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Documents related to » logistics data flow


A Green Logistics Terminal
Up to 75 percent of a company’s carbon footprint comes from transport and logistics functions, in the context of goods storage and distribution. Today, logistics companies are going green not just out of goodwill or compliance requirements, but also because savings in carbon emissions from green initiatives directly translate into cost savings. Consequently, emissions management and reporting are important. Learn more.

LOGISTICS DATA FLOW: A Green Logistics Terminal A Green Logistics Terminal Source: HCL Technologies Document Type: White Paper Description: Up to 75 percent of a company’s carbon footprint comes from transport and logistics functions, in the context of goods storage and distribution. Today, logistics companies are going green not just out of goodwill or compliance requirements, but also because savings in carbon emissions from green initiatives directly translate into cost savings. Consequently, emissions management and
9/29/2009 7:48:00 AM

Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

LOGISTICS DATA FLOW: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success Factors to Cleansing Data. Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

LOGISTICS DATA FLOW: and reporting Manufacturing and logistics Administration, e.g keep track of employees and customers Business processes, e.g. using customer address lists for direct mailings, using unique item identification for processing orders Analysis and interpretation to support decision making and generate new information and knowledge Why is this an issue now when data has been around since the beginning of the company? Industry Changes Increased need for competitive advantage Regulatory compliance (Homeland
1/14/2006 9:29:00 AM

Case Study: Phoenix Logistics, Inc.
In previous years, Arizona (US)-based aerospace manufacturer Phoenix Logistics, Inc. managed its low-volume, batch-manufacturing process with non-integrated manual and paper-based systems. Find out how implementing a new software-as-a-service (SaaS) enterprise resource planning (ERP) solution helped the company overcome significant problems with ordering, regulatory compliance, and document management.

LOGISTICS DATA FLOW: Case Study: Phoenix Logistics, Inc. Case Study: Phoenix Logistics, Inc. Source: Plex Systems Document Type: Case Study Description: In previous years, Arizona (US)-based aerospace manufacturer Phoenix Logistics, Inc. managed its low-volume, batch-manufacturing process with non-integrated manual and paper-based systems. Find out how implementing a new software-as-a-service (SaaS) enterprise resource planning (ERP) solution helped the company overcome significant problems with ordering, regulatory
2/24/2010 12:44:00 PM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

LOGISTICS DATA FLOW: Achieving a Successful Data Migration Achieving a Successful Data Migration Source: Informatica Document Type: White Paper Description: The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.
10/27/2006 4:30:00 PM

Best Practices: Inbound Logistics - Driving Costs Out of the Supply Chain
This paper discusses best practices observed from the most successful inbound logistics programs of manufacturing organizations in the automotive industry and among consumer packaged goods manufacturers. It also discusses the role of third-party logistics (3PL) service providers in terms of transportation and warehousing.

LOGISTICS DATA FLOW: Best Practices: Inbound Logistics - Driving Costs Out of the Supply Chain Best Practices: Inbound Logistics - Driving Costs Out of the Supply Chain Source: Infosys Technologies Document Type: White Paper Description: This paper discusses best practices observed from the most successful inbound logistics programs of manufacturing organizations in the automotive industry and among consumer packaged goods manufacturers. It also discusses the role of third-party logistics (3PL) service providers in terms of
10/21/2005 1:34:00 PM

Siemens’ JT Data Format Gets a Nod from ISO » The TEC Blog
Selection (255) Supply Chain Logistics (241) Talent Management Matters (74) TechnoBabble (41) Up Close and Personal (59) White Paper Review (23) Meta Login --> More TEC Blogs Foro Empresarial TEC Resources Articles Decision Support Evaluation Centers RFP Templates Software Evaluation Reports White Papers Archives October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 October 2012 September 2012 August 2012 July

LOGISTICS DATA FLOW: 3d visualization, CAD, JT ISO standard, plm, Siemens JT, Siemens JT data format, Siemens PLM Software, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
29-01-2013

New Data Protection Strategies
One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining flat budgets. Find out how.

LOGISTICS DATA FLOW: New Data Protection Strategies New Data Protection Strategies Source: IBM Document Type: White Paper Description: One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining
4/23/2010 5:47:00 PM

CMOs Thriving in the Age of Big Data » The TEC Blog
Selection (255) Supply Chain Logistics (241) Talent Management Matters (74) TechnoBabble (41) Up Close and Personal (59) White Paper Review (23) Meta Login --> More TEC Blogs Foro Empresarial TEC Resources Articles Decision Support Evaluation Centers RFP Templates Software Evaluation Reports White Papers Archives October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 October 2012 September 2012 August 2012 July

LOGISTICS DATA FLOW: chief marketing officer, CRM software selection, customer relationship management, EMM, enterprise marketing management, marketing analytics, marketing data, marketing software requirements, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
22-02-2013

Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

LOGISTICS DATA FLOW: Customer Data Integration: A Primer Customer Data Integration: A Primer Lyndsay Wise - September 11, 2009 Read Comments Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization s customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service.
9/11/2009

About Big Data
TEC analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions. There may not be a consensus with respect to just how big

LOGISTICS DATA FLOW: About Big Data About Big Data Jorge García - November 18, 2011 Read Comments There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement
11/18/2011 2:08:00 PM


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