7 Avoidable Data Errors in Your Supply Chain Data

The 21st Century Supply Chain

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.

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Information Overload: Is Too Much Data Crippling Your Supply Chain?

The 21st Century Supply Chain

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?

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Trending Sources

Going from Big Data to Big Decisions

Talking Logistics

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.

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Five Steps to Navigating Supply Chain Analytics Data Challenges

Talking Logistics

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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Hadoop and the Modern Data Supply Chain

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

Big Data and the Supply Chain: One Important Means of Moving Forward

The 21st Century Supply Chain

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.

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How to interpret demand-sensing data

The Network Effect

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.

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Supply Chain Data ‘Overwhelms’ Businesses

Material Handling & Logistics

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

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Improving Supply Chain Collaboration: Connecting Data

The 21st Century Supply Chain

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.

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Leveraging Supply Chain Data for Competitive Advantage

What does it mean to become a digital business or digital supply chain

Making Sense of New Data in the Supply Chain

Supply Chain Opz

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.

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How Can Data Improve Supplier Decisions?

Cerasis

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

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Data-Driven Culture Creates Advantages for Global Supply Chain

Material Handling & Logistics

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Supply Chain Big Data: Why Supply Chain Leaders Are Using Big Data Analytics

Cerasis

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.

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How Freight & Transportation Data Can Trim Your Transportation Spend

Cerasis

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.

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Balancing Priorities in the Supply Chain: How Data Discovery Reveals Unseen Associations and Opportunities

Leading companies are constantly managing competing supply chain priorities

Getting Smart With Logistics Big Data

Freightos

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.

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What Is the Impact of Big Data in the Transportation & Supply Chain Industries?

Cerasis

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

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How Can Supply Chain Leaders Use Big Data as a Tool to Continuously Improve?

Cerasis

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

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Big Data and Cognitive Computing will Drive Digital Enterprise Transformation

Enterra Insights

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: Realizing Costs Savings and Increased Efficiencies Through Data Discovery

The sustainable supply chain is the future supply chain

[INFOGRAPHIC] Using Historical Truck Carrier Rates Data and What Data to Use to Evaluate a Carrier

Cerasis

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.

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How to Use Big Data to Improve Supply Chain Visibility

Talking Logistics

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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The Impact of SOLAS on Ocean Shipping and Data Management

Talking Logistics

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.

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Supply Chain Metrics - Gaining Visibility in a Data-rich World

Logility

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.

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Your supply chain is costing you money – Reason #7 Making decisions based on bad data (supply chain data accuracy)

The 21st Century Supply Chain

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.

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Non-Traditional Supply Chain Pt 1: Data as a Commodity

The 21st Century Supply Chain

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.

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Supply Chain Analytics: A Continued & Renewed Focus on Using Data for Improvement

Cerasis

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

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High-Quality Data: The Best Fuel for Supply Chain Change

Logistics Viewpoints

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.

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Master data management should be higher on the agenda

Supply Chain Movement

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?

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Big Data Analytics are Revolutionizing Supply Chain Management

Enterra Insights

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

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Integrating Big Data and Application Development into today’s Social Supply Chain

The Network Effect

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.

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Big Data Analytics still Requires Critical Thinking

Enterra Insights

“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.

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Big data’s two big myths

Quintiq

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.

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What’s Big Data in Supply Chain & Logistics? Why Should I Be Looking at This Tech Trend?

Cerasis

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.

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Big Data Analytics: A Key to a Successful Supply Chain in the Next 5 Years?

Cerasis

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.

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Dealing with Supply Chain Big Data

Logistics Viewpoints

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?)

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Why overcoming stale data is key to achieving a great supply chain

The Network Effect

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.

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You Shouldn’t “Cross” Supply Chain Data Streams, but you Should Standardize Them

Take Supply Chain

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.

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Data-Driven Decisions Rule the Modern Supply Chain

PLS Logistics

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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