Your one-stop access to the most useful and up-to-date articles, tutorials, reports and case studies on Big Data - Disruptive Innovations & Technology in Logistics.
This library collection is updated on a regular basis. Within each section, the items are listed in chronological order, with the latest and newest item on top.
1. General (30)
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by Thomas Sørbø May 15, 2017 1 view, 1 like  |
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by Kevin Rands Mar 31, 2017 1 view, 1 like |
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by Thalia McMillan Dec 21, 2016 1 view, 1 like | |
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by Sharjeel Siddiqui Dec 19, 2016 1 view, 1 like |
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by Kevin Jessop Nov 16, 2016 1 view, 1 like | |
by Kevin Jessop Nov 14, 2016 1 view, 1 like | |
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Nov 2, 2016 1 view, 1 like | |
Big Data Analytics provide insights about buying patterns of customers, market trends, and maintenance cycles. It highlights the methods to lower cost and facilitates a targeted decision making process. In logistics and supply chain management, big data helps in improving competitiveness, efficiency and productivity. | |
The unique challenge facing food logistics providers is the nature of the cargo. With perishable items often onboard, it’s even more important for shipments to be on time. The less they’re on a truck, the more time grocers or restaurants have to sell them.
Organizations must maintain a real-time view of the holistic supply chain that connects restaurants with the entire logistics ecosystem. But that’s no easy task when you consider all of the information passing among geo-distributed people and systems, including purchase orders, invoices, route maps, truck logs, sensor data and financial information. | |
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cialis online cheap Shumaev KB, Ruuge EK, Lankin VZ, and et al |
What has changed everything is the advent of unstructured data. Structured data has well defined fields, and we’ve always provided solutions around it, but the volume of unstructured data is growing and growing. | |
by Chad Sonnhalter Apr 18, 2016 1 view, 1 like | |
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Here are several big data projects related to the logistics sector: 1) Volume Analysis 2) Parcel Heath Data 3) Routing Economy 4) Transparency for Management 5) Transparency for End Client 6) Campaigns and Web Analytics 7) HelpLine by Zeeshan Javeed Feb 18, 2016 1 view, 1 like |
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How Big Data can help the Supply Chain and Logistics industry: Business Planning, Operations and Customers by Writika Bhaskar Jan 25, 2016 1 view, 1 like | |
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Aug 11, 2015 1 view, 1 like |
“Big Data in Logistics,” a current trend report from DHL, looks at the question of whether the huge data volumes in the industry can be turned into better knowledge for improved decision-making. | |
In the logistics industry Big Data analytics can provide competitive advantage because of five distinct properties (1) Optimization of service properties, such as delivery time, resource utilization and geographical coverage. (2) The delivery of tangible goods - Big Data concepts provide versatile analytic means in order to generate valuable insight on consumer sentiment and product quality. (3) Seamless integration of logistics solutions into production and distribution processes. (4) Using the transportation and delivery network as a high-resolution source of data, to provide valuable insight on the global flow of goods.” (5) Leveraging data from local and decentralized operations. Processing information from a fleet of vehicles moving across the country creates a valuable zoom display for demographic, environmental and traffic statistics. by Alan M. Field Jun 13, 2014 1 view, 1 like |
2. Case Study (1)
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3. Youtube (3)
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Cubic Corporation Sep 26, 2014 1 view, 1 like |
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Chris Curran describes the evolution of The Internet of Things, its adoption by the business sector, and the inevitable merge with big data. Curran is the Chief Technologist at PwC. PwC Aug 7, 2014 1 view, 1 like |
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ExplainingComputers Jun 16, 2012 1 view, 1 like |
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