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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 sys Read More
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » application in data mining


Identifying the ROI of a Software Application for SCM Part 3: Performing the Data Analysis
By using software tools that help you forecast and work together with others inside your organization, and even with your customers, the forecasts may become

application in data mining  ROI of a Software Application for SCM Executive Summary    The competitive environment for every industry grows increasingly intense. Fast, reasonably accurate information about the impact of a software investment decision grows more critical. Many decision-makers look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very real challenges make such perfect information elusive. Commonly, executives meet these challenges with resp Read More
Why Enterprise Application Search Is Crucial to Your ERP System
Enterprise applications become easier to use with the addition of powerful search capabilities. There is a distinction to be made, however, between stand-alone

application in data mining  who is searching an application in an area with which he or she is not intimately familiar. Because enterprise applications are so broad and cover so many different disciplines within a company, it is hard for any one person to have a thorough understanding of even a majority of an application's functionality. That is why application vendors are coming to market with various search solutions for use within their products. There are two distinct approaches to delivering this critical search function. In sh 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

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
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

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 inf Read More
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

application in data mining  also purchase a standalone application that accomplishes a similar function. Using Standalone Software If you work with lists acquired from an outside source, such as a vendor, or if you choose to process your address data in bulk, there is still more than one option available to you. The address checking components mentioned earlier can also be used to build in-house applications. This option requires that you have the necessary resources on hand to create, develop and maintain this application. Read More
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

application in data mining  creating a successful MDM application is the difficulty in integrating data from a variety of internal data sources, such as enterprise resource planning (ERP) , business intelligence (BI) and legacy systems, as well as external data from partners, suppliers, and/or syndicators. Fortunately, there is a solution that can help organizations overcome the complex and expensive challenges associated with MDM — a solution that can handle a variety of data quality issues including data deduplication; while Read More
Microsoft Throws in the Towel in the Instant Messaging Wars
REDMOND, Wash. (Bloomberg) - Microsoft Corp., the world's largest software maker, has stopped linking its instant messaging system with America Online Inc.'s

application in data mining  to download AOL's IM application from either site listed in the preceding paragraph. Instant Messaging is here, and here to stay. AOL will gain market share in IM users and in turn, will realize increased sales from their site (probability 90%) While Microsoft has stopped linking, this does not mean that it is permanently out of the growing IM market. In time, a standard will arise, and when it does, count on Microsoft being there (probability 95%). Read More
Application Outsourcing Services
BlueAlly provides a range of custom application development and management services (ADMS), which address both strategic outsourcing and capacity services

application in data mining  a range of custom application development and management services (ADMS), which address both strategic outsourcing and capacity services engagement models. ADMS helps its clients meet fast-changing business requirements and challenges, without increasing their budgets. BlueAlly provides ADMS across various platforms and technologies, including integration of multiple technology environments. BlueAlly's specific application development services include full life-cycle application development, a web-based Read More
Manufacturing Strategies that Win: IT’s New Role in the Cloud
With acceptance of cloud-based strategies growing among manufacturers of all types and sizes, it’s easier than ever to make the business case for transitioning

application in data mining  Strategies that Win: IT’s New Role in the Cloud With acceptance of cloud-based strategies growing among manufacturers of all types and sizes, it’s easier than ever to make the business case for transitioning to the cloud. But beyond the cost savings and responsiveness of cloud solutions, this transition also provides new opportunities for the IT department to grow into a key role as strategic business advisor. This report includes advice on how IT can help manufacturers realize the full Read More
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

application in data mining  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

application in data mining  data governance,data governance best practices,data governance model,data governance institute,what is data governance,data governance framework,data governance roles and responsibilities,data governance definition,data governance strategy,data governance software,data governance conference 2010,data governance maturity model,master data governance,data governance tools,data governance charter Read More
Best-in-class Strategies for Selecting an ERP Solution in 2013
Enterprise resource planning (ERP) represents a serious investment for any organization and is vital to future success. Top performing organizations approach

application in data mining  in-class Strategies for Selecting an ERP Solution in 2013 Enterprise resource planning (ERP) represents a serious investment for any organization and is vital to future success. Top performing organizations approach the selection process with a clear plan and come away with solutions that implement smoothly and help drive business immediately. This report explores the strategies best-in-class organizations employ to find the right ERP fit that will give them the tools they need to thrive. Read More
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

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
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

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

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