Data Cleansing and Transformation

Comparing Business Intelligence and Data Integration Best-of-breed ...

by Lyndsay Wise ... should deal with is identifying how it will manage data cleansing and data integrity functions within the data warehouse over time. Data Transformation. ... 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.

Oracle Buys Carleton Corporation to Enhance Warehouse Offering

by M. Reed ... With this acquisition, Oracle gains access to both the data extraction/ transformation and the data cleansing technologies. Oracle ... http:/.../Research/ResearchHighlights/DataWarehousing/1999/11/news_analysis/NA_DW_MFR_11_10_99_3.asp - 7k - 1999-11-10 Summary: 'REDWOOD SHORES, Calif., and MINNETONKA, Minn., Nov. 9 /PRNewswire/ -- Oracle Corporation (Nasdaq: ORCL) and Carleton Corporation (Nasdaq: CARL) today announced that the two companies have signed a definitive merger agreement for Oracle to acquire Carleton, an early innovator of data quality and mainfram

Distilling Data: The Importance of Data Quality in Business ...

by Anna Mallikarjunan ... Data cleansing is an integral part of the transformation process and enforces business and schema rules on each record and field. ... http:/.../ResearchHighlights/BusinessIntelligence/2008/10/research_notes/TU_BI_AM_10_20_08_1.asp - 19k - 2008-10-20 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.

Distilling Data: The Importance of Data Quality in Business ...

by Anna Mallikarjunan ... Data cleansing is an integral part of the transformation process and enforces business and schema rules on each record and field. ... http:/.../ResearchHighlights/BusinessIntelligence/2009/07/research_notes/TU_BI_AM_07_17_09_1.asp - 21k - 2009-07-17 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.

A One-stop Event for Business Intelligence and Data Warehousing ...

by Lyndsay Wise ... Included were data profiling; data transformation; data cleansing; source and target mapping; data cleansing and transformation; and extract, transform, and ... http:/.../Research/ResearchHighlights/BusinessIntelligence/2006/10/news_analysis/NA_BI_LW_10_25_06_1.asp - 17k - 2006-10-25 Summary: The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and ac

Metagenix Reverse Engineers Data Into Information

by M. Reed ... helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and transformation of existing data. ... http:/.../Research/ResearchHighlights/DataWarehousing/2001/02/news_analysis/NA_DW_MFR_02_15_01_1.asp - 9k - 2001-02-15 Summary: Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an 'open book' policy, which includes pub

Continuous Data Quality Management: The Cornerstone of Zero ...

by Greg Leman, CEO, Metagenix, Inc. ... A transformation function is applied to both the source and target records ... category, Accuracy, is handled by traditional name and address data cleansing tools. ... 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.

Customer Data Integration: A Primer

by Lyndsay Wise ... as data extraction, data standardization, data transformation, and data load functionality, CDI solutions offer additional data cleansing, data profiling, and ... http:/.../ResearchHighlights/BusinessIntelligence/2006/08/research_notes/TU_BI_LW_08_22_06_1.asp - 21k - 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.

Customer Data Integration: A Primer

by Lyndsay Wise ... as data extraction, data standardization, data transformation, and data load functionality, CDI solutions offer additional data cleansing, data profiling, and ... http:/.../ResearchHighlights/BusinessIntelligence/2009/09/research_notes/TU_BI_LW_09_11_09_1.asp - 21k - 2009-09-11 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.

Enterprise Application Integration - Where Is It Now (And What Is ...

by Michael F. Reed ... Transformation tools (to define how to map data from one system to another). ... component is crucial to EAI success, and is tied to Data Cleansing (see below). ... http:/.../Research/ResearchHighlights/DataWarehousing/2001/09/research_notes/TN_DW_MFR_09_03_01_1.asp - 22k - 2001-09-01 Summary: Since January 2000 when TEC last addressed the trends in Enterprise Application, there have been massive changes in the overall direction of Application Integration in general and EAI in particular.