Syndicated Data for CPGs


Learn about: What syndicated data is How it is compiled and used The difference between brick-and-mortar data and e-commerce data. Syndicated data can provide companies with this insight. Panel Data: This refers to consumer-level data.

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Supply Chain Data Management: Making Data Make Sense for Supply Chain Planning


Managing the data required for supply chain planning is a bit like raking leaves. The data keeps coming all year round. And just when you think you have clean and consistent data to work with, new internal and external data “blows into the yard.”.

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How Can Data Improve Supplier Decisions?


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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7 Benefits Realized Utilizing Big Data to Optimize Supply Chains


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.

Building AI to Unlearn Bias in Recruiting

anecdotal data points (e.g., referred to as unconscious bias. 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. Building AI to Unlearn Bias in.

Conquering the Explosion of Supply Chain Planning Data


Companies across all industries and sizes struggle to make sense of and value from the available mountains of data. Structured and unstructured data including that from social media, Internet of Things (IoT) and Blockchain sources continue to stream in but much is left untouched.

6 Benefits of Applying Useable Data in Logistics For Continuous Improvement


Today we will go into detail on using the available data created in the processing of shipments within transportation management and other related logistics management for continuous improvement. . 6 Benefits of Using the Right Data in Logistics & Transportation Management for Continuous Improvement. Shipping processes revolve around a million-trucks-worth of data. Take a look at how your data can be used for continuous improvement across your organization.

What is Product (or Master) Data Management?

Supply Chain Game Changer

I had just inherited a new department into my organization, the Product Data Management (PDM) team. We were missing customer deliveries due to problems in getting the correct, and complete data, into the systems which enabled us to manage bills of material and manufacture products. What then exactly is Product, or Master, Data Management? Depending on the organization I have heard this function called either Product Data Management (PDM) or Master Data Management (MDM).

Data and Digitization in Manufacturing

Enterra Insights

Because manufacturers have historically moved factories to regions featuring cheap labor and few regulatory restrictions (sometimes referred to as outsourcing or offshoring), a misconception has arisen about the importance manufacturing to national economies. ”[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. Data and digitization in manufacturing.

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What are the Five Key Business Processes for Supplier Master Data Management?

HICX Solutions

In order to deploy a successful centralized operational supplier master data management solution (that’s a mouthful) – which means covering 100% of all data and not just the 20 most important attributes – there are just five business processes you need to pay attention to.

Electronic Data Interchange or EDI in Transportation: Breaking Down What it is and How It Works


Today begins our series about electronic data interchange or EDI in transportation. What is Electronic Data Interchange? First we must understand and get on the same page of what is Electronic Data Interchange, or EDI, as it is not only used in the transportation industry.

Five Steps You Can Take to Achieve ‘Data Nirvana’

HICX Solutions

There are many benefits to be had from redefining the way you manage your supplier data. Below are five steps you can take to greatly improve your supplier master data management processes and reach the hallowed state of data nirvana. The first step on your path towards data heaven is building out and defining your standards to support process design, ownership and management. Data consolidation. The next step is to cleanse your data. Data governance.

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Using Data to Improve Supply Chain Operations

Material Handling & 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. Generating Value from Data.

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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.

More Data is Not Better and Machine Learning is a Grind…. Just Ask Amazon


After an overview by the corporate recruiter on Amazon’s values (including the infamous Flywheel Effect), Ed spoke about how data analytics was important in impacting several parts of the flywheel, including getting the right products in front of customers, getting the right quantity, and ensuring that customers are satisfied. At Amazon, his team employs econometrics, software development and machine learning to data driven decisions. Data Interpreters needed!

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Data to Decisions. Faster.


Key Point : Arm your supply chain planners with the right software tools so they can do their jobs better; make decisions about your supply chain instead of spending time collecting data and building Excel models. Automating the collection of data. Analyzing the data.

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How Big Data Analytics is Revolutionizing Sourcing Processes for Walter Charles III


“Big Data” is everywhere. The value of quality data has never been higher, and the power to process that data is more readily available than ever. That key, according to Charles, lies in having large and accurate data sets and an efficient way to analyze them.

Big data and supply chain logistics optimization: Illusion vs. reality

DELMIA Quintiq

Not one supply chain conference or event goes by without some random discussions on big data. Presenter after presenter make grandiose statements about how big data will change the way supply chains operate and how everything will be incredibly different.

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?

Augmented Reality, Big Data, and VIEW Devices in Supply Chain


It’s kind of an Orwellian concept, but with advances in augmented reality (AR) and big data analytics , the WMS of the future will effectively have sight and an infinite memory. Integrating Big Data Analysis and Augmented Reality Devices.

Why data intelligence is crucial to the business success of today’s fashion companies


Data has never really been a part of that equation. Machine Learning (or ML) is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.

The Internet of Things and Big Data

Enterra Insights

I call it a concept because the IoT is actually an ecosystem involving sensors, data, connectivity, and analysis. ”[2] All of those sensors provide data that must analyzed to be useful. This would have tremendous implications in the way data is collected, analyzed, and reported.

What is Big Data?

Supply Chain Game Changer

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?

Pharmaceutical labeling: Data, data everywhere


Many of the sessions focused on the execution of the Company Core Data Sheet (CCDS), which serves as the primary reference document used to create a drug’s package, label, patient literature, etc.

Big Data Analytics are Table Stakes for Digital Age Businesses

Enterra Insights

It refers to a rule requiring a player to bet no more money than he or she had on the table at the beginning of that hand. What do you want from your data? Data is often described as an asset as valuable as oil or gold. Yossi Sheffi ( @YossiSheffi ), the Elisha Gray II Professor of Engineering Systems at MIT, asserts data is a company’s most valuable asset. Today, it’s not people but data that tops the asset value list for companies.”[2]

How to Improve Manufacturing Floor Data Collection


Here’s how you can improve manufacturing floor data collection, long-term. A key component of any manufacturing process is data collection. However, are you starting to outgrow your manufacturing floor data collection system ? Improving Manufacturing Floor Data Collection.

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Understanding Big Data Beyond Its Size

Enterra Insights

When people hear or read the term “big data,” they initially think two things: It’s data and it’s big. The volume of data being created is unprecedented and will only increase. Big data is so enormous that the term “big” seems anachronistic.

Inventory and forecast data from retailers: After your product ships (Part 2)


Part 1 of this series highlighted four of the most important retailer data points that suppliers need to maintain an efficient supply chain and maximize sales opportunities: Unit Sales (Net), Dollar Sales (Net), Price, and Retailer COGS. analytics data retail supply-chain consumer-goods

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How Big Data Analytics is Revolutionizing Sourcing Processes for Walt Charles


“Big Data” is everywhere. The value of quality data has never been higher, and the power to process that data is more readily available than ever. That key, according to Charles, lies in having large and accurate data sets and an efficient way to analyze them.

Think Tank 2020: Answering the Tough Questions with Transparency and the Right Data at the Right Time


Think Tank 2020: Answering the Tough Questions with Transparency and the Right Data at the Right Time. In 2017, a group of talented Transplace data scientists started on a mission to re-invent reporting for customers. How are you making data actionable within your organization?

Marketing and Big Data

Enterra Insights

Marketers understand the value of data, but many of them still struggle with challenges associated with big data. ”[1] Mastering big data challenges in order to increase advertising effectiveness is becoming an imperative. ”[2] Mastering big data challenges and understanding consumers better requires the help of cognitive technologies. ” Good analytic results begin with good data. This is often referred to as behavioral marketing.

The 5 Key Reasons Why Data Quality Is So Important


Editor's Note: Today's blog comes from Katie Cruze at who give us the top 5 reasons why data quality is important. Data, for most companies, is often collected for record-keeping purposes. The 5 Key Reasons Why Data Quality Is So Important.

Dreaming of Clouds, Lakes and Streams

Supply Chain Shaman

Yesterday, I spoke at the Eye for Transport conference on the Big Data opportunity in supply chain. I hate the term Big Data. So, in summary, today, we don’t have a big data problem. Instead, and more exciting, I believe that we have a big data OPPORTUNITY!

Good Data, Bad Data, Big Data

Enterra Insights

We live in the Information Age and the era of big data. Each of us creates data whenever we make a telephone call, use the Internet, make a purchase with a credit or debit card, and/or use a merchant’s loyalty program. Some people believe all this data gathering is an invasion of privacy; but, data can be used to help companies provide us with better service and more personalized products. However, not all data is as beneficial as it seems at first.

SMEs and Big Data: How to Capture It and Why You Should


Big data refers to the process of examining and analysing large and diverse data sets for the purpose of uncovering valuable information to help businesses make informed decisions. The relationship between SMEs and big data is not contradictory, because no business is too small for big data. In fact, SMEs can gain significant benefits from big data. SMEs and big data. SMEs and big data: Capturing data. Using data.

Impacts of Big Data in Logistics


The web pages you visit and online messages you send every day continually generate data about you. When you go to a supermarket to buy groceries and pay with your credit card, data is also being obtained about your shopping tendencies and financial activities.

Only Enough Data to Cause Paralysis: A Timeless Message About Big Data

Demand Solutions

Yet, not only does Guy Kawasaki’s 1988 book "The MacIntosh Way" possess a timeless charm, it also contains at least one nugget that cuts to the core of one of our current burning issues: what to make of Big Data.