10 must ask supply chain data security questions

The 21st Century Supply Chain

Approximately 80% of data breaches originate from within the supply chain, and the financial impact of a breach could do more than destroy your bottom line. Good data security in your supply starts with proactivity. How is data backed up? ✓

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.

Supply chain data: Bad data delivered faster is still bad data, and leads to bad decisions

The 21st Century Supply Chain

by CJ Wehlage When approaching the concept of knowing sooner and acting faster, and the value of concurrent planning, the most common feedback I get from supply chain executives is: “But my data is bad… I mean, really bad.”. Clearly, proving ‘data fix’ projects aren’t the answer.

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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. and “What are we using the data for?”

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Your Supply Chain Probably Has a Data Problem - Start There

A Blueprint For Supply Chain Transformation The Data First Approach Introduction Over the past few decades, supply chains have evolved from a sub-function. supply chain is data. Supply Chain is the epitome of Big Data, yet, the most challenging problem. Data Access.

Data integrity: Bad data and 3 good things to do about it when supply chain planning

The 21st Century Supply Chain

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?

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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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Mining Supply Chain Data for Insights

Supply Chain Shaman

Over the course of the last quarter, with the help from Cloudera, we built a data lake of with data from 1449 public companies. We loaded 493 financial metrics from balance sheets and income statements for each company into the data lake for the period of 2004-2016 using YCharts data.

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[Infographic] Big Data Analytics in Supply Chain

Cerasis

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 ?

End to End Supply Chain Visibility - Solving The Data Problem

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?,

The Takeaway from CSCMP Conference: The Data Problem Runs Deep

Talking Logistics

The industry is moving in an unprecedented direction that is increasingly digitized and more data-centric than ever, and logistics leaders are looking to increase efficiency with artificial intelligence (AI). The Data Problem. What should a data cleansing initiative look like?

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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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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.

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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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

Artificial Intelligence in Supply Chain: Solve the Data Problem First

Talking Logistics

What’s most important is the [approach and methods you use] to adapt and solve the underlying data issues that will enable you set up your supply chain for the long term — true transformation rather than slapping a bandaid on it.”. The other surprising thing,” he added, “is that people are looking for off-the-shelf technology that looks sexy without taking a fundamentally different approach — that is, without solving the data problem first.”.

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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.

[e-Book] Big Data In The Supply Chain & Transportation Industry

Cerasis

We invite you to download the all new Cerasis e-book "Big Data In The Supply Chain & Transportation Industry." In this e-book, you'll learn the following: What is Big Data? How do supply chain & transportation leaders get started in collecting & using Big Data? What is the impact of Big Data on the Supply Chain & Transportation Industries? How can leaders use big data as a tool to continuously improve?

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

Removing the 3 Barriers to Building a Predictive Supply Chain

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.

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

Become Data Driven: Embrace the Iconoclast in Your Organization

Supply Chain Shaman

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.

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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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How Do Supply Chain & Transportation Leaders Get Started Using Their Big Data Strategy?

Cerasis

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. .

Leveraging Supply Chain Data for Competitive Advantage

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

Supply Chain Analytics: Is your data providing information & actions?

Enchange Supply Chain Consultancy

Who coined the term “Big Data”? How did we get there without tiny data, ordinary data, slightly larger data, chubby data and bordering on big data?

3 Ways to Put Big Data to Work in Your Factory

synchrono

Is enthusiasm for Big Data wavering? They also predicted that 80 to 100% of manufacturers will have implemented IIoT applications by then and already be reaping the benefits of data-driven insights into their operations.

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.

If Mozzarella Increases the Graduation Rate, Big Data is Wrong

Inventory and Supply Chain Optimization

Big data and its various applications open many new possibilities in manufacturing and supply chain management; no question about it. However, Big Data does not automatically lead to success. On… Supply Chain Management big data intelligent algorithms supply chain management

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

Leading companies are constantly managing competing supply chain priorities

7 Benefits Realized Utilizing Big Data to Optimize Supply Chains

Cerasis

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.

[WEBINAR] Why Supply Chain Leaders are Using Big Data Analytics

Cerasis

We invite you to register and attend our educational webinar titled, “Why Supply Chain Leaders are Using Big Data Analytics” presented on Feb. Thanks to data gathering programs, supply chain software, and data entry applications, this represents a mountain of data, which has the potential to provide groundbreaking insight into how to improve business model efficiency. How Do Supply Chain & Transportation Leaders Get Started in Collecting & Using Big Data?

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.

Why you don’t need perfect data to start implementing S&OP

AIMMS

Often, teams think they also need plenty of clean and accurate data to do it right. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel.

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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

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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