Logistics - Business Analysis Digest

Ways Businesses Can Boost Logistics Performance with Analytics

Smart Data Collective

JUNE 30, 2022

One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. This is particularly true with logistics processes. The IoT has helped improve logistics , but big data has been even more impactful.

Logistics

Logistics Supply Chain E-Commerce Data Analytics

Unraveling logistic regression: An essential guide to predictive analysis

Analysts Corner

MAY 22, 2023

Introduction Logistic regression, much like linear regression, stands as a fundamental method in predictive analytics. However, while linear regression is typically employed for predicting quantitative outputs, logistic regression shines in the realm of categorical predictions, primarily binary. The threshold at 0.5 Less than 0.5,

Logistics

Logistics Predictive Analytics Healthcare Finance

Logistics, Data, and AI: Key Learnings from the Pandemic

Dataversity

MAY 25, 2022

The post Logistics, Data, and AI: Key Learnings from the Pandemic appeared first on DATAVERSITY. And with this in mind, earlier this year, we commissioned an in-depth report on how the pandemic impacted the freight procurement industry, by speaking with hundreds of shippers with $100 million-plus in annual freight spend.

Logistics

Logistics Supply Chain Procurement Digital Transformation

Closing the Logistics Data Gap

Dataversity

JUNE 1, 2021

While data has been proliferating throughout the supply chain, helping companies drive efficiency and boost revenue, there’s one notable area that’s lagging behind: logistics. The post Closing the Logistics Data Gap appeared first on DATAVERSITY.

Logistics

Logistics Supply Chain Digital Transformation Artificial Intelligence

Digitizing Logistics: Harness the Power of Data in 4 Steps

Advertiser: ZoomInfo

Entering a new demand gen position in a volatile market is nerve-wracking. All eyes are on you to make an impact — fast. That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how.

Logistics

What Is Binary Logistic Regression and How Is It Used in Analysis?

Dataversity

JULY 30, 2021

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What Is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables.

Logistics

10 Examples of How Big Data in Logistics Can Transform The Supply Chain

Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Supply Chain

Supply Chain Logistics Big Data Customer Experience

Logistics Management Software – Everything You Should Know

Fingent

APRIL 22, 2021

How Logistics Management Software and Technology Will Transform Businesses in 2021 Without logistics software management, Pfizer cannot become one of the world’s largest sterile injectables suppliers in 2021. The post Logistics Management Software – Everything You Should Know appeared first on Fingent Technology.

Logistics

Logistics Monitoring Supply Chain

Role of Business Analysis in the Transportation and Logistics Industry

Adaptive US

NOVEMBER 27, 2023

In this fast-paced transportation and logistics industry, seamless movement of goods and services is vital for businesses to thrive. Enter the business analyst role, which is crucial in ensuring smooth operations and optimal decision-making within transportation and logistics companies. But have you ever wondered how it all happens?

Logistics

Logistics Business Analysis Business Analysis

IoT Connectivity & the Significance of Fleet Management in Logistics Industry

BizAcuity

JULY 22, 2019

By using fleet management optimization techniques, logistics companies can identify time-consuming activities and work on improving operational KPIs. The post IoT Connectivity & the Significance of Fleet Management in Logistics Industry appeared first on BizAcuity. The Benefits of Fleet Management Optimization.

Logistics

Logistics Artificial Intelligence Retail Finance

What is reverse logistics? – PODCAST

Clarasys

NOVEMBER 9, 2022

In the sixth episode of our Snack-sized sustainability podcast, Wilf Stoddart discusses reverse logistics. Tune in to hear what reverse logistics means, how it works and benefits for organisations. Never Mind the Pain Points · What is reverse logistics? Today I will be talking you through the term reverse logistics.

Logistics

Logistics Supply Chain Retail Customer Experience

What is Binary Logistic Regression Classification and How is it Used in Analysis?

ElegantJ BI

OCTOBER 17, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables.

Logistics

Logistics Banking Data Discovery Business Intelligence

What is Binary Logistic Regression Classification and How is it Used in Analysis?

ElegantJ BI

OCTOBER 17, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables.

Logistics

Logistics Banking Data Discovery Business Intelligence

What is Binary Logistic Regression Classification and How is it Used in Analysis?

ElegantJ BI

OCTOBER 17, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables. Use Case – 1.

Logistics

Logistics Banking Data Discovery Business Intelligence

EDI Trucking: Revolutionizing Dispatch and Delivery in Logistics

Astera

JULY 18, 2023

This significant growth is a testament to the transformative power of EDI in revolutionizing dispatch and delivery processes in the logistics industry. EDI trucking is the electronic exchange of business data between logistics partners, enabling seamless communication and collaboration throughout the supply chain.

Logistics

Logistics Supply Chain Documentation Real-time Data

6 Tips for Logistics and Supply Chain Leaders to Plan COVID-19 Vaccine Distribution Strategies

Fingent

JANUARY 19, 2021

The logistics and supply chain market is predicted to experience most complexities this 2021, especially with the COVID-19 vaccine distribution. Here are ways to enable smooth logistics operations, even amidst the chaos!

Supply Chain

Supply Chain Logistics Planning Digital Transformation

What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

ElegantJ BI

AUGUST 14, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm?

Logistics

Logistics Data Discovery Business Intelligence Business Intelligence

What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

ElegantJ BI

AUGUST 14, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm?

Logistics

Logistics Data Discovery Business Intelligence Business Intelligence

What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

ElegantJ BI

AUGUST 14, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm? About Smarten.

Logistics

Logistics Data Discovery Business Intelligence Business Intelligence

How AIOps can Transform Manufacturing and Logistics

GAVS Technology

SEPTEMBER 13, 2021

In past few years, AI has proved transformational for numerous industries, including the manufacturing and logistics industry. AIOps (Artificial Intelligence for IT Operations) is being used by manufacturing and logistics firms to improve their productivity. How AIOps is used in the logistics industry? In a nutshell.

Logistics

Logistics Supply Chain Monitoring Artificial Intelligence

Improving Supply Chain Logistics with Geographic Proximity Matching

Domo

MAY 6, 2022

For a third-party logistics company like RWI Logistics, geographic data can be a crucial tool for solving problems and creating solutions for our customers. Since implementing this process, RWI Logistics has improved the efficiency and consistency of location-matching tasks.

Supply Chain

Supply Chain Logistics Visualization

Prints, Processes, and Pitfalls: More Than Just Process Design!

BA Times

FEBRUARY 14, 2024

I was recently planning the logistics of an upcoming client workshop. I needed 12 copies of a document printed and spiral bound, and I visited the website of a printing company that we’ve used many times before for such tasks. The website had changed, and unfortunately I couldn’t complete the order.

Logistics

Logistics Documentation Planning

Unveiling Logistic Regression: A Vital Tool for Classification in Machine Learning using Python

Analysts Corner

DECEMBER 29, 2023

Introduction Continue reading on Analyst’s corner »

Logistics

Logistics Data Analytics Data Analytics

6 Tips for Logistics and Supply Chain Leaders to Plan COVID-19 Vaccine Distribution Strategies

Fingent

JANUARY 19, 2021

The logistics and supply chain market is predicted to experience most complexities this 2021, especially with the COVID-19 vaccine distribution. Here are ways to enable smooth logistics operations, even amidst the chaos!

Supply Chain

Supply Chain Logistics Planning Digital Transformation

How to Use IoT (Internet of Things) in Logistics Industry: Successful Use Cases

Digiteum

DECEMBER 29, 2021

The post How to Use IoT (Internet of Things) in Logistics Industry: Successful Use Cases appeared first on Digiteum.

Logistics

Logistics Big Data

Case Study on Business Intelligence for a leading Logistics & Cold Storage Company in Saudi Arabia

ElegantJ BI

MAY 16, 2016

A leading third-party logistics (3PL) and cold storage provider in Saudi Arabia, headquartered in Jeddah needed a scalable, comprehensive, and robust Business Intelligence solution built on industry-standard architecture that also runs on their SAP® BW.

Logistics

Logistics Business Intelligence Business Intelligence

Case Study on Business Intelligence for a leading Logistics & Cold Storage Company in Saudi Arabia

ElegantJ BI

MAY 16, 2016

A leading third-party logistics (3PL) and cold storage provider in Saudi Arabia, headquartered in Jeddah needed a scalable, comprehensive, and robust Business Intelligence solution built on industry-standard architecture that also runs on their SAP® BW.

Logistics

Logistics Business Intelligence Business Intelligence

Case Study on Business Intelligence for a leading Logistics & Cold Storage Company in Saudi Arabia

ElegantJ BI

MAY 16, 2016

A leading third-party logistics (3PL) and cold storage provider in Saudi Arabia, headquartered in Jeddah needed a scalable, comprehensive, and robust Business Intelligence solution built on industry-standard architecture that also runs on their SAP® BW.

Logistics

Logistics Business Intelligence Business Intelligence

Introducing Professional Certificate Program in Data Analytics | Simplilearn

Simplilearn

SEPTEMBER 28, 2022

Data analytics is revolutionizing virtually every industry by providing visibility and helping professionals make smart, targeted decisions based on insight into consumer behavior, logistics, production timelines, and more. Organizations of all sizes are scrambling to keep up and looking for qualified data analytics professionals.

Data Analytics

Data Analytics Data Analytics Logistics

Doing Better Brainstorming: A Business Analyst’s Guide

BA Times

JUNE 30, 2022

Take Care of the Logistics […]. Business analysts must learn to be intentional in their brainstorming to generate worthwhile, actionable ideas consistently. Here’s how to lead more productive brainstorming sessions.

Logistics

5 Artificial Intelligence Trends Changing The eCommerce Industry

Smart Data Collective

APRIL 10, 2020

Automated Logistics. In fact, a big use of AI in the industry is the automation of logistical processes. Artificial intelligence is being used to automate logistical processes in the eCommerce industry. Automated logistics systems improve warehouse efficiency. Email list syncing is another trend in AI automation.

Artificial Intelligence

Artificial Intelligence Logistics Supply Chain Visualization

Several IIoT Solutions That Help Your Business

Smart Data Collective

FEBRUARY 3, 2022

Industrial Internet of Things (IIoT) finds application in various spheres, such as production, logistics, trade, healthcare, and transport industry. Logistics and Warehousing. In warehousing and logistics, the tracking platform monitors the movement of equipment or goods in real-time.

Logistics

Logistics Healthcare Monitoring Artificial Intelligence

What is Simple Linear Regression in Machine Learning? | Simplilearn

Simplilearn

JUNE 1, 2023

Linear regression models use a straight line, while logistic and nonlinear regression models use a curved line. Regression is a tool that allows you to estimate how the dependent variable changes as the independent variable(s) change. Regression models describe the relationship between variables by fitting a line to the observed data.

Logistics

12 Jobs That Are Booming in the Age of Big Data

Smart Data Collective

JANUARY 27, 2022

Logistics Expert. A logistics specialist needs to develop the cheapest way to deliver products. The surge in online sales amid the outburst of pandemics also boosted demand for logistics professionals. As a result, the best career prospects await logistics experts in large retail chains and transport companies.

Big Data

Big Data Logistics Artificial Intelligence Data Analytics

Improving Fleet Management with Blockchain Technology

Smart Data Collective

AUGUST 3, 2023

As the logistics sector continues to expand and evolve, blockchain technology is becoming an integral part of supply chain procedures. The logistics industry is prepared for a technology overhaul, and a distributed ledger is the next big thing due to its transparent records, decreased prices, and efficient route information.

Supply Chain

Supply Chain Logistics Monitoring Customer Experience

Supply Chain Management Salary in India & US | Simplilearn

Simplilearn

MAY 31, 2023

With the expansion of global trade, supply chain management professionals play a crucial role in optimizing operations and ensuring efficient logistics. Supply chain management salary is an important factor affecting the career choices of professionals when taking a decision on the career path and goal setting.

Supply Chain

Supply Chain Logistics

COVID-19 Vaccine Distribution: Addressing Data Challenges | Simplilearn

Simplilearn

JANUARY 25, 2021

Distributing the COVID-19 vaccine is a logistical puzzle that teeters on a delicate structure of chemists, data scientists, freight drivers, healthcare professionals, distributors, state health departments, and policy makers. When even one of these pieces in the structure is imbalanced, the whole vaccine distribution tower could tumble.

Logistics

Logistics Healthcare

Why Geospatial Data Should Be Easily Accessible for Every Employee

Dataversity

MAY 31, 2023

Unlocking the power of geospatial data can give organizations a competitive edge, from optimizing supply chain logistics and enhancing customer experience to mitigating fraud and improving public health outcomes. But despite its far-reaching benefits, many organizations fail to fully harness geospatial data’s potential.

Supply Chain

Supply Chain Logistics Customer Experience Customer Experience

How do you Market to a fridge? With an Algorithm Whisperer…

Timo Elliott

APRIL 8, 2024

And to do that, you need to be able to get a view of their activities across every aspect of your interactions: not just they purchasing experience, but also billing and logistics and support and product design.

Retail

Retail Logistics Digital

The Three Techniques for Improving Analytics ROI in the Cloud

Dataversity

DECEMBER 9, 2020

Collecting and then analyzing retail data like customer visits, logistic fulfillment, pricing, and customer satisfaction presents a […]. In an industry as competitive as eCommerce retail, the ability to turn data into actionable insights presents the opportunity to make business decisions that drive more revenue and control costs.

Logistics

Logistics Retail Data Modelling Data Architecture

Can AI Help Factories Lower Costs Enough To Survive The Coming Recession?

Smart Data Collective

APRIL 20, 2023

This is because it can optimize the supply chain efficiently, reducing inventory logistics costs. Aside from that, an AI-powered factory can also predict and mitigate supply chain disruptions, preventing delays and increasing logistics efficiency. These ensure that a factory can have the right amount of stock at the right time.

Supply Chain

Supply Chain Logistics Predictive Analytics Artificial Intelligence

Types of Business Analytics: Tools, Examples, Jobs 2022 | Simplilearn

Simplilearn

SEPTEMBER 26, 2022

Starbucks, Accenture, Amazon, Splunk, Google, Uber, IBM, and many popular companies use business analytics to personalize product recommendations, land logistical business decisions and better understand markets, customers, and business processes. Read More.

Logistics

50 SAP SD Interview Questions and Answers | Simplilearn

Simplilearn

SEPTEMBER 15, 2022

The demand for logistics management in companies has led SAP to develop multiple modules that can focus on sales and distribution. Various large organizations are looking for experts who can help them properly manage their supply chain. Preparing the following SAP SD interview questions will help to crack an interview at a top tech company.

Supply Chain

Supply Chain Logistics

ERP Integration Benefits Data-Savvy eCommerce for Distribution Industry

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. Integrated ERP folds RMAs and return logistics smoothly into the system. ERP software is ideally suited to sorting out the often-tangled logistics of returns.

E-Commerce

E-Commerce Supply Chain Retail Logistics

Ways Businesses Can Boost Logistics Performance with Analytics

Unraveling logistic regression: An essential guide to predictive analysis

Trending Sources

Logistics, Data, and AI: Key Learnings from the Pandemic

Closing the Logistics Data Gap

Digitizing Logistics: Harness the Power of Data in 4 Steps

What Is Binary Logistic Regression and How Is It Used in Analysis?

10 Examples of How Big Data in Logistics Can Transform The Supply Chain

Logistics Management Software – Everything You Should Know

Role of Business Analysis in the Transportation and Logistics Industry

IoT Connectivity & the Significance of Fleet Management in Logistics Industry

What is reverse logistics? – PODCAST

What is Binary Logistic Regression Classification and How is it Used in Analysis?

What is Binary Logistic Regression Classification and How is it Used in Analysis?

What is Binary Logistic Regression Classification and How is it Used in Analysis?

EDI Trucking: Revolutionizing Dispatch and Delivery in Logistics

6 Tips for Logistics and Supply Chain Leaders to Plan COVID-19 Vaccine Distribution Strategies

What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

How AIOps can Transform Manufacturing and Logistics

Improving Supply Chain Logistics with Geographic Proximity Matching

Prints, Processes, and Pitfalls: More Than Just Process Design!

Unveiling Logistic Regression: A Vital Tool for Classification in Machine Learning using Python

6 Tips for Logistics and Supply Chain Leaders to Plan COVID-19 Vaccine Distribution Strategies

How to Use IoT (Internet of Things) in Logistics Industry: Successful Use Cases

Case Study on Business Intelligence for a leading Logistics & Cold Storage Company in Saudi Arabia

Case Study on Business Intelligence for a leading Logistics & Cold Storage Company in Saudi Arabia

Case Study on Business Intelligence for a leading Logistics & Cold Storage Company in Saudi Arabia

Introducing Professional Certificate Program in Data Analytics | Simplilearn

Doing Better Brainstorming: A Business Analyst’s Guide

5 Artificial Intelligence Trends Changing The eCommerce Industry

Several IIoT Solutions That Help Your Business

What is Simple Linear Regression in Machine Learning? | Simplilearn

12 Jobs That Are Booming in the Age of Big Data

Improving Fleet Management with Blockchain Technology

Supply Chain Management Salary in India & US | Simplilearn

COVID-19 Vaccine Distribution: Addressing Data Challenges | Simplilearn

Why Geospatial Data Should Be Easily Accessible for Every Employee

How do you Market to a fridge? With an Algorithm Whisperer…

The Three Techniques for Improving Analytics ROI in the Cloud

Can AI Help Factories Lower Costs Enough To Survive The Coming Recession?

Types of Business Analytics: Tools, Examples, Jobs 2022 | Simplilearn

50 SAP SD Interview Questions and Answers | Simplilearn

ERP Integration Benefits Data-Savvy eCommerce for Distribution Industry

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