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The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

statistical and hypothesis testing  families of products for statistical analysis and data mining. The PASW Modeler provides advanced analytical functions and visualization. It promises to integrate seamlessly with existing IT infrastructure, and uses multithreading, clustering, and embedded algorithms for high performance and scalability. In addition to a wide range of mining algorithms, SPSS offers Web mining and text analytics as add-on products. Angoss Software offers an on-demand customer analytics solution focused on addressing sales Read More

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Documents related to » statistical and hypothesis testing


How to Outsell the Competition: The Benchmarking Edge for Successful Sales Execution
Benchmarking is a process where companies compare their performance over time against their competition. In doing so, they can identify where their strengths

statistical and hypothesis testing  nonbiased manner, it supports statistical results with sufficiently high precision. The data should reflect both good and bad findings, should be presented in a fair and objective manner and should not use inappropriate summary measures that distort the facts. Therefore, the key to Step 2 is having a statistically valid, non-biased sample to compare your organization in relation to peers. Living in the information age, a monumental storehouse data is available. There are several ways to find a Read More
Using Predictive Analytics within Business Intelligence: A Primer
What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

statistical and hypothesis testing  data is collected, a statistical model is formulated, predictions are made, and the model is validated (or revised) as additional data becomes available. One of the main differences between data mining and predictive analytics is that data mining can be a fully automated process, whereas predictive analytics requires an analyst to identify the predictors and apply them to the defined models. A decision tree is a variable within predictive analytics that allows the user to visualize the mapping of Read More
Predictive Analytics; the Future of Business Intelligence
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive

statistical and hypothesis testing  or statistician, who lacks statistical and graphical knowledge. New variables can be derived in the spreadsheet with a rich set of macro functions; however, the solution lacks data exploration tools and data preparation functions. Angoss Software Corporation Another leading provider of data mining and predictive analytics tools is Angoss Software Corporation . Its products provide information on customer behavior and marketing initiatives to help in the development of business strategies. Main products Read More
The Tolly Group
The Tolly Group provides information technology testing, evaluation, and consulting. The company publishes content that includes articles, white papers, and

statistical and hypothesis testing  Tolly Group The Tolly Group provides information technology testing, evaluation, and consulting. The company publishes content that includes articles, white papers, and opinion pieces. Read More
Meeting Strategic Challenges through Effective Software Testing
Analysis of the tasks and time in information technology (IT) projects invariably reveals the presence of a familiar recurring burden: testing—often still

statistical and hypothesis testing  Strategic Challenges through Effective Software Testing Analysis of the tasks and time in information technology (IT) projects invariably reveals the presence of a familiar recurring burden: testing—often still performed manually and inefficiently, yet accounting for a substantial proportion of the budget. Can some simple and effective focused measures have a dramatic and positive impact on the success of key projects? That depends on your approach. Read More
10 Key Considerations When Outsourcing QA and Testing Services
With the increase in global IT outsourcing agreements, many companies are looking at outsourcing quality assurance (QA) and testing to ensure high-quality

statistical and hypothesis testing  Key Considerations When Outsourcing QA and Testing Services With the increase in global IT outsourcing agreements, many companies are looking at outsourcing quality assurance (QA) and testing to ensure high-quality deliverables and gain competitive advantages. These companies need to select an outsourcing partner that has local and offshore test centers—and a strong on-site consultancy presence. Find out about these and other issues that will help you in the short and long term. Read More
How to Develop, Maintain, and Support a Quality Management and Development Process
The task of defining test plans, acceptance criteria, and testing deliverables and processes for any software development effort can raise many challenges

statistical and hypothesis testing  to Develop, Maintain, and Support a Quality Management and Development Process The task of defining test plans, acceptance criteria, and testing deliverables and processes for any software development effort can raise many challenges. Choosing a tool to help support these practices not only can help to alleviate the burden placed on those involved, but it can add efficiency, organization, and the foundation for success. Find out how one company benefited from implementing a quality initiative. Read More
WebLOAD
WebLOAD is a testing and analysis tool that combines performance, scalability, and integrity as a single process for the verification of web applications

statistical and hypothesis testing  WebLOAD is a testing and analysis tool that combines performance, scalability, and integrity as a single process for the verification of web applications. WebLOAD simulates user behavior and predicts capacity requirements. It scales to infinite load making it possible to test large loads and report bottlenecks, constraints, and weak points within an application. WebLOAD includes a visual environment (VAAT) for creating test scripts that is powerful and easy-to-use. For novice users, the application Read More
10 Steps to Better Software Test Automation
Maybe you’re considering software test tools for the first time. Or maybe you have experience but think your existing software test automation process needs

statistical and hypothesis testing  Steps to Better Software Test Automation 10 Steps to Better Software Test Automation If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. The objectives of Software Test Automation are to speed up time to market and reduce the overall cost of development. But most projects (Over 90%) fail to achieve the expected results. Source : qaSignature Resources Related to Better Software Test Automation : Test Automation (Wikipedia) 10 Steps to Read More
The ITIL Version 3 Prescription for Transitioning Services
IT service transition is difficult to manage. But with the updated guidance found in ITIL Version 3, IT organizations can plan for a more successful transition,

statistical and hypothesis testing  ITIL Version 3 Prescription for Transitioning Services No matter the size of the organization, the industry, or the market sector, and no matter how long it has been in existence or how dependent it may or may not be on technology, every organization struggles with change. Projects run over time and over budget. New elements seem to break what was working before. Rollouts fail part way through, with no clear way to get back to the starting point. And all the while, we are hemorrhaging time and money, Read More
Test Language - Introduction to Keyword-Driven Testing
Test language is a dictionary of keywords that helps testers communicate with one another and with other subject-matter experts. The keywords replace common

statistical and hypothesis testing  Language - Introduction to Keyword-Driven Testing Test language is a dictionary of keywords that helps testers communicate with one another and with other subject-matter experts. The keywords replace common English as the testing basis and create an approach called keyword-driven testing (KDT). KDT can be used to improve communication between testers, avoid inconsistency in test documents, and serve as the infrastructure for test automation. Download this white paper to learn more. Read More
Ideabytes Inc
Model Based Testing (MBT) Services provided by Ideabytes @ automates the creation of test cases, at a guaranteed 50% or better, of current test creation time

statistical and hypothesis testing  Inc Model Based Testing (MBT) Services provided by Ideabytes – automates the creation of test cases, at a guaranteed 50% or better, of current test creation time & costs. Services are based on Conformiq Designer, where the SUT (System Under Test) is modeled, connected to the existing test harness, and test cases generated in any scripting language(s) at the touch of a button. In addition to being more efficient, Conformiq Designer provides increased coverage, automated documentation as well as Read More
Product Lifecycle Management: Expediting Product Innovation
The highly competitive product manufacturing market makes true product lifecycle management (PLM) inevitable. PLM helps companies map product requirements to

statistical and hypothesis testing  Lifecycle Management: Expediting Product Innovation  Originally Posted - October 20, 2006 Increasing the Visibility of Requirements For a design team, a loosely stated requirement is often misleading. That's why it is important to capture requirements in a structured manner—in a requirements database maintained by requirements managers—before they are passed along to the product development teams. The role of the requirements manager may not exist in the current scenario, or it may have been 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

statistical and hypothesis testing  Guide to Software Test Tools Originally published – July 16, 2004 Overview Whether you are buying or making software, test tools help you get the most from your investment. A useful test tool gives you far more than efficiency; it will help you avoid trouble, provide vital information, and can enable your organization to take new opportunities with greater agility and strength. Testing a system well is harder than building it. In the face of new risks introduced by the ever-increasing complexity of Read More

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