INDUSTRY INSIGHTS YOUR PEERS ARE READING
This created a big need in the market that has been filled through the advent of cloud computing, which allows large amounts of data to be collected and stored easily and inexpensively. The trend is now towards being data-driven with the data dictating the strategies. As a result, shippers essentially have gone from subjectively strategic, using strategies based on hunches, to objectively strategic with strategies driven by data. MORE
This created a big need in the market that has been filled through the advent of cloud computing, which allows large amounts of data to be collected and stored easily and inexpensively. The trend is now towards being data-driven with the data dictating the strategies. As a result, shippers essentially have gone from subjectively strategic, using strategies based on hunches, to objectively strategic with strategies driven by data. MORE
The amount of information and improvement possible through big data can be overwhelming. Yet the majority of companies have not defined a big data strategy, and others are barely starting to notice. . �. How to Get Started with Your Big Data Strategy. . MORE
Big data applications are already impacting supply chain entities around the globe, but some of its most interesting possibilities may have yet to be realized. 6 Benefits to Using Big Data Applications. MORE
Data-driven analytics enables you to make cost-effective transportation decisions. However for most shippers, parcel spend is poorly understood because shipping data is often locked up in point solution silos, such as carrier-provided systems and websites, in a variety of different formats. The first step is to collect all the data required to support optimal decision-making within the shipping function. Data TMS MORE
Companies large and small are susceptible to data breaches. Should you follow the example of a company like Equifax , which did everything wrong in a wake of a cybersecurity breach and incurred hundreds of millions of dollars in costs, not to mention a stain on its reputation? She’ll tell us how companies can take a proactive approach to a data breach, minimizing the damage and preserving their brand. Podcasts All Technology Big Data/IOT SC Finance & Revenue Mgmt. MORE
Advances in truck platooning and autonomous vehicles, for example, are increasing safety and decreasing fuel cost and emissions, allowing carriers to offer more efficient and cost-effective service. Improve Data Comprehension with Visualization. Interactivity of Transportation Data. MORE
Data reflect all the small, seemingly insignificant details of the modern world. From a review of your personal bank account spending habits to larger, more advanced processing capabilities, data evolve and expand with each passing day. Big data in supply chain is not a new concept. MORE
Modern supply chains are evolving beyond anyone’s expectations due to increased use of cloud-computing technologies, wearables and advanced data analysis. Powered by an increasing number of connected devices via the Internet of Things , automated data entry is empowering usable data and allowing more companies to replace legacy systems or integrate new technologies with existing systems. Data analysis is the companion of cloud-computing technologies. MORE
However, new software solutions that provide clean, accurate freight data are a huge step forward in making the carrier RFP process more efficient and effective. The process typically starts with gathering data from their freight payment provider or system. Then the user must clean the data to remove all the non-standard shipments, balance due bills or incorrect data. The Benefits of Using Big Data to Improve the RFP Process. Web/Tech Big Data Logistics RFP MORE
We conclude our series on supplier quality management (SQM) today with a look at some case studies and examples of benefits derived from the application of a supplier quality management system. Examples and Case Studies from the Implementation of a Supplier Quality Management System. MORE
How are these advancements improving the way data is shared in ocean transportation? Andrew explains that, “Due to regulatory changes, every truck has to have an [ELD] device for tracking data. This data is collected via APIs, eliminating the need for EDI transactions. The ability to share data is vastly expanded, providing more timely, accurate and robust information. Timely data is an important factor enabling them to do that. MORE
Supply chain management is a field where Big Data and analytics have obvious applications. Until recently, however, businesses have been less quick to implement big data analytics in supply chain management than in other areas of operation such as marketing or manufacturing. In 2013 the Journal of Business Logistics published a white paper calling for “crucial” research into the possible applications of Big Data within supply chain management. MORE
Again and again, digitization and data were at the heart of panel and networking conversations. Even headline speakers were professing “data got sexy” and data is now a core strategy for companies looking to succeed. and “What are we using the data for?” MORE
Supply chain leaders are enthralled with the idea of using big data, but they tend to fail to understand how to disseminate big data in their organization properly. Ask Traditional Questions, and Let Big Data Provide Answers. Data Leadership Supply Chain MORE
Through the use of connected devices and greater abilities to capture data in real time, the concept of end-to-end visibility and improvement thru the use of supply chain analytics has changed. For example, a shipment of potentially perishable or time-sensitive goods is delayed for 2.5 MORE
For example, the process of set up a new company doesn´t take more than 20 minutes what makes Estonia as one of the most entrepreneurship countries in the world and from where companies as Skype was set up. But can be that example be implemented in larger countries? [link]. MORE
Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. Generating Value from Data. MORE
Today we will go into detail on using the available data created in the processing of shipments within transportation management and other related logistics management for continuous improvement. . 6 Benefits of Using the Right Data in Logistics & Transportation Management for Continuous Improvement. Shipping processes revolve around a million-trucks-worth of data. Take a look at how your data can be used for continuous improvement across your organization. MORE
There are many buzzwords in the supply chain and logistics industry today, and perhaps there’s none bigger than “Big Data.” Everybody talks about it, but what does Big Data really mean? When it comes to leveraging Big Data effectively in your organization, where do you begin? What is Big Data? Like many buzzwords, Big Data means different things to different people. Big Data is not a Technology. This is true with Big Data too. MORE
Editor's Note: Today's blog is from our friend Derrick Rehn with FusionOps who shows us how big data analytics can benefit you in your supply chain. . The inevitable question that comes up often is simple – should we build on-site or utilize a cloud-based data monitoring service ? MORE
Editor's Note: This is a blog from our friend Augie Grasis who shows us how big data can work to our advantage with dynamic freight pricing. One of the big buzzwords in many industries is “Big Data.” Whether you realize it or not, the collection and use of customer and operational data affect a growing number of our everyday activities, whether it’s the type of coffee we are served at Starbucks, the ad we see in the sidebar of Facebook or the price we pay for an airline ticket. MORE
When you’re in the market for a TMS, it’s important to look beyond terms like SaaS or cloud in order to really understand your hosting options, how the data model will enable better business efficiencies and service, and the ease of integrations. Data Models Influence Flexibility. MORE
This article will focus on the proliferation of manufacturing data available in the industry, and how this data can improve business decisions. The Rise Of Manufacturing Data Analysis. This process is referred to as ‘data cleansing.’ Types Of Data To Collect. MORE
Examples of Real-World Use of Blockchain in Supply Chain & Logistics Some examples of application and use of blockchain in supply chain and logistics, reports DHL , include: Citizen Services – Blockchain technology can be used to verify the identity of individuals, and it is already in use by ID2020, helping those without access to a physical form of identification to verify their identity. The days of managing supply chains through databases and changing information are over. MORE
As one example, Lindbloom highlighted the rise of GPS-enabled mobile devices, which has made shipment tracking more affordable and widespread, and he also highlighted cloud computing and the growing use of APIs for integration. MORE
Data analytics can be applied to virtually any supply chain process, and analytics hold great value in managing retail supply chains. Although data analytics help retailers make informed decisions, the potential of blockchain is worth considering as well. Blockchain Data MORE
6 Benefits of Applying Useable Data in Logistics For Continuous Improvement. In this post we will talk about how you can improve your transportation management program by focusing on using data, extracted from the use of technology, such as a transportation management system, that then people can use to continuously improve. The Use of Data to Create a Successful Transportation Management Program. Businesses are often left with questions about the origination of such data. MORE
As global supply chains become more complex and customers more demanding, the race is on to develop software applications that can effectively manage and make sense of the zettabytes of data being generated by our digital world. Defined as the massive volume of structured and unstructured data that can’t possibly be processed using traditional software or database strategies, Big Data is affecting every corner of the business world. Take pricing, for example. MORE
In a recent study, MIT found that companies that focus on 5 key initiatives to improve their supply chain data can have a big impact on their bottom line. Obstacles to fully utilizing analytics included inaccurate data , cost, and lack of timely data. for example, used predictive analytics to make changes in their inventory processes and have since seen an increase in their production and purchase orders. Supply chain data initiatives need a top-down mandate. MORE
When you want to drive down your logistics and transportation spend, the very first thing that you need is freight and transportation data. Without hard data, you can’t take action. However, as we’ve noted in a previous post, getting the right data is key as well. MORE
Overcoming Retailers Delivery Requirements with Data Reporting . The main goal of the report is to help CPG companies better understand how their delivery performance compares to industry peers, and enables businesses to use timely market data to drive improvement within their supply chains. MORE
You Have A Good Amount Of Historical Data. If you have worked with the same carriers on similar types of projects for many years, this historical data is an asset for your company. Learning how to take full advantage of a TMS allows shippers to glean insights from their historical data. MORE
However, new software solutions that provide clean, accurate freight data are a huge step forward in making the carrier RFP process more efficient and effective. The process typically starts with gathering data from their freight payment provider or system. Then the user must clean the data to remove all the non-standard shipments, balance due bills or incorrect data. The Benefits of Using Big Data to Improve the RFP Process. Web/Tech Big Data Logistics RFP MORE
Logistics at MPEPS at UPV
APRIL 8, 2018
For example, the process of set up a new company doesn´t take more than 20 minutes what makes Estonia as one of the most entrepreneurship countries in the world and from where companies as Skype was set up. But can be that example be implemented in larger countries? [link].
Cerasis
JUNE 11, 2015
We conclude our series on supplier quality management (SQM) today with a look at some case studies and examples of benefits derived from the application of a supplier quality management system. Examples and Case Studies from the Implementation of a Supplier Quality Management System.
Cerasis
JULY 30, 2018
Examples of Real-World Use of Blockchain in Supply Chain & Logistics Some examples of application and use of blockchain in supply chain and logistics, reports DHL , include: Citizen Services – Blockchain technology can be used to verify the identity of individuals, and it is already in use by ID2020, helping those without access to a physical form of identification to verify their identity. The days of managing supply chains through databases and changing information are over.
Talking Logistics
MAY 7, 2018
There are many buzzwords in the supply chain and logistics industry today, and perhaps there’s none bigger than “Big Data.” Everybody talks about it, but what does Big Data really mean? When it comes to leveraging Big Data effectively in your organization, where do you begin? What is Big Data? Like many buzzwords, Big Data means different things to different people. Big Data is not a Technology. This is true with Big Data too.
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
Material Handling and Logistics
DECEMBER 14, 2018
Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. Generating Value from Data.
|
Talking Logistics
JULY 20, 2017
As one example, Lindbloom highlighted the rise of GPS-enabled mobile devices, which has made shipment tracking more affordable and widespread, and he also highlighted cloud computing and the growing use of APIs for integration.
Cerasis
DECEMBER 15, 2016
Editor's Note: Today's blog is from our friend Derrick Rehn with FusionOps who shows us how big data analytics can benefit you in your supply chain. . The inevitable question that comes up often is simple – should we build on-site or utilize a cloud-based data monitoring service ?
Cerasis
JULY 17, 2015
This article will focus on the proliferation of manufacturing data available in the industry, and how this data can improve business decisions. The Rise Of Manufacturing Data Analysis. This process is referred to as ‘data cleansing.’ Types Of Data To Collect.
Transplace
JANUARY 31, 2019
Overcoming Retailers Delivery Requirements with Data Reporting . The main goal of the report is to help CPG companies better understand how their delivery performance compares to industry peers, and enables businesses to use timely market data to drive improvement within their supply chains.
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anecdotal data points (e.g., This means that if incorrect data. — or more likely insufficient data — is fed in, the. and is now evaluating large amounts of data that were not earlier methodically. Let’s take some examples of bias challenges in AI.
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Cerasis
SEPTEMBER 1, 2015
You Have A Good Amount Of Historical Data. If you have worked with the same carriers on similar types of projects for many years, this historical data is an asset for your company. Learning how to take full advantage of a TMS allows shippers to glean insights from their historical data.
Cerasis
NOVEMBER 17, 2016
Supply chain leaders are enthralled with the idea of using big data, but they tend to fail to understand how to disseminate big data in their organization properly. Ask Traditional Questions, and Let Big Data Provide Answers. Data Leadership Supply Chain
Talking Logistics
APRIL 17, 2019
How are these advancements improving the way data is shared in ocean transportation? Andrew explains that, “Due to regulatory changes, every truck has to have an [ELD] device for tracking data. This data is collected via APIs, eliminating the need for EDI transactions. The ability to share data is vastly expanded, providing more timely, accurate and robust information. Timely data is an important factor enabling them to do that.
Cerasis
OCTOBER 19, 2016
Editor's Note: This is a blog from our friend Augie Grasis who shows us how big data can work to our advantage with dynamic freight pricing. One of the big buzzwords in many industries is “Big Data.” Whether you realize it or not, the collection and use of customer and operational data affect a growing number of our everyday activities, whether it’s the type of coffee we are served at Starbucks, the ad we see in the sidebar of Facebook or the price we pay for an airline ticket.
Cerasis
MAY 1, 2018
Data-driven analytics enables you to make cost-effective transportation decisions. However for most shippers, parcel spend is poorly understood because shipping data is often locked up in point solution silos, such as carrier-provided systems and websites, in a variety of different formats. The first step is to collect all the data required to support optimal decision-making within the shipping function. Data TMS
Cerasis
NOVEMBER 16, 2016
The amount of information and improvement possible through big data can be overwhelming. Yet the majority of companies have not defined a big data strategy, and others are barely starting to notice. . �. How to Get Started with Your Big Data Strategy. .
Cerasis
FEBRUARY 24, 2015
When you want to drive down your logistics and transportation spend, the very first thing that you need is freight and transportation data. Without hard data, you can’t take action. However, as we’ve noted in a previous post, getting the right data is key as well.
Cerasis
NOVEMBER 11, 2016
Data reflect all the small, seemingly insignificant details of the modern world. From a review of your personal bank account spending habits to larger, more advanced processing capabilities, data evolve and expand with each passing day. Big data in supply chain is not a new concept.
Logistics Problem Solving
DECEMBER 8, 2017
However, new software solutions that provide clean, accurate freight data are a huge step forward in making the carrier RFP process more efficient and effective. The process typically starts with gathering data from their freight payment provider or system. Then the user must clean the data to remove all the non-standard shipments, balance due bills or incorrect data. The Benefits of Using Big Data to Improve the RFP Process. Web/Tech Big Data Logistics RFP
Logistics Problem Solving
DECEMBER 8, 2017
However, new software solutions that provide clean, accurate freight data are a huge step forward in making the carrier RFP process more efficient and effective. The process typically starts with gathering data from their freight payment provider or system. Then the user must clean the data to remove all the non-standard shipments, balance due bills or incorrect data. The Benefits of Using Big Data to Improve the RFP Process. Web/Tech Big Data Logistics RFP
Talking Logistics
SEPTEMBER 18, 2018
Advances in truck platooning and autonomous vehicles, for example, are increasing safety and decreasing fuel cost and emissions, allowing carriers to offer more efficient and cost-effective service. Improve Data Comprehension with Visualization. Interactivity of Transportation Data.
Supply Chain Brain
JUNE 29, 2018
Companies large and small are susceptible to data breaches. Should you follow the example of a company like Equifax , which did everything wrong in a wake of a cybersecurity breach and incurred hundreds of millions of dollars in costs, not to mention a stain on its reputation? She’ll tell us how companies can take a proactive approach to a data breach, minimizing the damage and preserving their brand. Podcasts All Technology Big Data/IOT SC Finance & Revenue Mgmt.
Cerasis
NOVEMBER 12, 2015
Today we will go into detail on using the available data created in the processing of shipments within transportation management and other related logistics management for continuous improvement. . 6 Benefits of Using the Right Data in Logistics & Transportation Management for Continuous Improvement. Shipping processes revolve around a million-trucks-worth of data. Take a look at how your data can be used for continuous improvement across your organization.
Cerasis
AUGUST 20, 2018
Data analytics can be applied to virtually any supply chain process, and analytics hold great value in managing retail supply chains. Although data analytics help retailers make informed decisions, the potential of blockchain is worth considering as well. Blockchain Data
Cerasis
NOVEMBER 19, 2015
6 Benefits of Applying Useable Data in Logistics For Continuous Improvement. In this post we will talk about how you can improve your transportation management program by focusing on using data, extracted from the use of technology, such as a transportation management system, that then people can use to continuously improve. The Use of Data to Create a Successful Transportation Management Program. Businesses are often left with questions about the origination of such data.
Logistics Problem Solving
JUNE 30, 2017
This created a big need in the market that has been filled through the advent of cloud computing, which allows large amounts of data to be collected and stored easily and inexpensively. The trend is now towards being data-driven with the data dictating the strategies. As a result, shippers essentially have gone from subjectively strategic, using strategies based on hunches, to objectively strategic with strategies driven by data.
Cerasis
NOVEMBER 18, 2016
Big data applications are already impacting supply chain entities around the globe, but some of its most interesting possibilities may have yet to be realized. 6 Benefits to Using Big Data Applications.
Cerasis
NOVEMBER 21, 2017
In a recent study, MIT found that companies that focus on 5 key initiatives to improve their supply chain data can have a big impact on their bottom line. Obstacles to fully utilizing analytics included inaccurate data , cost, and lack of timely data. for example, used predictive analytics to make changes in their inventory processes and have since seen an increase in their production and purchase orders. Supply chain data initiatives need a top-down mandate.
Cerasis
MARCH 7, 2016
Through the use of connected devices and greater abilities to capture data in real time, the concept of end-to-end visibility and improvement thru the use of supply chain analytics has changed. For example, a shipment of potentially perishable or time-sensitive goods is delayed for 2.5
Logistics Problem Solving
JUNE 30, 2017
This created a big need in the market that has been filled through the advent of cloud computing, which allows large amounts of data to be collected and stored easily and inexpensively. The trend is now towards being data-driven with the data dictating the strategies. As a result, shippers essentially have gone from subjectively strategic, using strategies based on hunches, to objectively strategic with strategies driven by data.
Cerasis
JANUARY 16, 2017
Modern supply chains are evolving beyond anyone’s expectations due to increased use of cloud-computing technologies, wearables and advanced data analysis. Powered by an increasing number of connected devices via the Internet of Things , automated data entry is empowering usable data and allowing more companies to replace legacy systems or integrate new technologies with existing systems. Data analysis is the companion of cloud-computing technologies.
The Logistics Academy
OCTOBER 18, 2017
As global supply chains become more complex and customers more demanding, the race is on to develop software applications that can effectively manage and make sense of the zettabytes of data being generated by our digital world. Defined as the massive volume of structured and unstructured data that can’t possibly be processed using traditional software or database strategies, Big Data is affecting every corner of the business world. Take pricing, for example.
Talking Logistics
FEBRUARY 20, 2018
When you’re in the market for a TMS, it’s important to look beyond terms like SaaS or cloud in order to really understand your hosting options, how the data model will enable better business efficiencies and service, and the ease of integrations. Data Models Influence Flexibility.
The Logistics Academy
OCTOBER 4, 2016
Supply chain management is a field where Big Data and analytics have obvious applications. Until recently, however, businesses have been less quick to implement big data analytics in supply chain management than in other areas of operation such as marketing or manufacturing. In 2013 the Journal of Business Logistics published a white paper calling for “crucial” research into the possible applications of Big Data within supply chain management.
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