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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.
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 forecast accuracy data

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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » forecast accuracy data

How to Improve the Accuracy of Your Forecasts


Increased competition, lower margins, and more customer demands mean that distributors have to provide better product availability and more services with fewer profit dollars. To accomplish this, estimates of future use of stocked items must be as accurate as possible. Discover how analyzing weighted averages, trend factors, and other formulas can help you accurately anticipate—and manage—future demand for your products.

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Enhancing Interaction Center ROI in Turbulent Economic Times: Beyond Traditional Data Sources for Workforce Automation


Interaction center managers must deliver greater value on smaller budgets. But you can’t simply cut costs and services, or your customers won’t remain satisfied. To better weather the economic storm, release the untapped potential of your interaction center with software that maximizes your workforce management capabilities. Learn how to go beyond traditional channel data for bigger contact center return on investment.

forecast accuracy data  a higher level of forecast accuracy for the workforce optimization solution. Interaction centers can perform well to the extent that their workforce optimization solutions are populated with accurate and complete data Certainly, other systems with precise and relevant customer interaction data - including enterprise resource planning systems, third-party software, and in-house development (such as a custom Web channel application) - can be considered as new sources for workforce optimization software. Read More

Order Forecast Collaboration: Benefits for the Entire Demand Chain


When raw materials providers, manufacturers, and retailers work together to calculate future order needs, they can all act on the best information available. Successful order forecast collaboration requires all members to share risks if forecasts vary, and to discuss issues as they arise. Accurate order forecasts drive sales increases, inventory decreases, and better decisions. With so many benefits across the entire demand chain, shouldn’t you look into order forecast collaboration with your partners?

forecast accuracy data  partners. Benefits of Order Forecast Accuracy Improving the accuracy of order forecasts and sharing the information throughout the demand chain increases sales, removes unnecessary inventory and increases planning time. Accurate order forecasts enable raw materials suppliers and manufacturers to better meet the needs of the end consumer. Production plans can reflect the anticipated order flow and fill rates will increase. When the retailer is able to procure the product needed to meet the end consumer Read More

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

forecast accuracy data  such information is to forecast when machines will break down. This hardly ever happens out of the blue: there are usually warning signs such as noise, vibration or heat. Capturing such data enables firms to act before a breakdown. Similarly, the use of predictive analytics on the basis of large data sets may transform health care. Dr Carolyn McGregor of the University of Ontario, working with IBM, conducts research to spot potentially fatal infections in premature babies. The system monitors subtle Read More

Case Study: Peerless Pump


Peerless Pump has been designing, engineering, and manufacturing pumps for more than 80 years. The company was basing component stock levels on historical data, as it did not have the ability to accurately forecast customer demand. But with forecasting and demand planning software that increased forecast accuracy, the company has nearly doubled its sales over the past four years, while keeping inventory levels constant.

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Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

forecast accuracy data   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.

forecast accuracy data  data management, data virtualization, proof of concept, POC, data center, provisioning, data security, copy data management, CDM Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

forecast accuracy data  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

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Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

forecast accuracy data  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

forecast accuracy data   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...

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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.

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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.

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Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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