Augmentation Of Data

By Author: kristina stabro
Total Articles: 1
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Most companies suffer from poor data and need to have it cleansed to obtain any level of business value. The process of Data Cleansing involves standardizing, validation, and correction of data to maximize integrity and value. Data Cleansing Services is multi-faceted process, and a number of problems must be addressed to solve any particular data-cleansing problem.
Often the existing data has no consistent format being derived from many sources. Or it contains duplicate records/items and may have missing or incomplete descriptions. Experts help data cleansing by removing inconsistencies, fixes misspellings, abbreviations and errors. The data is normalized so that there is a common unit of measure for items in a class, e.g. feet, inches, meters, etc. are all converted to one unit of measure. The values are also standardized so that the name of each attribute is consistent. Data scrubbing also called data cleansing, is the process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated. Most data warehousing projects experience ...
... delay and budget overruns due to unforeseen circumstances relating to data cleansing, thus data cleansing is extremely important part. It is important is start mapping out the data that will be entered into the data warehouse as early as possible. This may change as the project matures but the documentation trail will come in extremely valuable as you will need to obtain commitments from data owners that they will not change data formats without prior notice. Data cleansing has a deep impact on all aspects of business.

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