What Causes Dirty Data?
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dirty data |
data corruption |
bad database data |
data scrubbing service
dirty data |
data corruption |
bad database data
In an ideal world, data would go into your database correctly, completely
and consistently; in other words, cleanly. Unfortunately, where transactional
databases, contact managers and CRM systems are concerned, that’s rarely
possible. Many of the more powerful contact management and sales database
systems have algorithms built into them that perform data scrubbing
operations on incoming data to nip as many potential data problems
in the bud.
More information on data scrubbing.
Whether you pack that kind of processing power, or manage your data
in a more conventional database, scrub your data before or after the
fact, the following lists some of the reasons for good data going bad:
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dirty data | causes
bad database data
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Poor or "creative" data entry, including misspellings, typos,
transpositions, and variations in spelling, naming or formatting.
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Missing data.
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Lack of company-wide or industry-wide data coding standards (e.g. a big problem in health care).
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Multiple databases scattered throughout different departments or organizations, with
the data in each structured according to the idiosyncratic rules of each.
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Older systems that contain poorly documented or obsolete data.
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data corruption |
bad data | avoid
dirty data | costs you money
data corruption |
bad data |
dirty data |
bad data |
dirty data |
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bad data |
dirty data | is also called
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bad data
As the list suggests, data scrubbing is aimed at more than eliminating errors
and redundancy. The goal is also to bring consistency to various data sets
that may have been created with different, incompatible business rules. Without
data scrubbing, those sets of data aren't very useful when they're merged into
a mailing list or warehouse that's supposed to feed business intelligence
across an organization.
In the early days of computing, most data scrubbing was done by hand. And when
performed by bleary-eyed humans, the laborious task of finding and then fixing
or eliminating incorrect, incomplete or duplicated records was extremely
costly - and often led to the introduction of new errors.
Northwest Database Services' specialized software tools use sophisticated algorithms
to parse, standardize, correct, match and consolidate data. Our operations range from
simple cleansing and enhancement of single sets of data to matching, correcting and
consolidating database entries from different databases and file systems.
Contact us for more Data Scrubbing information
Topics:
dirty data |
data corruption |
bad database data |
data scrubbing service
dirty data |
data corruption |
bad database data |
dirty data |
data corruption |
bad data |
dirty data |
data corruption |
causes of bad data
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