Documents » business intelligence transportation and warehousing analysing.
Abstract: The Global
Transportation Organization, a division of Johnson & Johnson, successfully dealt with the global
transportation crunch. Factors contributing to its success included its approach to relationships with carriers, its push for innovation, and its use of technology.
PubDate: 2/23/2006
Abstract: Manufacturers already apply transportation management systems (TMSs) to outbound shipping, but they often overlook the money they could save by using a TMS to control inbound shipping costs as well. Find out how improved inbound transportation practices can help you predict true total delivered costs, get visibility on inbound shipments, enforce routing guides, optimize freight, and minimize accessorial charges.
Abstract: Innovative companies improve efficiencies by integrating logistics and transportation functions with critical operating processes. By factoring transportation constraints into the planning and execution of warehousing, production and fulfillment, these companies are outperforming their competition.
Abstract: There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
Abstract: Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.
Abstract: The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and achieving business objectives.
Abstract: Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.
Abstract: Warehousing processes are critical for the success of a distribution business. These processes are highly visible to your customers, and have a direct impact on their opinion of your company. If you cannot get the goods to your customers in the most efficient way, you risk losing their business. Your warehousing and logistics operations must translate into reliability and service.
Abstract: With manufacturing now a global industry, moving product throughout complex supply chains remains a challenge for most organizations. But transportation management systems are spearheading the way to help solve the dilemmas of today’s manufacturers, offering functionality that eases the transfer of goods from place to place.
Abstract: Logistics.com’s transportation capabilities give Commerce One ammunition against i2 Technologies.
Abstract: Globalization, rising costs, and high customer expectations create serious challenges in supply chain management (SCM). Given these factors, transportation management now plays a key, strategic role in driving supply chain value. Learn how moving goods quickly and predictably through the global supply chain can help you achieve consistency and increase visibility—while supporting best practices across the enterprise.
Abstract: Among its promising initiatives, IBS offers flexible rescheduling tools that integrate with existing manufacturing resource planning systems. Its warehousing solution also promises better use of space, and automates reception put-away, etc. However, the vendor still must navigate through some rough competitive terrain.
Abstract: An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.
Abstract: During September, two more data warehousing vendors announced product suites that they claim offer broader integration between different data warehousing technologies. BI vendor Cognos announced
Abstract: Metadata (“data about data”) is essential for data warehousing. Metadata standards allow different products to interact. Without standards, different vendors’ tools cannot work together seamlessly and the customer’s warehousing effort is greatly complicated.
Abstract: If you’re looking for a transportation management system (TMS) that will automate all aspects of transportation execution from planning to reporting, consider the benefits of BestShippers TMS. Users have reported new opportunities to ship freight more efficiently and the ability to reduce freight spending by more than 13 percent. Learn how it can help you optimize loads and maximize control over day-to-day decisions.
Abstract: To keep up with rising transportation-related costs, an industrial manufacturer realized it needed an automated transportation management system (TMS). Without a structured process to determine which carrier needed freight enders, management knew it was not always finding the right carrier and that often it was paying far more that it should. Learn about the TMS solution it used to gain real-time visibility and more.
Abstract: With business intelligence (BI), decision-makers can feel the organization’s pulse, evaluate the performance of key business functions, and take action based on their analysis. However, many organizations invest time, money, and resources in BI processes, only to waste their newfound capabilities. Why? And, more importantly, how do you ensure that your BI solution won’t be one of them?
Abstract: Today’s knowledge workers spend more time sorting though a huge amount of information and less time adding value to it. Enterprises have responded by moving to a self-service business intelligence (BI) model. But that often conflicts with efforts to control, secure, centralize, and optimize their BI environments. Learn how you can get the right data now, while maintaining information quality and operational security.