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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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 evaluation data analytics


An Architect's Evaluation of Form and Function—the Dimensional Data Model
A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect

evaluation data analytics  A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with.

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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.

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

Core PLM for Process Industries

The foundation of product lifecycle management (PLM) for the process (or recipe-based) manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including management of material specifications, recipes, formulas, production processes, design tools, document management, and collaboration. 

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Documents related to » evaluation data analytics

ROI Evaluation Report: IBM Cognos Software


According to Nucleus Research, IBM Cognos business intelligence (BI) software can help companies make better use of their data when performing tasks related to reporting, financial statements, budgeting, and analysis. Learn about some of the barriers to better data use, as well as the key features and functions of this BI solution—and how you can improve data access and analysis, employee performance, and productivity.

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In-Memory Analytics: A Multi-Dimensional Study


The primary bottleneck to high-performance multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk storage to random access memory (RAM). With crashing RAM prices and 64-bit addressing, in-memory architecture provides new and innovative solutions for online analytical processing (OLAP). This article looks at why and how in-memory technology transforms analytic applications for BI.

evaluation data analytics  specific functional features visit our Evaluation Center today. Read More

Supply Chain Network Visibility and Analytics


The complexity of the global economy is a powerful motivation for companies to look for new ways to increase efficiency and productivity. That’s why companies must have the ability to transform information into meaningful, accurate insights. Most importantly, these insights must be systematically interconnected, to align business strategy with tactics through a seamless integration of analytical, transactional, and collaborative processes.

evaluation data analytics  between planning, execution, and evaluation. They must integrate the ability to adjust plans on the fly based on feedback and information received in real time. To accomplish this, companies need to implement integrated software that supports major business processes such as monitoring supply chain events, notifying the right person in case of a delay or critical event, simulating activities, controlling processes, and measuring supply chain activities to adapt business operations and make them more Read More

Human Capital Analytics: The Metrics That Matter


Most organizations are capturing thousands of pieces of data about their employees on a daily basis, but it can be hard to focus on the data that really matters. In this article, TEC research analyst Sherry Fox explores the concept of human capital analytics and pinpoints five key steps for organizations to take to effectively analyze human resources (HR) data and better manage their workforce.

evaluation data analytics  and continuous assembly and evaluation of data in an organization that establishes who is doing what and how well. It is about linking measurement and management to not just monitor behavior, but motivate it. It is a way to gain visibility into the organization’s largest single expense—its employees—and to efficiently allocate resources on a global scale (when necessary). It is for developing a streamlined, inspired workforce working to its fullest potential, so that a company doesn’t just Read More

Host Analytics, Inc.


Host Analytics was founded in 2000 with the mission to help businesses make better operational and financial decisions via the understanding of their past and present financial performance, along with what-if scenarios for the future. Host Analytics was the first corporate performance management vendor to launch a software-as-a-service product.

evaluation data analytics  balanced scorecard,budgeting and forecasting,budgeting and planning,budgeting software,business performance management,dashboard software,financial consolidation,financial reporting software,reporting and analysis software,revenue forecasting Read More

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.

evaluation data analytics  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : 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.

evaluation data analytics  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 Read More

Making the Business Case for Analytics in the Mid-Market


To build a strong business case for investing in analytics, mid-size companies need to overcome common barriers to adoption, and focus on value propositions that align with revenue growth and cost containment. The use cases captured in this paper demonstrate the value that organizations have realized in sales, risk management, and corporate reporting through analytics.

evaluation data analytics  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, data and analytics, predictive software, analytics solutions, analytics for mid-market, IBM Business Analytics Read More

A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

evaluation data analytics  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More

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.

evaluation data analytics  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 Read More

Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

evaluation data analytics  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More

Business Analytics: Nucleus Research Note—How Analytics Makes Midsize Companies More Profitable


When senior leaders of small and midsize companies invest in analytics tools, they can improve operating results by enabling managers to make fact-based, data-driven decisions. Learn how in this report from Nucleus Research.

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Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

evaluation data analytics  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

evaluation data analytics  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More