Dakota Integrated Solutions launches brand new corporate website

Manufacturing & Logistics IT

Dakota Integrated Solutions Ltd, a real-time data capture, printing, mobility and solution specialist, has launched its new corporate website

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Building a Better Data-Driven Reverse Supply Chain

GlobalTranz

The post Building a Better Data-Driven Reverse Supply Chain appeared first on Transportation Management Company | Cerasis. Data Reverse Logistics Supply Chain Data-Driven Reverse Supply ChainHow often do you really think about the reverse supply chain?

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Data Tips for Supply Chain Network Design Part I: Preparation

AIMMS

The post Data Tips for Supply Chain Network Design Part I: Preparation appeared first on AIMMS

Data Science Tools of the Trade: Rolling Rounding to Handle Those Pesky Decimals

Arkieva

Data Science Tools of the Trade: Rolling Rounding to Handle Those Pesky Decimals was first posted on August 10, 2021 at 1:55 pm. ©2017 In many areas of supply chain management, analytic methods generate estimates with “pesky decimals”.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. Given data’s direct impact on marketing campaigns, reporting, and sales follow-up, maintaining an accurate and consistent database is a top priority for B2B organizations. This latest eBook aims to help marketing leaders understand the impact of data management on their company’s ROI.

Mourning the Death of the Data-Driven Supply Chain Guy

Supply Chain Shaman

Joe and I had an intense discussion on big data analytics and what he was learning by tracking his illness with his oncology team. Joe facilitated many of the discussions and attributed his treatment plan’s success to diverse thinking, collaborative technology, and big data discovery.

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How Forecastable is Your Data?

Arkieva

How Forecastable is Your Data? Having access to an accurate forecast is very beneficial for businesses. If used correctly, it can provide better margins, increase market shares, and many other positive results.

Mining Mountains of Data for Insights

Enterra Insights

In the area of big data, geological features are often used to depict the enormity of the data involved. ” Alexandrov and Vesselinov write, “A seemingly bottomless ocean of ‘big data’ has flooded our world. But what can you do with all of that data?

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What Supply Chain Data Should I Track in 2020?

GlobalTranz

Supply chain data management requires attention to detail and a mechanism in place that provides analytics, or insights, to gain actionable knowledge. Risk exists around data when it is incorrectly or inaccurately collected and shared. Data Supply Chain Supply Chain Data

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10 must ask supply chain data security questions

Kinaxis

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. In 2013, Target, one of the largest retailers in the US, fell victim to a massive data breach when a cyber intruder stole credit and debit card information on more than 40 million customers and personal details like addresses, phone numbers and email addresses of 70 million customers. How is data backed up? ✓

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

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?

Common challenges in Data Science

Prophetic Technology

Data Science applies advanced Analytics techniques and scientific standards to pull out information from strategy decision-making, bringing helpful insights. It plays a significant role in practically all company procedures and strategies, typically analysing massive data.

Big Data, Analytics, and Industry 4.0

Enterra Insights

1] The fourth revolution is being driven by data. He observes, “For many manufacturing and supply chain organizations, the Covid-19 pandemic highlighted multiple shortcomings in their data management strategies. ” Data and Advanced Analytics in Industry 4.0 Industry 4.0

Two Penny Model and COVID-19 Breakthrough Cases – Avoiding Data Driven Disaster

Arkieva

Two Penny Model and COVID-19 Breakthrough Cases – Avoiding Data Driven Disaster was first posted on August 2, 2021 at 11:19 am. ©2017 Learn how a simple binomial model can help anticipate the future including COVID-19 breakthrough cases just as models help a firm estimate it's future.

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The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

Multimodal Big Data Applications You Don’t Want to Miss

GlobalTranz

In the current age of automation in the supply chain, digital platforms, mobile apps, and inter-connectedness, it is more important than ever for shipping and logistic companies to keep up with the best multimodal big data applications available. Uncategorized multimodal big data application

The Amazing Supply Chain of Data

All Things Supply Chain

In supply chain management, data and its targeted analytics are necessary to make statements about important influences on the supply chain: Which deliveries are often uncertain?

Data 98

Using Freight Data to Increase Negotiating Power

GlobalTranz

The application of freight data holds immense potential. Logistics data is valuable to shippers, freight forwarders, logistics brokers, supply chain partners, third-party logistics providers, customers, and everyone else in the supply chain. Data Freight

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Supply Chain Management Data: Here’s How Big Data Makes the Supply Chain More Efficient

GlobalTranz

It’s clear — and has been for a while — that big data and advanced analytics technologies are transforming a lot of day-to-day operations. The post Supply Chain Management Data: Here’s How Big Data Makes the Supply Chain More Efficient appeared first on Transportation Management Company | Cerasis. Data Supply Chain Supply Chain Management Data

Data-Driven Marketing 101

This eBook highlights how data-driven strategies empower marketing campaigns through personalization tactics.

Big Data Analytics to Improve Supply Chain Resilience

GlobalTranz

And, investment statistics reveal an increasing trend for more technology to enable multi-modal shipping and the application of big data analytics to increase scalability, flexibility, and demand-driven management decisions. Data Supply Chain supply chain resilience

Solving The Procurement Data Dilemma

HICX Solutions

Whitepapers Solving the Procurement Data DilemmaFor this research report, Raconteur, partnering with HICX, focused on speaking to senior procurement professionals at leading multinational companies.

Trends 2021: Big Data

Enterra Insights

There is no denying we live in the Digital Age and that data is driving the economy. Back in 2014, Joris Toonders ( @joristoonders ), the entrepreneur behind Yonego, wrote, “Data in the 21st Century is like Oil in the 18th Century: an immensely, untapped valuable asset. Like oil, for those who see Data’s fundamental value and learn to extract and use it there will be huge rewards. We’re in a digital economy where data is more valuable than ever. Big Data Trends.

SONAR expands its reefer data

The Supply Chain Journal

Since its introduction in 2018, FreightWaves SONAR has provided subscribers with the most current freight market data, analysis and insights. SONAR is the only freight forecasting platform that combines contract tender data with spot rate data and creates predictive freight rates.

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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!

COVID-19 & SCM – Importance of Operations Management to Overcome the Limitations of Data-Driven

Arkieva

An often-heard theme in supply chain management (SCM) and COVID-19 is “data-driven” – being data-driven is the path to success. COVID-19 & SCM – Importance of Operations Management to Overcome the Limitations of Data-Driven was first posted on May 20, 2020 at 8:47 am. ©2017

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Emergency Shipping Amid Uncertainty Through Data Driven TMS

GlobalTranz

The post Emergency Shipping Amid Uncertainty Through Data Driven TMS appeared first on Transportation Management Company | Cerasis. Data TMS Data Driven TMS

Data 156

Turning Supply Chain Data into Business Intelligence

3PL Insights

Big data is only useful if you understand the metrics and can connect them to the important areas of your business. But how do we turn inventory management data and other key metrics into business intelligence? Account Activity Data. Bottom line: the data doesn’t lie.

Optimize Your E-commerce Returns Strategy With Real-Time Data

GlobalTranz

To reap the rewards of a data-driven e-commerce returns strategy, logistics leaders should follow these steps: Keep all stakeholders working together and sharing the right information with related communications via API-integrated systems.

4 Data-Driven Steps To Drive Successful B2B Demand Generation

Fact: Good data lives at the core of every successful B2B demand generation strategy. Without quality data, it’s nearly impossible to identify and segment your target audience and create messaging that speaks to their values and interests. Whether you’re stepping into a new position or you’re new to demand generation, learning the tricks of the trade can be, well, tricky. In this eBook, you’ll discover how to improve your demand generation program—and your bottom line.

Data Science Tools of the Trade: Monte Carlo Computer Simulation

Arkieva

Data Science Tools of the Trade: Monte Carlo Computer Simulation was first posted on November 24, 2020 at 7:39 am. ©2017

Tools 78

Syndicated Data for CPGs

SupplyPike

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.

Data 83

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

Kinaxis

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.”. And trust me, I’ve seen some companies whose data is worthy of a top 10 list of the worst data around, including companies where: A bill of material is only 10% accurate. The point is that data has been bad, is bad and will continue to be bad.

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Big Data is Gold

Enterra Insights

We live in the Digital Age in which the global economy is fueled by data. As a result, most analysts believe companies need to transform into digital enterprises so they can take advantage of data and the technologies used to leverage that data. Alex Toma ( @alexbreakline ), a digital marketing specialist, writes, “Data has always been fundamental to the success of digital.”[1] The World Economic Forum has declared big data an asset class like gold or oil.

The Forrester Wave™: B2B Marketing Data Providers, Q2 2021

In our 24-criterion evaluation of B2B marketing data providers, we identified the 11 most significant vendors — Data Axle, Dun & Bradstreet, Enlyft, Global Database, InsideView, Leadspace, Oracle, SMARTe, Spiceworks Ziff Davis, TechTarget, and ZoomInfo Technologies — and researched, analyzed, and scored them. This report shows how each provider measures up and helps B2B marketing professionals select the right one for their needs.