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Documents related to » xml 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.

XML 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

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.

XML DATA MINING: Scalable Data Quality: A Seven-step Plan for Any Size Organization Scalable Data Quality: A Seven-step Plan for Any Size Organization Source: Melissa Data Document Type: White Paper Description: 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
9/9/2009 2:36:00 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.

XML DATA MINING: bulk loaded from an XML file. The bulk load capability is useful for loading industry standard product codes and classifications, weights and measures tables, international language translation tables, and data classifications identified using BusinessObjects Data Insight XI. Product Data An important use case for UDC is the cleansing, matching, and consolidation of structured and unstructured product data. A goal for a manufacturer, for example, may be to improve the consistency between item
6/1/2009 5:10:00 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.

XML DATA MINING: The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other
6/19/2009

Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

XML DATA MINING: Beware of Legacy Data - It Can Be Lethal Beware of Legacy Data - It Can Be Lethal Jan Mulder - August 23, 2002 Read Comments Beware of Legacy Data It Can Be Lethal Featured Author - Jan Mulder - August 23, 2002 Introduction The term legacy is mostly used for applications. For example, according to the Foldoc dictionary, legacy is: A computer system or application program which continues to be used because of the cost of replacing or redesigning it and often despite its poor competitiveness and
8/23/2002

Engineering and Environmental Simulation Software for the Mining Industry
Mine evaluation studies, including those that support mine water management or environmental compliance, are rife with challenges. The biggest: to quantitatively evaluate alternative approaches for completing projects, and to identify and manage associated risks. Models must be accurate, and yet still take uncertainty into account. Learn how a simulation tool can you help forecast the behavior of complex mining systems.

XML DATA MINING: Engineering and Environmental Simulation Software for the Mining Industry Engineering and Environmental Simulation Software for the Mining Industry Source: GoldSim Document Type: White Paper Description: Mine evaluation studies, including those that support mine water management or environmental compliance, are rife with challenges. The biggest: to quantitatively evaluate alternative approaches for completing projects, and to identify and manage associated risks. Models must be accurate, and yet still
3/13/2008 9:59:00 AM

Siemens’ JT Data Format Gets a Nod from ISO » The TEC Blog
these other vendors promote 3DXML as the data format. In theory, this standardization will allow CAD-agnostic PLM providers such as Aras to replace a CAD-based PLM vendor, or for someone to switch to another CAD-based PLM system. A certain number of companies will switch each year, but I don’t think this will result in mass conversion, as the cost of a migration is still very high. JT vs. STEP vs. 3DPDF JT is mostly about 3D visualization, so how does it compare with the STEP and 3DPDF formats, which

XML DATA MINING: 3d visualization, CAD, JT ISO standard, plm, Siemens JT, Siemens JT data format, Siemens PLM Software, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
29-01-2013

Information Life Cycle Management for Business Data
Information Life Cycle Management for Business Data. Find RFP Templates and Other Solutions to Define Your Acquisition In Relation To Information Life Cycle Management. While companies have long seen their stores of data as valuable corporate assets, how they manage those stores varies enormously. Today, however, new government regulations require that companies retain and control information for long periods of time. Find out what IT managers are doing to meet these new regulatory requirements, and learn about solutions for storing vast quantities of data for the lowest possible cost.

XML DATA MINING: tablespace, or use the XML capability built-in to the Oracle Database, to extract the information in an open format. Consider an online archive of your data into an Oracle Database. The reasons are clear. The cost of disk is approaching that of tape, eliminate the time to find the tape that contains the data Data remains online when needed, faster access to meet business requirements Use the current application to access the data, no need to waste resources to build a new tool CONCLUSION Oracle Database 1
4/20/2009 3:12:00 PM

More Data is Going to the Cleaners
WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership agreement Firstlogic will develop and support a link between its customer data quality tools and Ardent's DataStage Suite.

XML DATA MINING: More Data is Going to the Cleaners More Data is Going to the Cleaners M. Reed - December 1, 1999 Read Comments Event Summary WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT), a leading global data management software company, today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership
12/1/1999

How the Mining Industry Benefits from ERP Systems
Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows the parallels between the operations in a mining company and those of a manufacturer whose product is sold on store shelves.

XML DATA MINING: How the Mining Industry Benefits from ERP Systems How the Mining Industry Benefits from ERP Systems Leslie Satenstein - August 12, 2009 Read Comments Originally Published - March 26, 2008 Mining is a multifaceted business, one that in many ways parallels a repetitive manufacturing business. The analogy is that exploration and marketing for a mining company, for example, is similar to the marketing research performed by a manufacturer, although a noted difference between the two is that most mines are of
8/12/2009

The Data Warehouse RFP
If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good.

XML DATA MINING: The Data Warehouse RFP The Data Warehouse RFP Source: Baseline Consulting Document Type: White Paper Description: If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make
12/12/2005 5:10:00 PM


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