Examples of using Data cleansing in English and their translations into German
{-}
-
Colloquial
-
Official
-
Ecclesiastic
-
Medicine
-
Financial
-
Ecclesiastic
-
Political
-
Computer
-
Programming
-
Official/political
-
Political
The mainfeatures of data cleansing.
Data cleansing strategies and their implementation.
We ll handle data cleansing for you.
The first step of pricing analysis: Data Cleansing.
Data Cleansing- Data Quality instead of Data Chaos.
Quality controls and data cleansing need to be done on a regular basis.
Data cleansing, profiling, masking, parsing, and matching on Spark and Hadoop.
Use all the functions for data cleansing and data matching online as a service.
We are particularlypleased with the increased reuse rate achieved by the data cleansing.
MetaComp's customers are able torefresh their technology securely every three years with compliant data cleansing and recycling services.
But data cleansing has more applications than just organising contact information.
The idea is to deliver the basics of data-prep and data cleansing required for simple use cases.
Data cleansing is supported by data quality tools including master data management.
The sixth module in the prudsys RDE product family,the RDE Data Cleansing module has also been extended with new processes.
Data cleansing is the process of fixing any and all data quality issues arising in a dataset.
Implementation of process optimisation and data cleansing with agile project development in interdisciplinary working groups.
Data cleansing is the process of fixing any and all data quality issues arising in a dataset.
Transform Based on the profiling results data types as well as data content can be manipulated(data transformation and data cleansing) using so called Converts.
Data cleansing creates optimal data quality in respect of being up-to-date, reliability and detailing levels.
 Identify confidential data- regardless of where it is stored,capture the confidential data inventory, and automatically manage data cleansing.
Data cleansing is supported by powerful data quality tools including master data management.
Digital forecasts require data from internal- and sometimes external- sources that is as extensive as possible.The digital forecasts are then adjusted and enriched using data cleansing.
Data cleansing extracts customer data from the widest range of source systems, databases, files and applications.
The obtained research results will act as a foundation for research and development in areas such as spam and fraud detection,advanced data cleansing, and recommender systems.
The Unicode capability of data cleansing means that different written characters and country-specific character sets can be dealt with.
The RDE Data Cleansing module helps you to create product variants and consolidate your master data. It also uses duplicate analysis to identify potential fraud.
The manual effort needed for data cleansing is minimised, operative processes are optimised, and data purchases from outside sources is reduced.
Everybody involved with data cleansing in a CRM or data warehouse project, or who has dealt with the tasks of list management in direct marketing, knows the problem.
Anyone who is concerned with data cleansing in a CRM or a data warehouse project or with list management tasks in direct marketing is inevitably confronted with the issue of address duplicates and duplicate matching and merging.