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CEVA Logistics Selects IBM SmartCloud
Market conditions are driving requirements for visibility and control across global operations and supply chains, as witnessed by a number of recent E2open wins

logistics data flow  customers’ supply chain and logistics processes with technologies that makes it easier to access, share, and process information in real time. IBM Sterling B2B Integration Services , a managed services cloud offering for business-to-business (B2B) translations and interactions, is part of IBM’s aforementioned Smarter Commerce initiative, which is designed to help companies manage their supply and demand processes through intelligent automation. This solution is also part of IBM’s growing Read More...
Supply Chain Management (SCM)
Supply chain management (SCM) solutions include applications for managing supplier, manufacturer, wholesaler, retailer, and customer business processes. Addressing demand management, warehouse mana...
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Documents related to » logistics data flow


New Data Triggers for International Supply Chain Finance
Corporations have drastically changed their global supply chain models over a short period. The market is also in the early stages of migrating to data

logistics data flow  manager or third party logistics (3PL) providers manage and pay these suppliers, adding layers and additional time in the supply chain. Force #3: Internet-based technologies enable the real-time exchange of information about product data between trading partners. Determining how much banks would lend against your receivables was once a manual effort; now technology has changed the landscape. Banks used to look at boxes of aging reports to prepare their borrowing-based reports, and then credit analysts Read More...
Collaborative Logistics Technology: Filling the Competency Gap
It’s not just operating talent and facilities that win business for logistics service providers. Every community of clients, customers, suppliers, and carriers

logistics data flow  the growing demands of logistics IT? EDI: Electronic Data Interchange (EDI) is the most obvious place to start. It is the most traditional form of logistics collaboration. EDI can be defined as a transfer of structured data, by agreed message standards, from one computer system to another without human intervention. EDI ‘standards’ were designed to formalize the format of trading documents between systems. In theory this makes a lot of sense. In practice, different companies have different Read More...
Supplier Logistics Management (SLM) Part 3
This continues the coverage of the fundamental issues targeted by supplier logistics management. Fully utilizing the compliance benefits that SLM offers allows

logistics data flow  3 Executive Summary SUPPLIER LOGISTICS MANAGEMENT The Next Strategic Layer of Competitive Advantage Supply chain executives are in the hot seat given the flat economy and a slowdown in revenue growth. They are challenged by senior executives to find new and innovative ways to reduce cost, while still meeting customer needs. However, in today's customer-centric environment, meeting customer's expectations is not a competitive advantage, but a fundamental necessity of existence. Delivering products on Read More...
Supplier Logistics Management (SLM) Part 2
Supplier Logistics Management (SLM) offers the opportunity for considerable improvement in efficiency as well as cost reductions. SLM enables companies and

logistics data flow  fact, a 2000 Food Logistics survey highlighted the most frequent benefit resulting from the adoption of e-technology was increased data accuracy' (6) (see figure 1). Existing error prone communication vehicles, including phone, fax and keystrokes, result in data that is often mis-entered and mismatched in the various supplier and company systems. SLM bridges this gap by providing a single communication platform, allowing suppliers and companies to see synchronized information across their networks. A Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

logistics data flow  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

logistics data flow  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

logistics data flow  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed

logistics data flow  - Riverbed Whitewater: Optimizing Data Protection to the Cloud Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability. Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

logistics data flow  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for Read More...
Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

logistics data flow  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

logistics data flow  Management and Business Performance: Part 1-Data Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of their data as well as to ways to capture the most valuable Read More...

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