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Software Functionality Revealed in Detail
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 logistic data


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

logistic data  manufacturers, global transportation and logistic companies, financial institutions, and global trade vendors to assess existing and emerging trade data and document solutions. As part of that exercise, we discussed, with each segment, their views on international supply chain finance. There are four transformative forces driving corporate global supply chains: Globalization Outsourcing Security and regulatory mandates, and Technology Our discussions with corporation after corporation indicated that many

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Software Functionality Revealed in Detail

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Supply Chain Management (SCM)

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Documents related to » logistic data

RedPrairie - New Name For A Brave New Value Proposition Paradigm Part Three: Continued Market Impact


RedPrairie's solution for the first time enables both private & third party logistic providers (3PLs) to meet the needs of multiple vertical industries within a single WMS solution

logistic data  private & third party logistic providers (3PLs) to meet the needs of multiple vertical industries within a single WMS solution. These providers face special challenges because their customer base may include companies in multiple verticals, each having unique distribution requirements. For example, consumer goods and food & beverage companies need detailed tracking of catch weights, aging profiles and expiration dates, multiple overlapping holds, and other lot control criteria while high tech companies Read More

N-Tier Demand Management


The classic bull-whip effect means that the further a supplier is removed from the end consumer, the worse are the fluctuations in demand that they see. This has led many to recommend an n-tier approach to demand management, where everyone gets visibility to the end-customer demand at the same time. In practice, very few companies have been able to actually realize this vision. There are some practical approaches that a few leading suppliers deep in the supply chain are have taken to successfully mitigate the bull-whip effect.

logistic data  Tier Demand Management Introduction The classic bull-whip effect means that the further a supplier is removed from the end-consumer, the worse are the fluctuations in demand that they see. This has led many to recommend an n-tier approach to demand management, where everyone gets visibility to the end-customer demand at the same time. In practice, very few companies have been able to actually realize this vision. There are some practical approaches that a supplier deep in the supply chain can do to Read More

Komatsu Employs “Mod Squad” For Logility Implementation


At the Connections 2000 Logility user conference in New Orleans, users recounted implementation stories. Few were as striking as that of the Komatsu’s DRP implementation modifications, a testament to human ingenuity.

logistic data  Employs “Mod Squad” For Logility Implementation Komatsu Employs Mod Squad For Logility Implementation S. McVey - April 11th, 2000 Event Summary At the Connections 2000 Logility user conference in New Orleans, users recounted implementation stories. Few were as striking as that of the Komatsu's DRP implementation modifications, a testament to human ingenuity. Komatsu America is the second largest supplier of construction and mining equipment in the Western Hemisphere. It sells a complete line Read More

Descartes Systems Acquires Two European Companies, Strengthens Logistics Network


Descartes Systems has recently acquired Compudata, a leading provider of business-to-business (B2B) supply chain integration and e-invoicing solutions in Switzerland, and Impatex Freight Software Limited, a leading provider of electronic customs filing and freight forwarding solutions in the United Kingdom. Descartes’ customers should now have a single trusted partner to help them manage their shipments across the globe.

logistic data  customers to Descartes' Global Logistic Network , with the majority of these in the UK. By combining Impatex's UK customs and forwarding solutions with Descartes' global community of logistics participants and logistics management solutions, customers should now have a single trusted partner to help them manage their shipments across the globe.   The European customs compliance market is characterized by a complex framework of member states, each with different regulations, languages, and systems. 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 performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

logistic data  perform a minimal mostly logistical – portion of the work that cannot be executed in parallel. For example a parallel query with a SUM() operation requires adding the individual sub-totals calculated by each parallel server. The QC is easily identified in the parallel execution in Figure 16 as 'PX COORDINATOR'. The process acting as the QC of a parallel SQL operation is the actual user session process itself. The parallel servers are taken from a pool of globally available parallel server processes and Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

logistic data  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

logistic data  Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk Read More

Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

logistic data  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , 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 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.

logistic data  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

Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

logistic data  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data Read More

2013 Big Data Opportunities Survey


While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results.

logistic data  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

logistic data  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frus Read More

Master Data Management: Extracting Value from Your Most Important Intangible Asset


In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.

logistic data  supply chain for making logistical decisions, executives might view it in dashboard reports, and a range of employees buying supplies may view the information using a purchasing portal. In general, the more ways your organization uses its master data, the more advantages there are to doing it well. THE ILLUSION OF MASTER DATA In a 2006 ASUG/SAP Best Practices survey of the Americas' SAP Users' Group, 93% of respondents experienced data management issues during their most recent projects. And data Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

logistic data  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More