Data Analysis and Profiling Functionality

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

by Lyndsay Wise ... transform, and deliver data, as well as to immediately identify data anomalies through an embedded source and target profiling and analysis system. ... 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.

Software Test Tools Comparison and Evaluation

... templates and patterns for new models and model re-use Customizable workflow Data Access Data analysis and profiling functionality Data Architecture Data ... http://test-tools.technologyevaluation.com/ - 42k - 2009-03-09

Customer Data Integration: A Primer

by Lyndsay Wise ... the DataFlux CDI Solution include data profiling, access to ... connection and access to multiple data sources to allow for easy and timely analysis, and matching ... 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 ... the DataFlux CDI Solution include data profiling, access to ... connection and access to multiple data sources to allow for easy and timely analysis, and matching ... 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.

Interelate: More on Tap Than Apps

by L. Talarico ... acquisition and cross-selling by profiling the behavioral ... as well as the amount and frequency of data analysis. ... that need analytical CRM functionality but do ... http:/.../Research/ResearchHighlights/eCommerce/2000/09/news_analysis/NA_EC_LJT_09_15_00_1.asp - 8k - 2000-09-15 Summary: Interelate, a customer intelligence ASP, recently announced partnerships with infrastructure service provider LoudCloud and CRM analytics vendor E.piphany. These partnerships complement Interelate’s analytics expertise to provide new analytical CRM service offerings that promise to provide more value

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

by Anna Mallikarjunan ... This includes profiling and analysis to gain an understanding of data, transformation that helps cleanse and enrich data, phrase profiling and parsing ... 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.

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

by Anna Mallikarjunan ... This includes profiling and analysis to gain an understanding of data, transformation that helps cleanse and enrich data, phrase profiling and parsing ... 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.

SAP's Approach to the Retail Market

by P.J. Jakovljevic ... investments in historical data analysis, demand-based ... center [DC]-level), seasonal profiling, allocation, and ... and broad integration functionality that focuses ... http:/.../Research/ResearchHighlights/Erp/2004/10/research_notes/VN_ER_PJ_10_02_04_1.asp - 21k - 2004-10-02 Summary: SAP and its ERP peers appear to understand that continuously improving the way enterprise information is presented and by marrying analytics, optimization, and retail operation systems on top of an ERP platform is starting to win over retailers.

Lawson's Approach to the Retail Market

by P.J. Jakovljevic ... investments in historical data analysis, demand-based ... center [DC]-level), seasonal profiling, allocation, and ... and broad integration functionality that focuses ... http:/.../Research/ResearchHighlights/Erp/2004/09/research_notes/VN_ER_PJ_09_24_04_1.asp - 24k - 2004-09-24 Summary: Lawson Retail Operations Suite solutions are built for high-volume retail enterprises and encompass a range of activities, including the management of item information, category planning and review, assortment, pricing, promotions, warehouse replenishment, multichannel ordering, store replenishment, fore

Retail Market Dynamics for Software Vendors Part Two: Progress

by P.J. Jakovljevic ... investments in historical data analysis, demand-based ... and DC-level), seasonal profiling, allocation, and ... open and broad integration functionality that focuses ... http:/.../Research/ResearchHighlights/Erp/2004/09/research_notes/TU_ER_PJ_09_14_04_1.asp - 25k - 2004-09-14 Summary: ERP vendors are making their way into the retail market by bundling, acquiring point solutions or partnering strategically to embed retail-specific functions within their suites. Like in all other enterprise applications markets, eventually, albeit not any time soon, the retail market too will come to a