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Software Functionality Revealed in Detail
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 application in data mining


Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

application in data mining  predefined range. In addition, application interfaces must provide constrained input fields in order to simplify data capture for the user, as well as enforce business rules. For instance, North American telephone numbers must be constrained to 10 digits, gender entered through a constrained user interface, and so on. Consistency across business systems . A unified approach to building organization-wide application systems is paramount to ensure that entities are described consistently across multiple

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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

Documents related to » application in data mining

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.

application in data mining  Management , Data Management Application , Performance Data Management . Contents   The data deluge Businesses, governments and society are only starting to tap its vast potential Data, data everywhere Information has gone from scarce to superabundant. That brings huge new benefits, says Kenneth Cukier—but also big headaches All too much Monstrous amounts of data A different game Information is transforming traditional businesses Show me New ways of visualising data Needle in a haystack The uses of Read More

Enterprise Application Provider May Deepen Market Impact


The worst is past for SoftBrands. However, the vendor must still deal with the problem of blending many formerly independent organizations together, while figuring out how best to leverage their different technological and industrial strengths.

application in data mining  scale by building common application components as commodities that can be deployed within the entire product portfolio is tempting and promising in the very long run. However, the flagship back-office product lines will likely remain on separate tracks for some time to come, owing to their quite disparate, and in some instances proprietary, technologies and user bases. The disparity in the technological foundation of the products is also a disadvantage in that it has likely multiplied development Read More

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. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

application in data mining  significantly broad reach and application. It can be applied in any situation where it is necessary to discover potential knowledge from vast amounts of data. Throughout this article, the word knowledge is used to refer to meaningful patterns derived through techniques in data mining that can stimulate an organization's goals (such as company revenue, Web site traffic, increase in crop yield, and improved health care). The field of data mining brings together techniques from statistics; machine learning Read More

Microsoft says OLE for Data Mining: Is it Bull?


Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

application in data mining  our CRM solutions and application products. OLE DB for Data Mining has been under vendor review and modification since its introduction last May at Tech*Ed '99 and now incorporates the Predictive Model Markup Language (PMML) standards from the Data Mining Group, an industry consortium that facilitates the creation of useful standards for the data mining community. PMML is an XML-based language that provides a quick and easy way for organizations to define and share data mining models between compliant 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.

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The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers


The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

application in data mining  Rack-oriented cooling will find application in situations where extreme densities, high granularity of deployment, or unstructured layout are the key drivers. Room-oriented cooling will remain an effective approach for low density applications and applications where change is infrequent. For most users with newer high density server technologies, row-oriented cooling will provide the best balance of high predictability, high power density, and adaptability, at the best overall TCO. About the Authors: 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.

application in data mining  data structures of each application and business unit have not been taken into account, as they were developed independently of one another. This means that data may be captured in different ways. For example, customer address information and name may be recorded in different formats within different business units. When data is pulled from one system to another, this particular customer information may not be synchronized. CDI and Data Integration CDI represents a consolidated view of customer data. Read More

PeopleSoft Delivers Oxymoron In 'Supply Chain in a Box'


Users would do well to take PeopleSoft’s claims with a vein of salt and maintain realistic expectations regarding the challenges they will face in integrating their supply chains.

application in data mining  term, but only proven application of its supply chain solutions will enable the vendor to contend on an equal footing with SAP, J.D. Edwards, and Oracle. User Recommendations We are sure that there are small organizations with simple supply chains for which the product might well run out of the box. But in general, users would do well to take PeopleSoft's claims with a vein of salt and maintain realistic expectations regarding the challenges they will face in integrating their supply chains. Don't buy Read More

Why Demandware Is Out in Front in the Digital Commerce Sector


Whether you call it e-commerce, e-retailing, digital commerce, or something else entirely, there is a veritable revolution going on in the internet commerce space. While consumers continue to seek and expect near-perfection in the digital commerce experience, vendors have been struggling to deliver what should be a seamless experience across channels. Demandware has been particularly assertive

application in data mining  Demandware Is Out in Front in the Digital Commerce Sector Whether you call it e-commerce, e-retailing, digital commerce, or something else entirely, there is a veritable revolution going on in the internet commerce space. While consumers continue to seek and expect near-perfection in the digital commerce experience, vendors have been struggling to deliver what should be a seamless experience across channels. Demandware has been particularly assertive about tackling this, developing from a SaaS newcomer 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.

application in data mining  Quality Control Every business application should be periodically assessed for data quality. It should be a quarterly effort to assure reliable processing and to maintain the value of business decisions made from data. Software tools such as Carleton's Passport , Prism Software Solutions' Warehouse Manager , QDB Solutions' Analyze , and Vality Technology's Integrity can be purchased, or homemade tools can be built to examine data fields and relationships. Data should be managed as a corporate asset that Read More

The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

application in data mining  Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. 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.

application in data mining  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

Oracle Database 11g for Data Warehousing and Business Intelligence


Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

application in data mining  data warehouse,data warehouse architecture,data warehouse concepts,data warehouse software,data warehousing analysis,data warehouse community,data warehouse automation,data warehousing olap Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

application in data mining  Center Projects: Project Management Data Center Projects: Project Management If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in Read More