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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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 generate test data


SaaS-based Test Management
Organizations must keep up with technology and adapt their quality assurance (QA) processes for continued success. Test management isn’t optional. The proper

generate test data  spending valuable time to generate various reports. Qmetry supports installed version as well as hosted instance. The hosted instance enables easy access from multiple locations, meanwhile eliminating installation & support dilemmas as well as backup of test assets. For larger projects an installed version is available. The product utilizes a dashboard which has real-time updates and quality metrics, keeping everyone on the team up to date with the project. In addition, Qmetry offers version control,

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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

Software Test Tools

Tools exist to support software testing at all stages of a project. Some vendors offer an integrated suite that will support testing and development throughout a project's life, from gathering requirements to supporting the live system. Some vendors concentrate on a single part of that life cycle. The software test tools knowledge base provides functional criteria you might expect from a testing tool, the infrastructure that supports the tool, and an idea of the market position of the vendor.  

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Documents related to » generate test data

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.

generate test data  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 Security, etc.) - Raised visibility Sarbanes-Oxley HIPPA ER/ES Global Data Sharing Requirements Electronic Commerce Spreadsheets versus master data repository Supply chain collaboration & optimization - And the list goes on... Simply put data impacts: Ability to Read More

Progress Offers a Test Drive


Progress Software offers customers the opportunity to test drive applications via the Internet.

generate test data  application rental market will generate in excess of $4 billion in revenue by 2003. Progress Software anticipates bringing its 2,000+ ISV partners and their more than 5,000 Progress-based applications to this new distribution channel. The AppsAlive! offering is an attractive sales tool. Other vendors have initiated test drives such as SAP's Advanced Hosting with its mySAP.com announcement in January 1999. Allowing users to test applications with their own data is a strong sales feature. This coupled Read More

BPM Weaves Data And Processes Together For Real-time Revenues


Linking data to process is the realm of business process management (BPM). BPM's focus on process dramatically reduces the amount of data that needs to be moved, and thereby reduces both the initial cost and ongoing maintenance cost of application integration.

generate test data  information from data to generate actions, specifically to initiate dialogs with prospects and customers, and to address the growing sophistication of the customer relationship. Linking data to process is the realm of business process management (BPM). BPM technology allows companies to transform potentially damaging customer interactions into revenue opportunities by coordinating the data and actions of disparate IT systems. Coordinating systems helps companies respond in real time to key business Read More

A Guide to Software Test Tools


Testing a system well is harder than building it. In the face of new risks introduced by the ever-increasing complexity of software and hardware, test tools may be your only practical way to be confident that you've got just what you paid for. From gathering the initial requirements to supporting the system after it has been deployed, test tools are available to support all phases of a project. This article looks at the ways that test tools can be used to design, code, and (of course) test a system.

generate test data  analysis. Test generation tools generate tests within parameters to fit a model of the system under test. While they are most effectively used when integrated with a test automation tool and test management tool, they can be useful analytical tools for manual testing. Most test teams use some sort of a defect tracker to hold a centralized list of logged problems. The tools allow problems to be classified and prioritized, and to be assigned to individuals as they progress from detection to resolution. Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

generate test data  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

generate test data  data warehouse model,data warehouse software,enterprise data warehouse,olap database,olap tools,data warehouse concepts,data warehouse schema,data warehouse system,data warehouse tools,data warehouse training,olap data warehouse,building a data warehouse,building the data warehouse,business intelligence olap,data warehouse data mart Read More

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.

generate test data  electronic information that they generate. Ignoring the protection and recovery needs of this remotely stored data is simply not an option. As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing—the industry average is now 31 percent. However, many companies may not be adequately protecting these assets. This white paper reviews the factors that can make data protection and recovery in remote offices a complicated problem and describes Read More

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."

generate test data  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More

Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

generate test data  business intelligence architecture,business intelligence data warehouse,change data capture,customer data,customer data integration,data cleaning,data cleaning software,data cleansing,data cleansing data,data cleansing definition,data cleansing service,data cleansing services,data cleansing software,data cleansing solution,data cleansing solutions Read More

Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

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The Necessity of Data Warehousing


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.

generate test data  pre-canned reports could be generated on a scheduled basis, ad-hoc real-time querying was virtually impossible. To resolve these issues, data warehousing was created. The theory was to create a database infrastructure that was always on-line, contained all the information from the OLTP systems, including historical data, but structured in such a way that it was fast and efficient for querying. The most common of these schemas (logical and physical database designs) is known as the star schema. A star 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.

generate test data  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, data center cooling module, data center power and cooling infrastructure, traditional data center, containerized data center, data center TCO Read More

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.

generate test data  an organization's performance, to generate reports, to provide analytics, and so forth. Not all data integration is equal when it comes to CDI. Different forms of data integration are used within different industries and for diverse initiatives. For example, when implementing a business intelligence (BI) solution, data mapping, data cleansing, and hourly data loads are likely the most important factors to consider. Also, different vendors within the data integration space may specialize in sub-categories 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.

generate test data   Read More