Trends and Predictions 2020: Big Data

Enterra Insights

For many companies, dealing with the implementation of the California Consumer Privacy Act (CCPA), formally known as AB 375, will be the biggest big data story of the year.[1] 1] The CCPA is a big deal because many companies have dealings in California and more and more companies leverage big data to target consumers. ” That means companies now must worry whether or not data managed by others can bite them. Big data trends. Data Lakes.

Big data and supply chain optimization: Illusion vs. reality

DELMIA Quintiq

Suddenly, discussions seem to treat big data as a driver for incredible innovation. Assuming that big data was superior to “just any data” came from evidence in the B2C market, but this did not stop bold predictions about how it could also transform supply chain operation. And so, the floodgates were thrown wide open and every supply chain software company started pitching itself as a “big data” supply chain software company.


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What’s Happening with Big Data?

Enterra Insights

Big data may seem like an old topic; however, the ways in which companies deal with big data continues to evolve. ”[1] Collecting data has been around since humans started keeping records. The Latest Big Data Trends. Data-As-A-Service (DaaS).

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


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. True, they may know how to roll out big data in a single warehouse, or they may have heard their competitors used branded systems for implementing this new technology. Ask Traditional Questions, and Let Big Data Provide Answers. Data Leadership Supply Chain

Big data’s two big myths

DELMIA Quintiq

Taken together, these myths have given rise to the ‘leap before you look’ approach to big data that’s already ending in crashes. Or as a December 2013 Harvard Business Review (HBR) article puts it: Companies are investing like crazy in data scientists, data warehouses, and data analytics software. You may not need big data after all. What’s more likely is that most supply chains will need big data.

Big Data Analytics: From Disappointment to Delight

Enterra Insights

Over the past few years, businesses have expressed both delight and disappointment with their big data analytics efforts. The lesson to be learned is that doing big data analytics correctly isn’t as easy as some people would make you believe. Big Data

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


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. . �. As a result, the simplest way of defining a big data strategy must begin with understanding how it will evolve and affect the company. . How to Get Started with Your Big Data Strategy. . This is where the explanation of big data begins. .

Big Data: Thick and Thin

Enterra Insights

In the Digital Age, nothing in the business world is more important than data. Alex Toma ( @alexbreakline ), a digital marketing specialist, writes, “Data has always been fundamental to the success of digital.”[1] 1] Most business leaders understand that so-called “big data” is an asset for their company’s operations. The World Economic Forum has declared big data an asset class like gold or oil. Data is important for every size of business.

Big Data Implications


Big data and big data analytics pose a series of implications and challenges. The post Big Data Implications appeared first on Tecsys. Analytics Business Intelligence Posts Supply Chain Warehouse Management analytical competitors big data big data analytics culture ethics hadoop implications map reduce mentoring partnership privacy skillsets

Big Data Analytics


Big data is all around us. As we have seen, big data is characterized by its volume, velocity, and variety (the infamous three 'V's). Well, these untapped 'dark data assets' give rise to vast opportunities for those organizations that seek new ways to compete. Some have gone so far as to call big data the ‘new oil’. In part two of this four part series, we will take a closer look at big data analytics.

Big Data Demystified


With the advent of big data, organizations are beginning to recognize the impact that big data and analytics can have on their ability to compete in their respective industries. This recognition has revealed that it is not only about the volume, velocity and variety of the data at hand, but having the right culture, skillsets, and technologies in place, while respecting the privacy of consumers. The post Big Data Demystified appeared first on Tecsys.

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


Seth Patin introduces VIEW devices: visual input enabled wearable devices, a new class of input hardware that could revolutionize warehouse operations in the supply chain. . Imagine your Warehouse Management System (WMS) could SEE. 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. What could Visual Enabled Input Wearables do in Warehouses?

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. First, let’s talk about what “big” really means. How much data will it generate? Data can be entered incorrectly.

Big Data – Synthesis


In 2013, Gartner conducted a survey on Big Data Adoption in Supply Chain Industries and found that adoption has been flat and is lagging behind the overall adoption rate of other industries such as banking, insurance, and retail to name a few. Gartner ascertained that these characteristics pertaining to the Supply Chain industry are attributable to an inherent lack of understanding of what Big Data truly is and a fundamental lack of the required skill sets.

Harnessing Big Data to Drive Supply Chain Improvements

BluJay Solutions

Big Data is big news, and there are few sectors that generate such huge volumes of transactional data as the global supply chain. But can - and should - logistics services providers (LSPs) and freight forwarders get in on the big data trend? Is there a value in harnessing the vast amount of shipment data behind the multi-modal transportation of goods worldwide, and if so, what is it? What is your organization to harness big data?

Unlocking the 3 V’s of Big Data in the Digital Supply Chain


Data collection and integration tools underpin big data innovation. Big data has been growing more important in the supply chain sector as businesses look to eke out every bit of value they can through greater operational insights.

WMS Generates Big Data but Struggles to Provide Real-time Analytics

Logistics Viewpoints

Warehouse management systems are Big Data applications. The post WMS Generates Big Data but Struggles to Provide Real-time Analytics appeared first on Logistics Viewpoints. Warehouse Management Systems

Collecting and Analyzing the Right Big Data

Enterra Insights

A lot of businesses seem to have adopted that principle when it comes to big data. Once they started collecting data, some companies collected as much of it as possible hoping it would be useful in the future. As data breaches have become a serious threat, having too much data can be a liability. Big Data is not going away. Data can be used to great benefit if governed wisely, and to great harm if deployed without regard to its consequences.”[1]

What is Big Data’s Role in Sustainability and Supply Chain Innovation?


Going green hinges on data visibility within the supply chain. However, the same technologies can also create management complexity and technological overhead that can limit innovation when data is not handled effectively. Big Data Rising Across Wide Range of Sectors.

Big Data Analytics Continue to Improve

Enterra Insights

Big data is not a new topic, but it remains a fresh topic of discussion because the amount of data being generated each day continues to grow. Without advanced analytics, finding actionable insights and gaining new knowledge from that data would be difficult and slow — too slow for today’s speed of business. Over the years, however, big data analytics has earned a reputation of under-delivering on promises. Blindly trusting data visualizations.

Tips for Maximizing Warehouse Space


The 2018 State of Logistics Report , sponsored by 3PL Central , indicates warehousing models are evolving at a phenomenal rate. More importantly, demand for warehouse space is at an all-time high, and warehousing is still short two million workers. percent of warehouses vacant, warehouse managers are still stuck with the challenge of maximizing warehouse space. Since customers’ needs evolve on a continuing basis, warehouses must evolve in tandem.

The Corporate Love Affair with Big Data

Enterra Insights

Some companies have fallen deeply in love with big data. Analysts from Deloitte report, “Companies modernizing their approaches to data management are beginning to develop deliberate techniques for managing, monetizing, and unlocking the competitive value of this increasingly vital enterprise asset.”[1] ”[1] To fully unlock the value in data, Deloitte analysts insist you must set it free. Setting Data Free. What does it mean to set data free?

Warehouse Digitalization: The Warehouse of Tomorrow


The Digi-Smart manufacturing process empowers enterprises to gain control of their warehouses and ensures that products can be delivered to customers as quickly as possible. This wave of change has made warehouses smarter and more agile.

Artificial Intelligence and the Future of Supply Chains, Part 2

Enterra Insights

Germain observes, “AI has changed the supply chain process from reactive to proactive, which creates a larger change in how data-driven processes will operate in the future. With advances in computers, data storage and machine learning, operations entropy is finally being defeated.”

Megatrends Reshaping Supply Chain Management

Logistics Viewpoints

Grocery retailers are exploring dark stores , stores that have been converted to warehouses that are close to customers and support quicker and lower cost deliveries. Sensors connected to the Internet provide data that supply chain applications can use.

Progress Report on the Digital Supply Chain

Enterra Insights

The impact was across manufacturing plants, transport networks, warehouses, and retail outlets. Supplier and distribution networks operate openly, exchanging data and information. For years supply chain consultants have urged companies to digitize their supply chains.

Why Big Data Kills Businesses


Big data has been anointed the savior of big business: it divines the future, reveals our path, and breathes new life into our venerable business models. But in reality, data kills. Twenty-five years ago, data was growing at a rate of 100GB a day. Now, data grows at a rate of almost 50,000GB a second. And as the volume of data grows, the ability of companies to make sense of it diminishes, confounding rather than illuminating strategic decisions.

The Major Trends in Warehouse Inventory Management for 2017


That’s why you need to adopt and refine trends in warehouse inventory management. Warehouse management is becoming more complex. The post The Major Trends in Warehouse Inventory Management for 2017 appeared first on Appterra. Blog API Big Data EDI Internet of Things Omnichannel Real Time Data Supply ChainIn this changing industry, you need to address the slowing and outdated processes in order to survive and compete against your competitors.

The Growing Importance of Last Mile Logistics

Enterra Insights

Hosegood points out that sustainability is also becoming a big issue associated with last-mile delivery. Scans won’t be done, data won’t be captured, and that impacts all areas of the supply chain.

Will Warehouses Eventually Go Dark?

Enterra Insights

Thanks to the popularity of e-commerce, warehouses are some of the hottest properties in real estate. Phillips ( @EricaEPhillips ) reports some retailers were so desperate to find warehouse space this past holiday season they created pop-up warehouses in vacant suburban lots and parking garages.[1] ”[2] He adds, “Freestanding big-box stores closer to population centers than they are to warehouse districts are the primary candidates for such conversions.

IBM and the Big Data Behind Blockchain and your Supply Chain

Freight Plus

A tool that enables a great deal of customizable visibility and data transfer. As more and more companies embrace big data, the need for tools to capture and align that data has risen to the fore. Big data is the capture and computation of extremely large data sets that are analyzed to reveal patterns, trends, and associations, especially relating to human behavior and interactions. If you could use blockchain to train that data in a system like.

Warehouse Management Analytics: What You Need to Know

Veridian Solutions

The right application of warehouse management analytics can enable significant growth for companies, forced to focus on smaller package sizes, not the pallets and cases of the past. Supply chain leaders need to understand the flaws of traditional warehouse management styles, the benefits of warehouse management analytics, and follow a few best practices to use them to their fullest potential. Benefits of Warehouse Management Analytics.

Tips for Maximizing Warehouse Space

Veridian Solutions

The 2018 State of Logistics Report , sponsored by 3PL Central , indicates warehousing models are evolving at a phenomenal rate. More importantly, demand for warehouse space is at an all-time high, and warehousing is still short two million workers. percent of warehouses vacant, warehouse managers are still stuck with the challenge of maximizing warehouse space. Since customers’ needs evolve on a continuing basis, warehouses must evolve in tandem.

Improving Warehouse Productivity Part 1: Achieving Scalability to 1 M+ Order Throughput With Data & Technology

Veridian Solutions

The e-commerce revolution, omnichannel, personalized services and products, SKU proliferation, the Amazon Effect, and many other factors influence throughput in your warehouse. This two-part series will explore the use of data and automated systems to achieve 1 million+ orders filled per day, as well as how strategic management styles drive scalability. Track the Right Data. Leverage Big Data Analytics to Understand Activities. Integrate Systems to Share Data.

26 warehouse pros reveal the most important factors to consider when moving to an automated warehouse

6 River Systems

The world of logistics is increasingly driven by technology , with artificial intelligence, big data, the Internet of Things (IoT) and automation among the biggest logistics trends today. As warehouses embrace technology to optimize the supply chain and reduce fulfillment costs , many companies are considering making the move to an automated warehouse. That said, there are many factors to consider when moving to an automated warehouse. Warehouse Automation