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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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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 gatheri...
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Documents related to » statistical and hypothesis testing


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
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
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
Segue Software is First to Provide the Capability to Load Test Wireless Applications
The product (SilkPerformer) has been aimed at the e-business market, but with the addition of load testing for wireless devices, we believe Segue Software has

statistical and hypothesis testing  Software is First to Provide the Capability to Load Test Wireless Applications Event Summary LEXINGTON, Mass.--(BUSINESS WIRE)--March 28, 2000-- Segue Software, Inc., (NASDAQ: SEGU - news), the leader in e-business reliability solutions, announced that the current version of its flagship product, SilkPerformer, supports scalability testing of Wireless Applications Protocol (WAP) enabled applications. Prior to a wireless application's deployment, SilkPerformer tests the technical viability of critical Read More
Employment Screening Benchmarking Report: 2011 Edition
As background screening and drug testing have become commonplace, many employers have shifted the focus toward making their screening programs and practices

statistical and hypothesis testing  Screening Benchmarking Report: 2011 Edition As background screening and drug testing have become commonplace, many employers have shifted the focus toward making their screening programs and practices better—more efficient, more accurate, more flexible, faster and more appealing to both hiring professionals and applicants. The HireRight 2011 Employment Screening Benchmarking Report points to an array of best practices that can help organizations achieve these goals. Read More
VoLTE AND SRVCC Testing
Voice functionality and quality are critical factors in ensuring a good customer experience of mobile services. With the main investments and focus set on data

statistical and hypothesis testing  AND SRVCC Testing Voice functionality and quality are critical factors in ensuring a good customer experience of mobile services. With the main investments and focus set on data services, many mobile network operators are aiming to secure voice migration to 4G. To ensure a successful migration process to 4G, it is important to use the right tools, enabling operators to spend the time and resources needed for the VoLTE and SRVCC implementation more effectively, and therefore increasing profitability Read More
Case Study: PearlStreet Ltd.
After a number of acquisitions, it was vital that testing, inspection, and asset care provider PearlStreet have a solution to integrate each business and

statistical and hypothesis testing  Study: PearlStreet Ltd. After a number of acquisitions, it was vital that testing, inspection, and asset care provider PearlStreet have a solution to integrate each business and consolidate key company and financial information in one system. PearlStreet deployed a range of PRONTO-Xi modules, including project costing. Now, the company has greater operations visibility, more effective reporting, and the ability to analyze business performance. Read More
Future-forward to 802.11n: The Testing Challenge in Wireless Networking
The crucial interoperability of wireless network devices built around the 802.11 standard is threatened by the advent of faster technologies. The Institute of

statistical and hypothesis testing  forward to 802.11n: The Testing Challenge in Wireless Networking The crucial interoperability of wireless network devices built around the 802.11 standard is threatened by the advent of faster technologies. The Institute of Electrical and Electronics Engineers (IEEE) is trying to cope by developing the 802.11n standard—but it’s still in draft form. Meanwhile, how can manufacturers cope with the confusion surrounding the future of 802.11? Get an outline of the situation. 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
Application Portfolio Management: Are You Getting the Most from your Enterprise Software?
Information technology organizations are faced with the challenge of managing a host of diverse enterprise applications, and the need to evaluate application

statistical and hypothesis testing  Portfolio Management: Are You Getting the Most from your Enterprise Software? Introduction Today's information technology (IT) organizations are faced with the challenge of managing a host of commercial off-the-shelf (COTS) applications, legacy systems, and in-house custom applications. The reality of many of today's IT departments is complex, as they have the immense task of maintaining, managing, integrating, and supporting these business-critical applications. Tracking upgrades and providing Read More
How Wipro Transformed BT’s Release-service Introduction, Testing, and Deployment Activities
This IDC Buyer Case Study examines BT's successful project to reduce costs and raise efficiency and quality in its release-service introduction, testing, and

statistical and hypothesis testing  Wipro Transformed BT’s Release-service Introduction, Testing, and Deployment Activities This IDC Buyer Case Study examines BT's successful project to reduce costs and raise efficiency and quality in its release-service introduction, testing, and deployment activities, using offshore-based partner Wipro. It looks at the challenges, risks, and outcomes of the project, and draws some lessons for organizations considering similar challenges. Read More

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