Optimization of Algorithm to Identification of Duplicate Tuples through Similarity Phonetic Based on Multithreading

Andrade, Tiago Luís de; Souza, Rogéria Cristiane Gratão de; Babini, Maurizio; Valêncio, Carlos Roberto

doi:10.1109/pdcat.2011.58

Cited by 3 publications

(1 citation statement)

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“…Cleansing Process: Data cleansing is one of the most important issues in ETL process as it ensures the quality of the data in the DWH [30]. The data cleansing deals with detecting and removing errors and inconsistencies from data in order to improve the quality of data [40,41]. The data cleansing phase involves three steps include: data analysis, data refinement and data verification [38].…”

Section: Transformation Processmentioning

confidence: 99%

Clinical Data Warehouse Issues and Challenges

Mohammed¹,

Talab²

2014

IJUNESST

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Section: Transformation Processmentioning

confidence: 99%

Clinical Data Warehouse Issues and Challenges

Mohammed¹,

Talab²

2014

IJUNESST

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Improving Data Quality in Intelligent eCRM Applications

Ahmed

Amroush

Maati

2018

Encyclopedia of Information Science and Technology, Fourth Edition

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Today most of the businesses are in continuous search of sophisticated tools and techniques to progressively grow their business. And therefore, the use of intelligence systems has found its pace in the global market. The intelligence systems has mostly effected the E-CRM as it is the most critical and central part for the growth of the business. The E-CRM approaches have enhanced drastically with an integration of the business intelligence systems and organizations are now diligently striving for excellence by gaining benefit from these integrated systems. However, there are many organizations which lag behind in escalating their progress and growth as they have not yet understand how to improve the data quality by using business intelligence systems and therefore used it for decision making. Hence, the following research is conducted to study the implementation trends of Intelligence E-CRM in business process and how the business intelligence systems could help in improvising the data quality and the business processes.

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The Intelligence of E-CRM Applications and Approaches on Online Shopping Industry

Ahmed

Maȃti

Mohajir

2019

Advances in Marketing, Customer Relationship Management, and E-Services

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Today, most businesses are in continuous search of sophisticated tools and techniques to progressively grow their business. Therefore, the use of intelligence systems has found its pace in the global market. The intelligence systems has mostly affected the E-CRM as it is the most critical and central part for the growth of the business. The E-CRM approaches have enhanced drastically with an integration of the business intelligence systems and organizations are now diligently striving for excellence by gaining benefit from these integrated systems. However, there are many organizations that lag behind in escalating their progress and growth as they have not yet understand how to improve the data quality by using business intelligence systems and therefore used it for decision making. Hence, the following research is conducted to study the implementation trends of intelligence E-CRM in business process and how the business intelligence systems could help in improvising the data quality and the business processes.

show abstract

Optimization of Algorithm to Identification of Duplicate Tuples through Similarity Phonetic Based on Multithreading

Cited by 3 publications

References 9 publications

Clinical Data Warehouse Issues and Challenges

Clinical Data Warehouse Issues and Challenges

Improving Data Quality in Intelligent eCRM Applications

The Intelligence of E-CRM Applications and Approaches on Online Shopping Industry

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