Home
 > search for

Featured Documents related to » approaches to data mining



ad
Get Free BPM Software Comparisons

Find the best BPM software solution for your business!

Use the software selection tool employed by IT professionals in thousands of selection projects per year. FREE software comparisons based on your organization's unique needs—quickly and easily!
Register to access your free comparison reports and more!

Country:

 Security code
Already have a TEC account? Sign in here.

Documents related to » approaches to data mining


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

APPROACHES TO DATA MINING: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

APPROACHES TO DATA MINING: Achieving a Successful Data Migration Achieving a Successful Data Migration Source: Informatica Document Type: White Paper Description: The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.
10/27/2006 4:30:00 PM

Developing a Universal Approach to Cleansing Customer and Product Data
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your Acquisition In Relation To Cleansing Customer and Product Data. Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

APPROACHES TO DATA MINING: Developing a Universal Approach to Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data Source: SAP Document Type: White Paper Description: Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help
6/1/2009 5:10:00 PM

Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

APPROACHES TO DATA MINING: Data Quality: A Survival Guide for Marketing Data Quality: A Survival Guide for Marketing Source: SAP Document Type: White Paper Description: The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an
6/1/2009 5:02:00 PM

Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

APPROACHES TO DATA MINING: Data Quality Trends and Adoption Data Quality Trends and Adoption Source: SAP Document Type: White Paper Description: While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies
3/22/2011 9:46:00 AM

Retrofitting Data Centers
Most data centers were never designed to be data centers. Organizations are struggling to put a

APPROACHES TO DATA MINING: Retrofitting Data Centers Retrofitting Data Centers Source: SharkRack Document Type: White Paper Description: Most data centers were never designed to be data centers. Organizations are struggling to put a finger in the dam to keep up with the speed of change, but budgetary restrictions are such that there is only so much a data center team can do. Learn ways to maximize your data center budget, and find out how unexpected savings in some areas can help cover expenses in other areas. Retrofitting Data
1/21/2010 12:30:00 PM

Addressing the Complexities of Remote Data Protection
Expert solutions for adressing the complexities of remote data protection in your enterprise.Experience data recovery solutions. Free white paper! 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.

APPROACHES TO DATA MINING: Addressing the Complexities of Remote Data Protection Addressing the Complexities of Remote Data Protection Source: IBM Document Type: White Paper Description: 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
4/23/2010 1:16:00 PM

Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

APPROACHES TO DATA MINING: Logs: Data Warehouse Style Logs: Data Warehouse Style Source: LogLogic Document Type: White Paper Description: Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled
2/8/2008 1:14:00 PM

Data Conversion in an ERP Environment
Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives.

APPROACHES TO DATA MINING: Data Conversion in an ERP Environment Data Conversion in an ERP Environment Joseph J. Strub - October 21, 2002 Read Comments Introduction Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives. First, let me start out by saying that data conversion is not an art
10/21/2002

What’s the Big Deal with Big Data? » The TEC Blog
Cloudera to the radical approaches of NOSQL databases. Even traditional players in the analytics and business intelligence spaces are increasingly introducing features and functions to be able to interact and play with and analyze data coming from big data sources. The spectrum of big data products and applications covers many aspects of the space: storage and collection, security, and, of course, the ability to analyze huge amounts of information that are being collected both manually and automatically.

APPROACHES TO DATA MINING: big data, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
23-07-2013

How Healthy Is Your Data Center?
IT pros managing hospital data centers with mixed network environments, long lists of remote access protocols and applications, multiple user interfaces, and what often feels like way too many tools, are searching for remote access management solutions that are efficient, secure, and cost-effective to deploy. Learn which criteria to use as a benchmark when choosing a remote access solution for a health care environment.

APPROACHES TO DATA MINING: How Healthy Is Your Data Center? How Healthy Is Your Data Center? Source: Minicom Document Type: White Paper Description: IT pros managing hospital data centers with mixed network environments, long lists of remote access protocols and applications, multiple user interfaces, and what often feels like way too many tools, are searching for remote access management solutions that are efficient, secure, and cost-effective to deploy. Learn which criteria to use as a benchmark when choosing a remote access
10/10/2011 4:04:00 AM


Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others