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How to improve your supply chain with data visualization techniques

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Posted by : Vidita Mehta on | Nov 25,2019

How to improve your supply chain with data visualization techniques

How to improve your supply chain with data visualization techniques?

 Any organisations that has a physical presence and deals in goods that are tangible is bound to run into supply chain optimization issues. Any item when shipped poorly can result in a loss of revenue for a business whether it is due to poor driving or glitches at distribution centers. While moving a product across a city or cross country for that matter is never easily attainable, the method of data visualization can help identify errors in the supply chain of a business. Data visualization is a part of extensive data science courses are offered cross institutions excelling in data science. 

Basics of data visualization from a business point of view

Data visualization is almost like added an overlay of product delivery chains across the country; only that it is not as simple, especially when it comes to collating or collecting extensive data. If you have a list of specific problems to be handled and data points that need to be analyzed, data visualization can help you understand what the points of congestion are, if placements of distribution centers are efficient or not and most importantly conduct a cost analysis estimate for distribution.

Every component is crucial while converting data into an easily readable format, however, the transition of numbers into results need to be recorded. Hence, unless data is used at the end, the analysis is merely a collection of numbers. To reach an effective solution, the secured data first needs to be put to use instead of letting it remain in a tangible raw format. The concept of data visualization is highly useful to a multitude of businesses owning to its flexibility in adapting to ideas and platforms.

As big data is making its foray into our daily lives, the importance of formatting the data, presenting it in a readable format to beneficiaries and more, is only increasing. Data visualization helps to keep out irrelevant information while only drawing importance to those that help the user gain useful insights. The whole idea is to provide users with data that is relevant to their needs and requirements. The concept of presenting data in a format that is attractive and appealing to gain the user’s attention almost instantly and help them bring about changes through the insightful knowledge they have gained is called data visualization training.

 How to use data visualization techniques in supply chain management

Data visualization improves the whole dynamics of supply chain management on a macro level. From demand planning, execution, ensuring doorstep delivery and more, data insights coupled with visualization can help in putting perspectives in place. It also helps to identify various data points that are correlated to supply chain management. For example, data visualization can help you identify the details of a delivery the route, and also look at alternate options for transportation routes.

Research has stated that data visualization helps a user to learn and memorize better since it works on the concept of influencing your brain with photographic memories than just mere texts. In terms of supply chain management, data visualization techniques like understanding the geographical location and mapping the same, predicting other external factors that might come into play and may affect the shipping and the delivery process of equipment turn out to be quite insightful.

Companies are spending more time understanding how they can improve their internal operations using data visualization techniques, including boosting performances and improving inventory management techniques.

 Conclusion

The scope of data visualizations in the field of supply chain management is immense. From analyzing and simplifying complex data to making changes that reduce real-life operational time, data visualization has changed the face of supply chain management.

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