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Software Functionality Revealed in Detail
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 expensive data warehouse

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Warehouse Management Systems (WMS)

A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. 

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Documents related to » expensive data warehouse

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.

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Top Four Tips to Rapidly Implement and Generate ROI from a Warehouse Management System


Congratulations! Your business case was approved and now you’re starting to consider implementing a warehouse management system (WMS). While you probably overcame some challenges, the next steps will be even more difficult if you are not adequately prepared. Learn four tips that will help ensure your WMS implementation moves rapidly toward a successful “go-live”—and toward a quick return on investment (ROI).

expensive data warehouse  in person (which was expensive and took them away from their daily activities), most vendors now offer convenient online training. 3. Create a Strong Issue Resolution Process Crossing your fingers and hoping for minimal issues is probably not the most effective strategy. Instead, put a procedure in place to quickly detail the action plan for issue resolution. When a problem arises, key items that need to be determined are: Owner – who will drive it to closure? Date needed – based on project plan Read More

Is Your Warehouse Ready for the Upswing?


Supply chain management is a long-term strategy. The centerpiece for supply chain execution—the warehouse management system (WMS)—is an excellent place to start preparing your business for the return of the bull market. Discover how a well-tuned WMS can help your business reduce labor costs, improve inventory management, attain more accurate shipments, improve space allocation, and increase customer satisfaction.

expensive data warehouse  your WMS becoming increasingly expensive? Can your WMS vendor be relied upon to support your growth over the next five years? Businesses choose to replace their existing WMS for a variety of reasons. But at the most elemental level, the question is whether your current system strengthens or hinders your ability to execute business strategies necessary to building competitive advantage, responding to constant change, and growing your business. If it doesn''t, consider replacing your WMS with an adaptable, f Read More

ITT’s New “Global Vault” Achieves Vision of a Single Data Source


When it comes to product lifecycle management (PLM), unreachable information is as expensive as excess inventory lying in a warehouse. That’s why ITT Industries, a multibillion-dollar manufacturing enterprise, needed desperately to reach its goal of a single source of data for everyone, everywhere. Unfortunately, the transition would require overcoming serious resistance and cultural issues. Find out how they did it.

expensive data warehouse  unreachable information is as expensive as excess inventory lying in a warehouse. That’s why ITT Industries, a multibillion-dollar manufacturing enterprise, needed desperately to reach its goal of a single source of data for everyone, everywhere. Unfortunately, the transition would require overcoming serious resistance and cultural issues. Find out how they did it. Read More

Beware of Legacy Data - It Can Be Lethal


Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

expensive data warehouse  the new and often expensive application. Recently I worked for two organizations, both in the process of replacing their legacy applications with ERP systems. Both did not give enough attention to the associated legacy data. Both experienced severe problems in using the functionality offered by the new application. The legacy data turn out to be real functionality killers. Legacy Data One of the companies I worked for was using mainframe based applications that dated back from the seventies. So, who would Read More

The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

expensive data warehouse  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system Read More

The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

expensive data warehouse  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More

Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

expensive data warehouse  of design is extremely expensive both from a capital cost and operational cost perspective. A much more cost-effective design is to provide redundant power and cooling only where and when required. High-density zones allow for this targeted redundancy / availability approach by including redundant power and cooling modules when appropriate. Note that the core infrastructure such as chilled water piping and electrical service entrance must be designed and built on day one with the highest redundancy level 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 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.

expensive data warehouse  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

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

expensive data warehouse  Center Projects: Project Management Data Center Projects: Project Management If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today''s always on, always available world where businesses can''t stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in Read More

Warehouse Management Systems: Pie in the Sky or Floating Bakery? Part One: Myths of the Warehouse Management Systems and Implementation


When searching for a warehouse management system (WMS), a number of myths surface. "Huge staff reductions", "quick and easy implementation", and "fast and big" returns on investment are common promises. These combined with the enticing "bells and whistles" of a system can ultimately turn an eager customer into a patient suffering from confusion or at the very least disorientation. Knowing the stories behind the myths and determining what your warehouse needs are can lead to a profitable investment.

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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.

expensive data warehouse  out applications that are expensive to maintain, or reduce the TCO of their IT environment by migrating redundant or non-critical applications to a corporate standard. Most application migrations occur as part of a new application implementation, such as when an ERP or CRM application is implemented and existing legacy applications are migrated to the new system. Two other types of application migrations are application upgrade, in which the target and source application are different versions of the Read More

Top 10 Evaluation Criteria for Copy Data Management & Data Virtualization


Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC.

expensive data warehouse  10 Evaluation Criteria for Copy Data Management & Data Virtualization Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC. 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.

expensive data warehouse  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

Guidelines for Specification of Data Center Power Density


Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT equipment. Discover an improved method that can help assure compatibility with anticipated high-density loads, provide unambiguous instruction for design and installation of power and cooling equipment, prevent oversizing, and maximize electrical efficiency.

expensive data warehouse  with deferred installation of expensive power and cooling infrastructure such as UPS systems, PDUs, racks, power distribution within the row, air conditioners, and air distribution equipment. The specific density to be supported within a zone or row would be a decision that would be deferred to the time of deployment, and the power and cooling infrastructure would be deployed on a row by row basis. The APC InfraStruXure system is one practical example of such architecture. This discussion leads to Read More