INDUSTRY INSIGHTS YOUR PEERS ARE READING
The problem with having multiple sources of truth is that, when the data is input into these various solutions from different entry points, it will move between the systems and then exit from whichever system it happens to be in at the time. Moving towards Data Nirvana. MORE
Big data utilization is the wave of the future for all aspects of business including supply chain management. The problem is that not every company has the resources to begin the process of big data management and have yet to see the extent of benefits it can provide to analyze and use such data management. There are several direct and indirect benefits to using big data analytics for your supply chain. Immediate Benefits of Big Data Analytics. MORE
Manufacturing Must Be Data-Driven. One of the most common misconceptions about manufacturing is that it’s data-driven. Thankfully, they can all be mitigated with data. Why Data Is a Unique Asset for Manufacturers. Data is one of the most important assets for all companies. MORE
Data is crucial for any organisation to flourish. Data can come from multiple sources and can result in a host of complications and inefficiencies, as there might be a duplication of data or an incorrect filling of information. Improve data governance. MORE
Suddenly, discussions seem to treat big data as a driver for incredible innovation. Assuming that big data was superior to “just any data” came from evidence in the B2C market, but this did not stop bold predictions about how it could also transform supply chain operation. MORE
However, even the best supply chains struggle with a recurring issue – data integrity. The alignment of demand and supply is more difficult because most, if not all, supply chains have data integrity issues. Successful supply chain planning starts with data. Why the data issues? MORE
I thought about the transition from “push” processes to greater use of demand pull in replenishment; how retailers are sharing downstream POS data with their suppliers to develop a more efficient supply network; how multi-echelon inventory optimization […]. On Saturday I engaged in a rare weekend activity for myself – I actually thought about supply chain. MORE
Sustainability is created at the source of our products, services, and consumption. Sustainability is created from Responsible Sourcing. How can you make Responsible Sourcing a Reality? in this case, responsible sourcing. Source Smarter. Source: Purina. MORE
You've got fast fashion , global competition, changing demographics, seismic political shifts, demanding consumers, product innovation, and throw in an NGO or two pushing for ethical sourcing and sustainability (rightfully so). MORE
Big data is more than a buzz term, and if you are a strategic sourcing professional, it is a concept that should not be ignored. Big data is about synthesizing and making sense of information — better and quicker than your competition. MORE
Making informed decisions fast comes down to collaboration – how effectively the data, processes and people who oversee the supply chain can connect, communicate and interact with one another. Let’s zero in on the first of the “disconnects” explored in the eBook – data. MORE
However, if your role is managing the movement of widgets from point A to point B, or multiple points, the freight procurement task before you can be labor intensive and time consuming — unless you use a technology solution specifically designed for transportation sourcing. Data rules. 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
Source: Supply Chain Insights, “The Power of Downstream Data”, July 2017. POS data helps sense and respond to localized demand. Downstream data is the demand data that powers a market-driven, “outside-in” supply chain. MORE
Satellite imagery data represents another data set that may have the potential to improve company’s supply chains. The post Using Satellite Imagery as a Data Source to Improve Supply Chain Management appeared first on Logistics Viewpoints. MORE
Since its inception in the late 1980s, strategic sourcing has always been about getting the best value for the goods and services purchased from third party suppliers. The processes and strategies driving supply chain management success are evolving and strategic sourcing is being redefined. MORE
Many CPO’s and CSCO’s today complain about being overwhelmed with the amount of internal and external data they are being asked to analyze to create improved supply chain outcomes. The volume and velocity of data streaming at us is increasing exponentially, with an often quoted statistic that 90% of the data in the world has been generated in the last five years. Data Analyst. A data analyst is the most tactical of the four titles. Data Scientist. MORE
Marketplace pressures have forced procurement professionals to abandon traditional sourcing practices and implement more responsive strategies designed to promote organizational efficiency, agility and flexibility for growth, not to mention cost reductions. MORE
Data accuracy. An estimated 80% of relevant data is unstructured. But, in transportation there are many sources of structured data to provide business intelligence. 3PL Shippers Big Data MORE
Today, however, one is more likely to read about data silos in businesses than storage silos on farms. Business silos, and the data contained in them, are remnants of industrial age organizations. Sullivan asserts siloed data and information are among the most deleterious characteristics of industrial age enterprises. “It It turns out one of the biggest obstacles to turning data into actionable insight.” The problem with data silos. Eliminating data silos. 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
They write, “Manufacturing matters to the United States because it provides high-wage jobs, commercial innovation (the nation’s largest source), a key to trade deficit reduction, and a disproportionately large contribution to environmental sustainability.”[1] ”[1] Manufacturing becomes even more relevant to advanced economies thanks to data and digitization. We tend to focus our attention on what is new about the era of big data. MORE
Over the past few years, as supply chains have grown in scale and complexity, so has the logistics sourcing process. Mature sourcing organizations, which have been doing traditional sourcing and category management, are starting to plateau in terms of savings and impact to their organizations, yet each year are faced with increasing savings mandates and pressure to improve performance. How are companies achieving better outcomes by using data-driven optimization? MORE
Unfortunately, many retailers are jumping in without a plan — that is, they are taking a short-term, silo’ed approach to transportation sourcing and execution, and as a result, are failing to meet their desired outcomes. Also, is multi-functional engagement important and, how does omni-channel impact transportation sourcing? According to Joe, enVista’s Director of Transportation, “The key to omni-channel sourcing is that it requires you to understand your goals and objectives. 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
Having been in the game of supply chain analytics for so long, we’ve noticed that data is the single biggest challenge our customers and consultants encounter. With the right approach, data challenges can become an issue of the past. Source. MORE
But weather data adds a more granular time-sensitive signal. But it is amenable to machine learning , which can crunch enormous amounts of data. You input the data, and let the machine “understand” the demand latency depending on product and area. Source: NYCCSC. 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
Demand Sensing can import demand data on an hourly rather than a batch or daily basis, immediately sensing demand signal changes as compared to a detailed statistical demand pattern, and then evaluates the statistical significance of the change. What About The Data? Nic McPhee/Flickr. MORE
Below is an excerpt from a report published recently by Amber Road and the American Association of Exporters and Importers (AAEI) titled “ The Trade Trends Report: 2017 Report on Sourcing, Trade, and e-commerce.” Sourcing decisions can complicate or simplify this process. MORE
That’s the question many supply chain practitioners are asking themselves in this world of big data, where a flood of new information is rapidly becoming readily available. It’s not about how much data you have, but the quality of that data. by Alexa Cheater How much is too much? MORE
Who could ever need to store that much data? That was “Big Data” Let’s fast forward to today. quintillion bytes of data are generated every day. That is a lot of data … That is Big Data! How Big is Big Data? So What is Big Data? MORE
Thanks to data gathering programs, supply chain software , and data entry applications, this represents a mountain of data, which has the potential to provide ground-breaking insight into how to improve business-model efficiency. As a result, business leaders can reap a significant return on investment by thoroughly analyzing this data. What Is Supply Chain Big Data? Supply Chain big data is the ultimate compilation of data gathered in the course of business. MORE
According to a July 2014 supply chain research study from Accenture focused on Big Data and supply chain risk management, most organizations have high hopes for using big data analytics in their supply chain but many have had challenges in deploying it. There are a number of challenges when adopting and deploying a data analytics solution, and it’s important for organizations to clearly define their goals and objectives before embarking on this endeavor. MORE
Logistics Viewpoints
JULY 1, 2019
Satellite imagery data represents another data set that may have the potential to improve company’s supply chains. The post Using Satellite Imagery as a Data Source to Improve Supply Chain Management appeared first on Logistics Viewpoints.
Talking Logistics
DECEMBER 6, 2017
Below is an excerpt from a report published recently by Amber Road and the American Association of Exporters and Importers (AAEI) titled “ The Trade Trends Report: 2017 Report on Sourcing, Trade, and e-commerce.” Sourcing decisions can complicate or simplify this process.
Talking Logistics
OCTOBER 7, 2015
Over the past few years, as supply chains have grown in scale and complexity, so has the logistics sourcing process. Mature sourcing organizations, which have been doing traditional sourcing and category management, are starting to plateau in terms of savings and impact to their organizations, yet each year are faced with increasing savings mandates and pressure to improve performance. How are companies achieving better outcomes by using data-driven optimization?
HICX Solutions
MAY 1, 2019
The problem with having multiple sources of truth is that, when the data is input into these various solutions from different entry points, it will move between the systems and then exit from whichever system it happens to be in at the time. Moving towards Data Nirvana.
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A Blueprint For Supply Chain Transformation The Data First Approach Introduction Over the past few decades, supply chains have evolved from a sub-function. sources of value for customers. supply chain is data. what data they do have to their advantage. Data Access.
Talking Logistics
APRIL 29, 2015
Unfortunately, many retailers are jumping in without a plan — that is, they are taking a short-term, silo’ed approach to transportation sourcing and execution, and as a result, are failing to meet their desired outcomes. Also, is multi-functional engagement important and, how does omni-channel impact transportation sourcing? According to Joe, enVista’s Director of Transportation, “The key to omni-channel sourcing is that it requires you to understand your goals and objectives.
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Talking Logistics
FEBRUARY 18, 2016
However, if your role is managing the movement of widgets from point A to point B, or multiple points, the freight procurement task before you can be labor intensive and time consuming — unless you use a technology solution specifically designed for transportation sourcing. Data rules.
Cerasis
SEPTEMBER 23, 2015
Thanks to data gathering programs, supply chain software , and data entry applications, this represents a mountain of data, which has the potential to provide ground-breaking insight into how to improve business-model efficiency. As a result, business leaders can reap a significant return on investment by thoroughly analyzing this data. What Is Supply Chain Big Data? Supply Chain big data is the ultimate compilation of data gathered in the course of business.
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 ?
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.
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Supply Chain Data Maturity A Guide to Transformation. data have been at the heart of panel and networking conversations. speakers are professing "data got sexy" and data is now a core strategy for. that has fallen short, comes back to the same root failure; the data was.
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Amber Road
APRIL 23, 2019
You've got fast fashion , global competition, changing demographics, seismic political shifts, demanding consumers, product innovation, and throw in an NGO or two pushing for ethical sourcing and sustainability (rightfully so).
Talking Logistics
APRIL 17, 2018
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?”
ivalua
JUNE 24, 2015
Big data is more than a buzz term, and if you are a strategic sourcing professional, it is a concept that should not be ignored. Big data is about synthesizing and making sense of information — better and quicker than your competition.
ivalua
JULY 15, 2015
Since its inception in the late 1980s, strategic sourcing has always been about getting the best value for the goods and services purchased from third party suppliers. The processes and strategies driving supply chain management success are evolving and strategic sourcing is being redefined.
Advertisement
Yet despite mountains of data available in today’s global supply chain, the. ability to harness this data and efficiently execute global logistics remains challenging. By utilizing the already-captured data from. own data and generate intelligence to. External data.
20Cube Logistics
OCTOBER 8, 2019
Data is crucial for any organisation to flourish. Data can come from multiple sources and can result in a host of complications and inefficiencies, as there might be a duplication of data or an incorrect filling of information. Improve data governance.
USC Consulting Group
JANUARY 16, 2019
Marketplace pressures have forced procurement professionals to abandon traditional sourcing practices and implement more responsive strategies designed to promote organizational efficiency, agility and flexibility for growth, not to mention cost reductions.
Talking Logistics
JUNE 21, 2016
Having been in the game of supply chain analytics for so long, we’ve noticed that data is the single biggest challenge our customers and consultants encounter. With the right approach, data challenges can become an issue of the past. Source.
PLS Logistics
FEBRUARY 9, 2017
Data accuracy. An estimated 80% of relevant data is unstructured. But, in transportation there are many sources of structured data to provide business intelligence. 3PL Shippers Big Data
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THE "DATA PROBLEM". supply chains with data and gaining better. access to that data, making sense of that. data, and using in a fundamentally. Why Solving the "Data Problem" Is the First-Step and the. one has solved the underlying data. data problem?,
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.
Supply Chain Game Changer
NOVEMBER 21, 2018
Who could ever need to store that much data? That was “Big Data” Let’s fast forward to today. quintillion bytes of data are generated every day. That is a lot of data … That is Big Data! How Big is Big Data? So What is Big Data?
NC State SCRC
OCTOBER 7, 2019
Many CPO’s and CSCO’s today complain about being overwhelmed with the amount of internal and external data they are being asked to analyze to create improved supply chain outcomes. The volume and velocity of data streaming at us is increasing exponentially, with an often quoted statistic that 90% of the data in the world has been generated in the last five years. Data Analyst. A data analyst is the most tactical of the four titles. Data Scientist.
Enterra Insights
MARCH 18, 2019
Today, however, one is more likely to read about data silos in businesses than storage silos on farms. Business silos, and the data contained in them, are remnants of industrial age organizations. Sullivan asserts siloed data and information are among the most deleterious characteristics of industrial age enterprises. “It It turns out one of the biggest obstacles to turning data into actionable insight.” The problem with data silos. Eliminating data silos.
Cerasis
AUGUST 7, 2015
Big data utilization is the wave of the future for all aspects of business including supply chain management. The problem is that not every company has the resources to begin the process of big data management and have yet to see the extent of benefits it can provide to analyze and use such data management. There are several direct and indirect benefits to using big data analytics for your supply chain. Immediate Benefits of Big Data Analytics.
Logistics Viewpoints
JUNE 10, 2015
I thought about the transition from “push” processes to greater use of demand pull in replenishment; how retailers are sharing downstream POS data with their suppliers to develop a more efficient supply network; how multi-echelon inventory optimization […]. On Saturday I engaged in a rare weekend activity for myself – I actually thought about supply chain.
Kinaxis
OCTOBER 31, 2016
Making informed decisions fast comes down to collaboration – how effectively the data, processes and people who oversee the supply chain can connect, communicate and interact with one another. Let’s zero in on the first of the “disconnects” explored in the eBook – data.
The Network Effect
MAY 4, 2015
Demand Sensing can import demand data on an hourly rather than a batch or daily basis, immediately sensing demand signal changes as compared to a detailed statistical demand pattern, and then evaluates the statistical significance of the change. What About The Data? Nic McPhee/Flickr.
ToolsGroup
AUGUST 8, 2017
Source: Supply Chain Insights, “The Power of Downstream Data”, July 2017. POS data helps sense and respond to localized demand. Downstream data is the demand data that powers a market-driven, “outside-in” supply chain.
ThroughPut
SEPTEMBER 29, 2019
Manufacturing Must Be Data-Driven. One of the most common misconceptions about manufacturing is that it’s data-driven. Thankfully, they can all be mitigated with data. Why Data Is a Unique Asset for Manufacturers. Data is one of the most important assets for all companies.
ToolsGroup
DECEMBER 6, 2016
But weather data adds a more granular time-sensitive signal. But it is amenable to machine learning , which can crunch enormous amounts of data. You input the data, and let the machine “understand” the demand latency depending on product and area. Source: NYCCSC.
DELMIA Quintiq
NOVEMBER 3, 2015
Suddenly, discussions seem to treat big data as a driver for incredible innovation. Assuming that big data was superior to “just any data” came from evidence in the B2C market, but this did not stop bold predictions about how it could also transform supply chain operation.
Kinaxis
JULY 13, 2016
That’s the question many supply chain practitioners are asking themselves in this world of big data, where a flood of new information is rapidly becoming readily available. It’s not about how much data you have, but the quality of that data. by Alexa Cheater How much is too much?
Kinaxis
DECEMBER 6, 2017
However, even the best supply chains struggle with a recurring issue – data integrity. The alignment of demand and supply is more difficult because most, if not all, supply chains have data integrity issues. Successful supply chain planning starts with data. Why the data issues?
Enterra Insights
MAY 22, 2019
They write, “Manufacturing matters to the United States because it provides high-wage jobs, commercial innovation (the nation’s largest source), a key to trade deficit reduction, and a disproportionately large contribution to environmental sustainability.”[1] ”[1] Manufacturing becomes even more relevant to advanced economies thanks to data and digitization. We tend to focus our attention on what is new about the era of big data.
Talking Logistics
SEPTEMBER 18, 2014
According to a July 2014 supply chain research study from Accenture focused on Big Data and supply chain risk management, most organizations have high hopes for using big data analytics in their supply chain but many have had challenges in deploying it. There are a number of challenges when adopting and deploying a data analytics solution, and it’s important for organizations to clearly define their goals and objectives before embarking on this endeavor.
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