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
By definition, the work is data driven and I am able to experience more input as an analyst through a greater variety of experiences than if I was a consultant. Embrace the Iconoclast in the Data-Driven Organization. Supply chain leaders are swimming in data and they want insights. MORE
Taken together, these myths have given rise to the ‘leap before you look’ approach to big data that’s already ending in crashes. You may not need big data after all. What’s more likely is that most supply chains will need big data. You’ve probably heard them already. MORE
While Hadoop has a future in supply chain management, because of the massive amounts of data generated, so do plenty of other big data technologies. My earlier blog (What is Hadoop and Why Should a Supply Chain Professional Care?) MORE
The company focuses on high tech industries such as telecome , data storage, data centers, bio-medicine, and any company who needs supply chain visibility and proactive supply chain services for replacement parts and more. All of these factors make using big data valuable. MORE
Making decisions based on bad data (supply chain data accuracy). In addition to losing customers like me, those mistakes result in bad data that cost manufacturing companies millions of dollars. Bad data in supply chain seems like it should be a minor thing. MORE
The Regulation’s Impact on Ocean Shipping and Data Management. The Regulation and Data Management. However, in today’s information-driven supply chain, data often flows in parallel with the passage of freight. 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
by Palvashah Durrani The Devil is in the Data Details: Entering a New Global Market. One of these challenges that you might not think of immediately is big data in your supply chain —specifically the quality of your data. Here are 7 data issues you might need to watch out for: 7. MORE
Today I want to go a step further and show how Big Data and application development are handled within these new environments. First, today’s advanced cloud platforms provide a flexible architecture that enables the aggregation, storage, querying, processing, and analyzing of Big 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
Perhaps it’s because I’m a Millennial, part of Generation Y, and came of age at the same time the internet did, but my very first thought was of course there’s such a thing as non-traditional supply chain – just look at the data! Anyone who works in traditional supply chain knows data is king. 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
by Bill DuBois A recent article on CFO points to a topic gaining strong momentum in the business press: the supply chain is the next big thing for big data to address. Yet only eight percent of shippers and five percent of 3PLs have implemented big data initiatives in their supply chain. MORE
Right now we are seeing a tremendous increase in the amount of data available throughout the supply chain. The problem is, there is so much data that no one really knows what to do with it. Harnessing the power of data is vital for ensuring your supply chain is meeting customer expectations. To get started making sense of all this data, supply chain managers should adhere to the following steps: 1. 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
People are starting to realize that keeping too much data is a liability, not just an asset.” “The bloom is off the rose when it comes to the ‘store everything’ standpoint. Paul Brody EY Americas Strategy Leader Technology Sector. read more. Global Supply Chain MORE
It’s not only about having Big Data and analyzing it; it’s about making sure you take the output of Big Data and analytics to make better decisions with it,” said Mr. van Egmond in a video interview I conducted with him at the event. 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. Business Intelligence Data Supply Chain Technology supply chain analytics MORE
The ever-advancing digitisation of business processes is raising the demand for high-quality data and making it increasingly important, because the success of supply chain collaboration is inextricably linked with the exchange of usable data. But what exactly is master data? 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. MORE
It is estimated that 80% of supply chain data involved with meeting customer demand originates outside of a company’s operating systems. Master Data Management. 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
Big data will be a defining force in the future of logistics, but the benefits of big data are already being felt. This graphic shows the true scope of impact of big data in the Transportation, SupplyChain & Logistics industries. . Data Supply Chain Transportation 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
Overcoming Stale Data. Thus our option was to use data to make decisions based on where our demand or supply needs were 3 weeks ago rather than today. We no longer need to limit representative data in the supply chain based on traditional system or technology constraints. MORE
A growing trend across all industries has been the application of big data , with the use of algorithms and the hiring of data scientists becoming commonplace. Data, Data, Everywhere… but Make Sure your Drinking from the Right Hose. Data Logistics Supply Chain MORE
Here at Freightos, we’re big fans of making global logistics work better by bringing data online (and especially instant freight quotes!). Getting Smart With Logistics Big Data. Data Visualization Example #1: Mobile Mastery. MORE
The term “big data” is likely to run out of steam as the Internet of Things (IoT) and artificial intelligence … Continued. The post Big Data and Cognitive Computing will Drive Digital Enterprise Transformation appeared first on Enterra Solutions. MORE
“More and more companies, both large and small,” writes David Wagner (@DavidWagner16), director of Market development at TeamQuest, “are beginning … Continued The post Big Data Analytics still Requires Critical Thinking appeared first on Enterra Solutions. 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
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
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
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
Guest Commentary Supply Chain Network Design Supply Chain Optimization Supply Chain Planning data quality network design supply chain designAs supply chain consultants, we often help clients navigate complex change–from adjusting to cost or competitive pressures to unique challenges like an M&A. These challenges all demand careful analysis of multiple financial and operational outcomes. MORE
The post Big Data Analytics are Revolutionizing Supply Chain Management appeared first on Enterra Solutions. Artificial Intelligence Best Practices Big Data Business Cognitive Computing digital enterprise Management Supply Chain Technology Risk Management MORE
As companies have moved to make more and more supply chain and purchasing activity digital, the data formats utilized to share that digital information have multiplied in kind. Data Format Proliferation. This has created one of the widest ranges of data formats in existence today. MORE
Data Related Topics 
The 21st Century Supply Chain
AUGUST 11, 2016
by Palvashah Durrani The Devil is in the Data Details: Entering a New Global Market. One of these challenges that you might not think of immediately is big data in your supply chain —specifically the quality of your data. Here are 7 data issues you might need to watch out for: 7.
The 21st Century Supply Chain
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?
Talking Logistics
JULY 6, 2016
It’s not only about having Big Data and analyzing it; it’s about making sure you take the output of Big Data and analytics to make better decisions with it,” said Mr. van Egmond in a video interview I conducted with him at the event.
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.
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With the advent of Big Data, companies now have access to more business-relevant information than ever before and are using Hadoop to store and analyze it
The 21st Century Supply Chain
JANUARY 22, 2016
by Bill DuBois A recent article on CFO points to a topic gaining strong momentum in the business press: the supply chain is the next big thing for big data to address. Yet only eight percent of shippers and five percent of 3PLs have implemented big data initiatives in their supply chain.
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.
Material Handling & Logistics
OCTOBER 5, 2016
People are starting to realize that keeping too much data is a liability, not just an asset.” “The bloom is off the rose when it comes to the ‘store everything’ standpoint. Paul Brody EY Americas Strategy Leader Technology Sector. read more. Global Supply Chain
The 21st Century Supply Chain
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.
Advertisement
What does it mean to become a digital business or digital supply chain
Supply Chain Opz
MARCH 1, 2016
Right now we are seeing a tremendous increase in the amount of data available throughout the supply chain. The problem is, there is so much data that no one really knows what to do with it. Harnessing the power of data is vital for ensuring your supply chain is meeting customer expectations. To get started making sense of all this data, supply chain managers should adhere to the following steps: 1.
Cerasis
APRIL 8, 2015
A growing trend across all industries has been the application of big data , with the use of algorithms and the hiring of data scientists becoming commonplace. Data, Data, Everywhere… but Make Sure your Drinking from the Right Hose. Data Logistics Supply Chain
Material Handling & Logistics
APRIL 11, 2017
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
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.
Advertisement
Leading companies are constantly managing competing supply chain priorities
Freightos
MARCH 23, 2016
Here at Freightos, we’re big fans of making global logistics work better by bringing data online (and especially instant freight quotes!). Getting Smart With Logistics Big Data. Data Visualization Example #1: Mobile Mastery.
Cerasis
NOVEMBER 14, 2016
Big data will be a defining force in the future of logistics, but the benefits of big data are already being felt. This graphic shows the true scope of impact of big data in the Transportation, SupplyChain & Logistics industries. . Data Supply Chain Transportation
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
Enterra Insights
APRIL 20, 2016
The term “big data” is likely to run out of steam as the Internet of Things (IoT) and artificial intelligence … Continued. The post Big Data and Cognitive Computing will Drive Digital Enterprise Transformation appeared first on Enterra Solutions.
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The sustainable supply chain is the future supply chain
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.
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.
Talking Logistics
FEBRUARY 11, 2016
The Regulation’s Impact on Ocean Shipping and Data Management. The Regulation and Data Management. However, in today’s information-driven supply chain, data often flows in parallel with the passage of freight.
Logility
JANUARY 26, 2017
It is estimated that 80% of supply chain data involved with meeting customer demand originates outside of a company’s operating systems. Master Data Management.
The 21st Century Supply Chain
NOVEMBER 19, 2014
Making decisions based on bad data (supply chain data accuracy). In addition to losing customers like me, those mistakes result in bad data that cost manufacturing companies millions of dollars. Bad data in supply chain seems like it should be a minor thing.
The 21st Century Supply Chain
APRIL 29, 2015
Perhaps it’s because I’m a Millennial, part of Generation Y, and came of age at the same time the internet did, but my very first thought was of course there’s such a thing as non-traditional supply chain – just look at the data! Anyone who works in traditional supply chain knows data is king.
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. Business Intelligence Data Supply Chain Technology supply chain analytics
Logistics Viewpoints
APRIL 7, 2016
Guest Commentary Supply Chain Network Design Supply Chain Optimization Supply Chain Planning data quality network design supply chain designAs supply chain consultants, we often help clients navigate complex change–from adjusting to cost or competitive pressures to unique challenges like an M&A. These challenges all demand careful analysis of multiple financial and operational outcomes.
Supply Chain Movement
AUGUST 31, 2016
The ever-advancing digitisation of business processes is raising the demand for high-quality data and making it increasingly important, because the success of supply chain collaboration is inextricably linked with the exchange of usable data. But what exactly is master data?
Enterra Insights
SEPTEMBER 15, 2015
The post Big Data Analytics are Revolutionizing Supply Chain Management appeared first on Enterra Solutions. Artificial Intelligence Best Practices Big Data Business Cognitive Computing digital enterprise Management Supply Chain Technology Risk Management
The Network Effect
SEPTEMBER 12, 2014
Today I want to go a step further and show how Big Data and application development are handled within these new environments. First, today’s advanced cloud platforms provide a flexible architecture that enables the aggregation, storage, querying, processing, and analyzing of Big Data.
Enterra Insights
FEBRUARY 9, 2015
“More and more companies, both large and small,” writes David Wagner (@DavidWagner16), director of Market development at TeamQuest, “are beginning … Continued The post Big Data Analytics still Requires Critical Thinking appeared first on Enterra Solutions.
Quintiq
APRIL 18, 2014
Taken together, these myths have given rise to the ‘leap before you look’ approach to big data that’s already ending in crashes. You may not need big data after all. What’s more likely is that most supply chains will need big data. You’ve probably heard them already.
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.
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
DECEMBER 2, 2014
While Hadoop has a future in supply chain management, because of the massive amounts of data generated, so do plenty of other big data technologies. My earlier blog (What is Hadoop and Why Should a Supply Chain Professional Care?)
The Network Effect
AUGUST 7, 2014
Overcoming Stale Data. Thus our option was to use data to make decisions based on where our demand or supply needs were 3 weeks ago rather than today. We no longer need to limit representative data in the supply chain based on traditional system or technology constraints.
Take Supply Chain
JUNE 24, 2015
As companies have moved to make more and more supply chain and purchasing activity digital, the data formats utilized to share that digital information have multiplied in kind. Data Format Proliferation. This has created one of the widest ranges of data formats in existence today.
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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