Data Quality: Your Digital Transformation Depends on It

Logistics Viewpoints

In a prior post , I wrote about the various ways data is transforming global supply chains. Today, I’m going to add a qualifier — it has to be quality data. It’s a critical point, because there are so many ways that data can, well, “go bad”. So, what is quality data?

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Killing Ghost Loads and Phantom Data with Michael Darden

The Logistics of Logistics

Killing Ghost Loads and Phantom Data with Michael Darden. Michael Darden and Joe Lynch discuss killing ghost loads and phantom data. Michael is the CEO of DFM Data Corp, a utility company designed to be a tool between digital partners moving freight in the USA and Canada.

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Estonia as an example of technology leader

Logistics at MPEPS at UPV

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. Other examples of successful policies of Estonia government is the develop of a system called x-Road which allows to share information between institutions. That technology allows security member to develop new encrypted data and make the system as invulnerable as possible.

Examples of How Supplier Quality Management System Implementations Pay Off


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. Not only has this increased the speed of supplier adoption, it also has improved the overall flow of data and communication.

The Smart Data Revolution: How AB InBev Drives Efficiency with Visibility Data

Speaker: AB InBev and FourKites

Register for our upcoming webinar to learn how leveraging the right data to make quick, well-informed decisions is the key to success in supply chain & logistics. Join FourKites and AB InBev to learn what’s possible with a data-driven supply chain strategy & real-time transportation visibility.

How manufacturers can monetize data


Data is a crucial component of digital transformation in the manufacturing sector. However, data in itself is not a value driver. Many manufacturers aren’t maximizing the value from enriching data and missing out on opportunities to grow, optimize or manage risk.

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Bigging up Data Analytics

Logistics Business Magazine

Big data presents supply chain and warehouse managers with an unprecedented opportunity to acquire real-time visibility of goods in transit and part of inventory, writes Tony Dobson -SnapFulfil CEO. Plus, making decisions based on solid data is essential with margins tighter than ever.

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5 Analytic Shipping Data Insights for Shippers From SONAR

FreightWaves SONAR

Supply chain intelligence and actionable insights must apply the most accessible, near real-time data available. Analytic data resources for brokers are great, but it’s equally important to realize that FreightWaves SONAR is much more than a broker-exclusive resource.

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Big Data in Logistics

Talking Logistics

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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How Data Can Improve Last-Mile Delivery


But dedicated managers have found a solution to help improve this part of delivery: data. Data is generated in all parts of last-mile delivery, and analysis of this information can help companies become proactive rather than reactive with their delivery methods.

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Supply Chain Planning Maturity – How Do You Compare to Peers?

Today's supply chains are networked, global ecosystems. An event upstream in a different country or region can cause considerable disruption downstream. The COVID-19 pandemic is an extreme example of how this unfolds in practice. How prepared are supply chain teams to react and recover, from a planning maturity stance? Download this report to get exclusive insights on planning maturity!

Use of Blockchain in Supply Chain & Logistics: Looking to Examples Across Industries for Better Understanding


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.

Data standardization and its benefits – Executive Insights with Thomas Bagge, CEO of DCSA

Shipping and Freight Resource

Data the “new” gold, is in high demand all over the world and especially now in the shipping and freight industry. But just data alone is not going to assist. Data and its usage must be standardised and there must be a standardised approach to digitalisation.

Using Data to Improve Supply Chain Operations

Material Handling and Logistics

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. The prospect of using data to operate more efficiently and/or innovate is behind the impetus toward digital transformation that leaders across virtually every industry sector now pursue. More data is coming in than ever before.

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NTT DATA Saved $125 Million With SAP Ariba

Logistics Viewpoints

Jeff Tramel, the Vice President of Global Procurement, at NTT DATA Services. SAP recently announced that NTT DATA Services, a global digital business and IT services company, had achieved $125 million in value based on a digital transformation of their procurement function.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

Want to build your internal capability, reduce costs and make better decisions? It's easier than you think. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts.

Is Your Data Ready For AI and the Emerging Technologies?


Data is the new precious metal and it is becoming more essential than ever before. Technological leaps like blockchain, artificial intelligence and machine learning run on data. Careful and Regular Data Collection is Critical Data management is not a “set it and forget it” activity.

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StayMetrics driver data points to pandemic’s impact on retention

The Supply Chain Journal

Reading the StayMetrics quarterly driver retention chart is almost like a game of hopscotch, jumping from comparison to comparison to discern trends in the data. In between is data for retention rates after 30, 45, 60, 90, 120, 180 and 270 days. The data is for truckload drivers.

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September Cass data underscores stalled shipments; expenditures surge

The Supply Chain Journal

September data from Cass Information Systems showed shipments fell victim to supply chain and capacity constraints while expenditures, a proxy for pricing, surged forward. Data used in the Cass indexes is derived from freight bills paid by Cass, a provider of payment management solutions.

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Before You Hire a Logistics Data Scientist

Talking Logistics

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. Linbloom shares his perspective in the short clip below, where he provides examples of how C.H. As more supply chain data is generated and collected, there’s growing demand for data scientists in the industry. “We’re

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Building AI to Unlearn Bias in Recruiting

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.

Data analytics for logistics drives reefer efficiency via a real-time forecast

FreightWaves SONAR

Data analytics for logistics can make all the difference in the world when it comes to reefer truckload service delivery efficiency. However, the data [that powers them] hasn’t previously been utilized to its full capacity until recently.” Take the example of RCRPMF.USA in the image.

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The Data Needed to Transform Supply Chains

Talking Logistics

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. The Hackett Group provides a useful visual for describing the maturity stages that supply chain is moving through as the industry strives to leverage data and advanced analytics. We all know how the industry handles the data issue.

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NTT DATA Saved $125 Million With SAP Ariba

Logistics Viewpoints

Jeff Tramel, the Vice President of Global Procurement, at NTT DATA Services. SAP recently announced that NTT DATA Services, a global digital business and IT services company, had achieved $125 million in value based on a digital transformation of their procurement function.

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How data kickstarts the supply chain flywheel

FreightWaves SONAR

Let me share an example. The importance of data. But a key insight for us in the ecommerce supply chain domain was the importance of data. Without data, it was impossible to kickstart the flywheel because we wouldn’t have the best intelligence to make strategic decisions.

[WHITE PAPER] Data in the fast lane – managing automotive logistics amid component shortages

FreightWaves SONAR

Those data sets and use cases include: Freight market data to assist in negotiations with carriers. Contract freight rate data that is specific to the auto industry can be accessed using SONAR Supply Chain Intelligence (SCI).

How data is boosting WFP’ response to COVID-19

World Food Programme Logistics

How data is boosting WFP’s response to COVID-19 Chief economist Arif Husain explains how cutting-edge tech is supporting assistance by agency and wider humanitarian community Deir Hafer, Syria?—?WFP data informs how we respond, prepare and adapt.

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Descartes and FreightWaves combat capacity crunch with real-time lane data

FreightWaves SONAR

Direct access to SONAR Lane Score within MacroPoint Capacity helps brokers maximize efficiency by bringing in useful data into one platform. For example, a broker may have a load that needs covering and can see five assets in the geographic area of the load.

The role of mobile data in building the supply value chain

FreightWaves SONAR

Mobile data can play a pivotal role in building the supply value chain. Mobile devices have functions that provide valuable data for the supply value chain. Mobile devices can then provide the critical touchpoint for collecting and using near-real-time data and freight analytics.

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Big Data, Dynamic Freight Pricing and Bid Savings (maybe)


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.

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Why accurate predictive freight rates are only possible with holistic and real-time data

FreightWaves SONAR

Big data and predictive freight rates in the digital supply chain are nothing new. Nearly all shippers, brokers and carriers collect and use data to derive insights, including predictive rates. Old data can point to changing market conditions that do not reflect observed conditions.

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FedEx CIO Attests to Data-Driven Strategies in Pandemic Times

IoT World Today

Indeed, some organizations spent several years laying the foundations for data-driven strategy and remote operations even prior to COVID-19. Data-Driven Strategies Become Core Value Proposition. Blockchain Still Core to FedEx’s Data-Driven Strategies.

Logistics automation and the vitality of data integrity in supply chain advancement

FreightWaves SONAR

Through data-driven transportation management , carriers can finally become more strategic and tactical, thriving through good and bad times. Achieving that goal hangs on a carrier’s ability to capture meaningful data. Consider the following example.

ARIBIC digitalisation project saves AGV sensor data

Logistics Business Magazine

As automated guided vehicles ( AGVs ) navigate through warehouses or production halls, they become real data collectors. Data that is, however, immediately deleted again. For example, it becomes clear in which areas of the warehouse traffic is high or low.

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Logistics Decision-Making Backed by Data Science: 4 Keys to Success

The Supply Chain Journal

By: Matt Harding, Senior Vice President, Data Science, Transplace. During a time of significant supply chain disruptions, logistics leaders rely on data to make informed business decisions. Here are four steps to harness the power of data to propel logistics success.

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Revolutionizing the RFP Process with Data

Logistics Problem Solving

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

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