate the chances of delays. These analytics findings can be used to identify backup suppliers and develop emergency plans to make sure production isn’t disrupted by natural disaster.

An Indian Data Science Company, Canopus Data Insights is a leading provider of Data Science Products, Solutions and Services, to clients, from start-ups to large enterprises. It has expertise in generating insights from Manufacturing data and converting it into profitable business outcomes, be it Big Data or traditional data, structured or unstructured.

About the Company:

Canopus Data Insights provides Data Science and Data Analytics services that enable customer centricity by giving insight into data, which improves productivity and increases the depth of customer engagement and predictive modeling to predict device/machine failure. Canopus Data Insights has an extensive knowledge and experience working with many domains including Data Analytics, Machine Learning, Pattern Recognition, Statistics, Artificial Intelligence, Operations Research and Big Data.

Canopus Infosystems is an Iso 9001:2008 Certified Company that specializes in providing outsourced web & mobile development and testing services to clients worldwide.