Expert insights. Personalized for you.
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? MORE
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? MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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 MORE
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 MORE
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? MORE
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. MORE
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 MORE
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 MORE
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 MORE
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 MORE
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. MORE
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. MORE
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 MORE
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 MORE
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 MORE
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. MORE
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. MORE
The post Emergency Shipping Amid Uncertainty Through Data Driven TMS appeared first on Transportation Management Company | Cerasis. Data TMS Data Driven TMS MORE
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. MORE
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 MORE
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? ✓ MORE
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 MORE
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. MORE
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.”. MORE
Data Related Topics Cerasis
AUGUST 5, 2020
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?
Cerasis
MAY 29, 2019
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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Cerasis
MAY 8, 2020
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
Cerasis
JANUARY 27, 2020
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
Advertiser: ZoomInfo
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.
Kinaxis
SEPTEMBER 8, 2017
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? ✓
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Cerasis
APRIL 27, 2020
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
Kinaxis
OCTOBER 2, 2017
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.
Cerasis
JULY 18, 2019
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?
Arkieva
MAY 20, 2020
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
Advertiser: ZoomInfo
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!
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Cerasis
APRIL 8, 2015
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
Kinaxis
AUGUST 11, 2016
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.
Cerasis
SEPTEMBER 23, 2015
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.
Cerasis
JUNE 2, 2015
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.
Advertiser: ZoomInfo
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.
ivalua
NOVEMBER 14, 2019
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.
SupplyPike
MAY 19, 2020
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.
Supply Chain Shaman
SEPTEMBER 4, 2017
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.
Cerasis
JANUARY 17, 2020
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
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.
Logility
MAY 28, 2020
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.”.
ivalua
DECEMBER 17, 2019
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.
ivalua
FEBRUARY 4, 2020
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.
Cerasis
JANUARY 24, 2020
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.
Advertiser: ZoomInfo
This eBook highlights how data-driven strategies empower marketing campaigns through personalization tactics.
The Network Effect
OCTOBER 21, 2019
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
AIMMS
APRIL 28, 2020
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?
Cerasis
NOVEMBER 8, 2018
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
Supply Chain Shaman
JULY 9, 2013
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.
Advertisement
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
Arkieva
JUNE 3, 2020
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
Logility
MAY 7, 2020
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.
Arkieva
APRIL 22, 2020
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
Cerasis
MARCH 29, 2019
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.
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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!
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