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. 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. Data Supply Chain Supply Chain Data

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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. Data Freight

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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.

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. Good data security in your supply starts with proactivity. How is data backed up? ✓

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. Data Supply Chain supply chain resilience

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.”. Clearly, proving ‘data fix’ projects aren’t the answer.

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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?

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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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!

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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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.

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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.

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.

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.

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! Tip #1 – Use holistic data modeling to optimize organizational needs.

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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.

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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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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. Data Freight freight data visibility

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.

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

Logility

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.”.

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.

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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 ”. Getting Data right is an imperative. Source: 2019 Supply Chain Data Quality and Governance Study.

Data 130

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.

Data 242

Data-Driven Marketing 101

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

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

Spending too much time on data crunching, not enough on resilient planning decisions? You’re not alone.

AIMMS

Supply chain data is critical to the planning function. Our recent Planning Maturity Assessment shows that 4 5 % of organizations are satisfied with their data quality, to some degree. How much time are supply chain teams spending on data?

Data 194

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 E-Commerce Logistics

Welcome in the Big Data Opportunity

Supply Chain Shaman

The term big data is moving up the charts as a “hot topic.” We wanted to understand where companies are at in the adoption of big data concepts and we had a good time writing the report on the research. Instead they are in the areas of product management or channel data.

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

Avoiding Data Driven Disasters – Operations Management (OM) To The Rescue

Arkieva

If you are thinking “machine learning and AI” will save you from data disasters – think again as the pandemic behavior is playing havoc with machine learning models. Avoiding Data Driven Disasters – Operations Management (OM) To The Rescue was first posted on June 3, 2020 at 8:04 am. ©2017

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Conquering the Explosion of Supply Chain Planning Data

Logility

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.

COVID-19 Data Analysis Basics – Taking the Mystery Out of Smoothing Daily Counts

Arkieva

Recently in presentations, smoothing methods used to overcome limitations is presenting the raw daily data. COVID-19 Data Analysis Basics – Taking the Mystery Out of Smoothing Daily Counts was first posted on April 22, 2020 at 8:32 am. ©2017

The Role of Data Inaccuracy in Poor Omnichannel Experiences

Cerasis

Poor data quality and accuracy are two of the most significant risks to omnichannel experiences. Applying the wrong data can result in poor omnichannel experiences and tarnish your brand. Supply chain leaders need to understand this fact and how to avoid risk.

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!