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Documents related to » data analysis and 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.

DATA ANALYSIS AND DATA MINING: Data Quality Improvement , Data Quality Analysis , Data Quality Articles , Data Quality Assessment , Data Quality Indicator , Data Quality Indicators , Data Quality Business Intelligence , Data Quality Initiatives , Data Quality Issues , Data Quality Management , Data Quality Measurement , Data Quality Measures , Data Quality Methodology , Data Quality Methods , Data Quality Metrics , Data Quality Model , Data Quality Objectives , Data Quality Plan , Data Quality Problems , Data Quality Process , Data
9/9/2009 2:32:00 PM

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.

DATA ANALYSIS AND DATA MINING: mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a 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,
6/19/2009

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. 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 it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

DATA ANALYSIS AND DATA MINING: , Data Integration , Data Quality Analysis , Data Quality Approach , Data Quality Assessment , Data Quality Best Practices , Data Quality Campaign , Data Quality Control , Data Quality Framework , Data Quality Improvement , Data Quality Indicator , Data Quality Indicators , Data Quality Issue , Data Quality Issues , Data Quality Management , Data Quality Management Model , Data Quality Management Tools , Data Quality Measurement , Data Quality Measures , Data Quality Method , Data Quality Metrics , Data
9/9/2009 2:36:00 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.

DATA ANALYSIS AND DATA MINING: marketing campaigns will receive data that comes straight from a mainframe in a multiline record with no fielding, as in the following example: Tom Jones Director of Cybernetics, Formalux Acetera Corporation, Formalux Divson 1900 Corporate Way N Cincinatti, OH, 58999 For the record to be useful, it needs its various components identified and standardized– as in changing corporation to corp and correcting divson to division. It then must match and consolidate with the other records pulled from the
6/1/2009 5:02:00 PM

Spend Data Warehouse “On Steroids”
It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need to start with the basics.

DATA ANALYSIS AND DATA MINING: Spend Data Warehouse “On Steroids” Spend Data Warehouse “On Steroids” Source: Zycus Document Type: White Paper Description: It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need
4/5/2007 1:58:00 PM

Creating a Winning Data Transmission Service
Creating a Winning Data Transmission Service. Get Advice for Your Evaluation In Relation To Data Transmission Service. Today’s data transmission departments are battling for budget and relevance. Moving files and ensuring delivery is getting tougher every day. To successfully deliver data to an increasing number of target platforms and meet rising customer expectations, leading companies are adopting service-oriented architectures (SOAs) and upgrading their file transfer departments into data transmission services. Find out more.

DATA ANALYSIS AND DATA MINING: Creating a Winning Data Transmission Service Creating a Winning Data Transmission Service Source: Sterling Commerce, an AT&T company Document Type: White Paper Description: Today’s data transmission departments are battling for budget and relevance. Moving files and ensuring delivery is getting tougher every day. To successfully deliver data to an increasing number of target platforms and meet rising customer expectations, leading companies are adopting service-oriented architectures (SOAs) and
11/3/2008 1:06:00 PM

Fighting Back: How Product Data Management Can Give You the Competitive Edge
Do you want to have a competitive edge? Read this white paper about Product Data Management (PDM). Canadian manufacturers are getting squeezed. Challenged by a rising Canadian dollar, forced to hold the line on prices in the US market, pressured by customer demand for lower prices, better quality, and quicker service, these manufacturers need a way to retain their competitive edge and increase bottom-line profitability. Find out why product data management (PDM) is a solution you can turn to in these challenging times.

DATA ANALYSIS AND DATA MINING: Data Management Tools , Data Management Analysis , Data Management Model , Data Management Specialist , Data Management Strategy , Data Management Technologies . Today s Manufacturing Environment Improving design data collaboration, accelerating product development cycles, and shortening time to market are all key factors in the success of today s manufacturing environment. Success is not only measured by the inal product, but by the processes used to make that product. Manufacturing high-quality
12/12/2007 10:04:00 AM

A Road Map to Data Migration Success
The key to a successful data migration: read a Road Map to Data Migration Success, a SAP white paper. Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

DATA ANALYSIS AND DATA MINING: Source and target application data analysis - Data quality assessment, mapping assessment - Data governance planning - Configuration management - Configuration standards and quality assurance Migration lead (for planning and scoping - Architecture and programming standards - Data quality, data mapping, and data migration assessment - Source to target gap analysis and multiple systems impact assessment Consider using consultants for key roles on a migration project, since it is a one-time, custom effort
1/25/2010 11:36:00 AM

Data Mart Calculator
Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a calculator that provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be changed to fit your needs. Find out more.

DATA ANALYSIS AND DATA MINING: Data Mart Calculator Data Mart Calculator Source: Glenridge Solutions LLC Document Type: White Paper Description: Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a calculator that provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be
5/22/2009 11:18:00 AM

IFS Applications (version 8.0) for ERP for the Mining Industry Certification Report
IFS Applications (v. 8.0) product certification report. Assisted online evaluation of ERP solutions for the mining industry. IFS Applications (v. 8.0) is TEC Certified for online evaluation of enterprise resource planning (ERP) solutions for the mining industry in the ERP Evaluation Center. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

DATA ANALYSIS AND DATA MINING: IFS Applications, IFS Applications v.8.0, IFS Applications ERP for the mining industry, IFS Applications ERP software for mining , ERP software for the mining industry , ERP solution for the mining industry , IFS ERP software for the mining industry, IFS ERP solution for the mining industry, IFS.
8/7/2013 5:11:00 PM

A Guide to Intelligent Data Auditing
Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.

DATA ANALYSIS AND DATA MINING: A Guide to Intelligent Data Auditing A Guide to Intelligent Data Auditing Source: Tizor Document Type: Checklist/Guide Description: Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of
3/19/2008 6:06:00 PM


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