Building a Better Data-Driven Reverse Supply Chain

Cerasis

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

Cerasis

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

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What Supply Chain Data Should I Track in 2020?

Cerasis

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. To ensure your organization applies data correctly and generates meaningful KPIs, supply chain leaders must know the challenges of data tracking, how it improves.read More. The post What Supply Chain Data Should I Track in 2020?

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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? ✓

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.

Using Freight Data to Increase Negotiating Power

Cerasis

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. Moreover, logistics data is an immensely complex arena of information. The post Using Freight Data to Increase Negotiating Power appeared first on Transportation Management Company | Cerasis. Data Freight

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Emergency Shipping Amid Uncertainty Through Data Driven TMS

Cerasis

The post Emergency Shipping Amid Uncertainty Through Data Driven TMS appeared first on Transportation Management Company | Cerasis. Data TMS Data Driven TMSControl over the end-to-end supply chain lies in careful planning of both inbound and outbound activities, and without doubt, disasters and emergencies will eventually arise.

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Big Data Analytics to Improve Supply Chain Resilience

Cerasis

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. The post Big Data Analytics to Improve Supply Chain Resilience appeared first on Transportation Management Company | Cerasis. Data Supply Chain supply chain resilience

Machine Learning and Data Science Tools of the Trade: First-Order Difference

Arkieva

There are a number of data analysis “tools of the trade” that have proven effective in exploring data to get it to tell a story. Machine Learning and Data Science Tools of the Trade: First-Order Difference was first posted on August 25, 2020 at 7:47 am. ©2017

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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.

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!

The cost of bad data: Hidden costs

HICX Solutions

This is the second in our series of articles on ‘What is bad supplier data costing you?’ In our previous article , we looked at some real world examples of how poor supplier data can lead to bad or inconsistent decision making. The cost of bad data is far higher than you would imagine.

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Solving the Procurement Data Dilemma: How to use procurement data to avoid failure and fraud

HICX Solutions

Peter Smith also highlights how obtaining the vendor master data record during onboarding plays an absolutely critical role in ensuring that the right suppliers are approved and for establishing solid future relationships. The role of data in supporting wider initiatives.

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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 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.

TMS Data: What Should a Transportation Management System Track?

Cerasis

The right application and aggregation of TMS data empower shippers with the information necessary to achieve end-to-end supply chain visibility, understand freight costs, and plan for changes in demand. The post TMS Data: What Should a Transportation Management System Track? Data TMS TMS DataImplementing a TMS opens the door to new insights and advanced reporting capabilities.

Solving the Procurement Data Dilemma: Using supplier data to drive successful relationships

HICX Solutions

In our second interview in the series on ‘Solving the Procurement Data Dilemma,’ which supports a full survey carried out by HICX and Raconteur on the subject, Gren Manuel speaks to Richard Wilding, OBE. Data that is brought in will lead to knowledge.

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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. As businesses collect and store an ever increasing amount of data, the algorithms required to make sense of this data will become even more valuable. Data, Data, Everywhere… but Make Sure your Drinking from the Right Hose. This process is referred to as ‘data cleansing.’.

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[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?

Mission Critical: Leveraging Learning Engineering to Drive Digital Transformation

Speaker: Trish Uhl, Founder of Owl's Ledge LLC and the Talent & Learning Analytics Leadership Forum

Digital is disrupting every part of an organization's value chain at a record pace, creating a critical need to transform operations and employees' ways of working. Formal training alone can't keep up; it's often too slow, too generic, inconvenient, inefficient, unduly expensive and lacks or lags methods for measuring business-related effectiveness. Trish Uhl show you how to start leveraging Learning Engineering, a multidisciplinary approach that combines modern technology, data analytics, decision science, learning sciences and change management with human-centered engineering design methodologies to ultimately deliver targeted learning outcomes and business results that keep pace with the business and merge learning into the flow of work and lead Digital Adoption.

7 Avoidable Data Errors in Your Supply Chain Data

Kinaxis

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. Inconsistent and incorrect dimension data can result in products that don’t fit into shipping containers, that are properly processed at distribution centers, or that fit on store shelves.

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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 For COVID-19 “science-driven” is often said in the same sentence. For SCM demand or customer-driven replaces “science”.

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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. Big Data and Supply Chain Analytics Offering Benefits of Continual Improvements and More… Big data is more useful than many people fully realize. All of these factors make using big data valuable.

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. YCharts is a provider of syndicated balance sheet and income statement data.) In addition, we enriched the data lake with 20 market indexes on cost, growth and market trends.

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Data-Driven Marketing 101

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

8 Tips to Help Procurement Optimize Supplier Master Data

ivalua

Gartner predicts that by 2023, organizations that don’t optimize supplier master data management (MDM) could have wrong information for half of their suppliers! Accurate supplier master data (SMD) is essential for procure-to-pay (P2P) automation, accuracy and analytics, but connecting data to users and systems sometimes gets bumpy. The advice comes from this report: “ Gartner Supplier Master Data: Gain Control Over Your Supplier Master Data Before It’s Too Late.”

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How bad supplier data undermines your decision-making

HICX Solutions

We know that bad data causes inefficiencies and creates vast sums of extra cost. Omera Khan, professor of supply chain management at Royal Holloway, University of London, explains, “too few organizations appreciate the costs of incomplete, out of date, or low-quality supplier data.

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The Road to Freight Management Hell: Why Poor Freight Data Visibility and Outdated Systems Hold Shippers in Purgatory

Cerasis

Failures within freight data visibility contribute to compounding consequences throughout downstream supply chain operations, and the problem only grows worse from there. The post The Road to Freight Management Hell: Why Poor Freight Data Visibility and Outdated Systems Hold Shippers in Purgatory appeared first on Transportation Management Company | Cerasis. Data Freight freight data visibility

12 Ways To Get Control Over Supplier Master Data

ivalua

Procure-to-pay (P2P) automation and analytics won’t work very well without accurate supplier master data. Yet that goal — data accuracy — remains a considerable challenge for many Procurement and Accounts Payable organizations. This Gartner report, “Gain Control Over Your Supplier Master Data Before It’s Too Late,” has lots of ideas for improvement. As a starting point for your governance model, determine what master data exists and who owns master data decisions.

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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!

2020 The Year To Address The Elephant in Every Room – Data

ivalua

North Carolina State Poole College of Management recently produced this 28 page report entitled “ 2019 Supply Chain Data Quality and Governance Study ”. The report contains some great illustrations of the current state of Data governance across the organizations that were surveyed, with a specific focus on the supply chain. In this blog, I have attempted to extrapolate some of the main points shared by those who are winning, or at least, not losing the war on bad data.

Data 100

How to use Master Data Management to Drive Transformation

The Network Effect

The post How to use Master Data Management to Drive Transformation appeared first on The Network Effect. Big Data Digital Supply Chain Multiparty Network Network Business Supply Chain Management master data management

Tips to Reduce Safety Stock With Data and a WMS

Cerasis

The post Tips to Reduce Safety Stock With Data and a WMS appeared first on Transportation Management Company | Cerasis. Safety stock concerns continue to plague omnichannel supply chains. Omnichannel brought an influx of customers to businesses and led to an increase of products and SKUs shipped in multiple modes, in a myriad of ways. The basic supply chain model has evolved, and in response, supply chain leaders have increased the level of safety stock.read More.

Managing E-Commerce Fulfillment Spikes With Data Analysis

Cerasis

This creates a major problem for managing e-commerce fulfillment when orders spike and shippers need to understand how data analysis may help. Disjointed systems and data silos, creating delays in processing and deficiencies in visibility. Data Analysis Enhances E-Commerce Forecasts and More Take a moment to consider what goes into managing e-commerce fulfillment. Flexibility to enable better insights into data, like increasing employees to meet short-term spikes in demand.

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