Big data analytics plays a huge role in improving supply chain management, because it helps out various parts of a company, like:
Big data helps companies focus more on things like:
In this article, we'll explain the 8 reasons why supply chain management benefits from the analytics generated by big data.
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It's important to have product traceability in your supply chain operations. With great product traceability, supply chain managers can easily trace a product by using barcode scanners and radio frequency identification devices attached to certain products. With big data, businesses can gather accurate product information, so that operators can carry out a successful distribution cycle – from production to retail.
If you're wary about risks that can happen in supply chain management, then fear not! Big data ensures that supply chain analytics will help determine the unknown and known risks. Analytics can also forecast future risks by identifying patterns and trends that occur within the supply chain.
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In the sourcing process, supply chains will work with vendors. This process consists of:
Now, keep in mind that these tasks don't include variables such as:
Big data allows you to connect all status and pricing data from your vendors worldwide.
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The cloud lets you save the data that you can use later on to handle supply chain management in a number of ways. By storing your data in the cloud, metrics are unified and updated in real time. As a result, in-depth analytics can be used to provide insights, including:
If you're a big-box retailer or an online store, and you have a sizeable inventory, you'll most likely run into several issues. But with big data, analytics allows operation managers to get a real-time overview of operations and identify anything that might be hindering supply chain processes. Plus, consumer trends show businesses how to promote great products, while optimize inventory.
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Nowadays, many businesses can't function without big data, because the analytics tell them how consumer behavior and usage patterns are faring. With this valuable information at businesses' fingertips, they can find new ways to retain their customers and increase sales.
Fulfillment analytics can help maximize revenue and retain customers by having supply chain management look at both customer fulfillment and the warehouse itself. This allows management to formulate the final steps of production. Such data will have management keep the following objectives in mind:
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Finally, big data can help businesses see what's to come in future projects. If you want to get ahead of the curve, then look at the data. Companies can leverage analytics to process both unstructured and structured data, and formulate predictions on what can happen if something goes wrong, or what's to come based on any trends and issues, thus reducing risks.
So, you see, big data analytics – unified and leveraged – can help supply chain management oversee production from start to finish. In other words, companies will see a bigger picture by putting all the data into one place, and analyzing processes (i.e. sourcing, warehousing, etc.) within an established database.
By taking into account the benefits that big data can bring to supply chain management, you'll see that analytics is essential to ensuring a steady flow of production and business.
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About the Author
Katherine Rundell is a supply chain writer. She is also a proofreader at Writingpopulist and Top Canadian Writers. As a professional writer, she specializes in analytics, tech trends, and digital advertising. Also, she is a blogger at UKWritings.