Results 1 - 10 of about 89 for Data Cleansing
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Oracle Buys Carleton Corporation to Enhance Warehouse Offering
| by M. Reed |
... Apertus was a supplier of data cleansing and integration software. The product of this merger
became Carleton Pure*Extract™ (data ...
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| http:/.../Research/ResearchHighlights/DataWarehousing/1999/11/news_analysis/NA_DW_MFR_11_10_99_3.asp - 6k - 1999-11-10 |
| Summary: |
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More Data is Going to the Cleaners
| by M. Reed |
... "Our customer data cleansing and matching tools work with ... We predict this trend will
continue as Ardent now has very strong data cleansing capabilities. ...
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| http:/.../Research/ResearchHighlights/DataWarehousing/1999/12/news_analysis/NA_DW_MFR_12_1_99_2.asp - 5k - 1999-12-01 |
| Summary: 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 application
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Data Quality: Cost or Profit?
| by Kevin Ramesan |
... With this said, an application's contribution to data cleansing remains a pillar to the overall
success of a data quality strategy. ...
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| http:/.../Research/ResearchHighlights/Crm/2004/03/research_notes/MI_CR_KR_03_08_04_1.asp - 14k - 2004-03-08 |
| Summary: Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking
beyond general approaches and company policies that set expectations and establish data management procedures, we will explore
applications and tools that help reduce the negat
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Datawarehouse Vendors Moving Towards Application Suites
| by M. Reed |
... vendors announced product suites that they claim offer broader integration between business intelligence, data
movement, data cleansing and metadata management ...
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| http:/.../Research/ResearchHighlights/DataWarehousing/1999/09/news_analysis/NA_DW_MFR_9_29_99_1.asp - 10k - 1999-09-29 |
| Summary: During September, two more data warehousing vendors announced product suites that they claim offer broader integration between
different data warehousing technologies. BI vendor Cognos announced
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Distilling Data: The Importance of Data Quality in Business ...
| by Anna Mallikarjunan |
... Data quality functions fall into three categories: data profiling, to analyze and identify quality
issues; data cleansing, to correct and standardize data in ...
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| http:/.../ResearchHighlights/BusinessIntelligence/2008/10/research_notes/TU_BI_AM_10_20_08_1.asp - 19k |
| Summary: As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a
reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.
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Customer Data Integration: A Primer
| by Lyndsay Wise |
... applications such as billing and call center systems do not always feed into one another, and even when they
do, lack of data cleansing and management can ...
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| http:/.../ResearchHighlights/BusinessIntelligence/2006/08/research_notes/TU_BI_LW_08_22_06_1.asp - 20k - 2006-08-22 |
| Summary: 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.
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Comparing Business Intelligence and Data Integration Best-of-breed ...
| by Lyndsay Wise |
... following data integration vendors provide the same functionality as the aforementioned BI vendors,
but with an increased focus on data cleansing and integrity ...
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| http:/.../ResearchHighlights/BusinessIntelligence/2006/03/research_notes/TU_BI_LW_03_07_06_1.asp - 19k - 2006-03-07 |
| Summary: There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality
into their overall BI framework, while best-of-breed data integration vendors, who provide enhanced ETL functionality, have
an increased focus on data cleansing and integrity.
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Lapiz Technical Services
... industry practices 6. Criticality Analysis Inventory Optimization: 1. Inventory Analysis 2. Cataloguing, data
cleansing, coding and classification 3. MRO Bill ...
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| http://directory.technologyevaluation.com/profile.aspx?vid=17503 - 4k |
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Continuous Data Quality Management: The Cornerstone of Zero ...
| by Greg Leman, CEO, Metagenix, Inc. |
... Middleware and Data Integration merely move faulty data from point A to point B. While an implementation
may incorporate data cleansing as part of a project ...
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| http:/.../Research/ResearchHighlights/DataWarehousing/2002/10/research_notes/MI_DW_XGL_10_17_02_1.asp - 25k - 2002-10-17 |
| Summary: No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality
can destroy its utility and cost real dollars.
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A Definition of Data Warehousing
| by M. Reed |
... Data Cleansing: This is typically performed in conjunction with data acquisition (it can
be part of the "T" in "ETL"). A data warehouse ...
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| http:/.../Research/ResearchHighlights/DataWarehousing/2002/08/research_notes/TU_DW_MFR_08_18_02_1.asp - 15k - 2002-08-18 |
| Summary: There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for
data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating,
and querying a data warehouse typically carries an ext
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