Data Cleaning: Everything you need to know
What is data cleaning?
Data cleaning is the process of correcting data in a database or deleting inaccurate records. When you have appropriate data, your data analysis demonstrates results that are in line with past and up-to-date happenings within your business. Every department be it marketing, sales, compliance, finance, operations, etc. count on data to make decisions. Data cleaning and reposting services are the need of the hour.
Data quality
It is important to keep the right data. They should be relevant to achieving business goals and complete. They should be accurate and need to be consistent. The use of the same units of measurement through the database, the frequency at which the data is updated, and the ability to locate the data’s source.
The Data cleaning process
The data cleaning process extents four main landmarks, including inspection, cleaning, authenticating, and reporting. They comprise data auditing, visualizations, software packages, workflow specification, and much more. Overall data cleaning consists of irrelevant data, supplicates, type conversion, syntax errors, missing values, workflow execution, post-processing, and controlling.
Good quality data sourcing
You can take the time to nip bad data in the bud by investing in quality data sourcing which comprises of:
· Commitment to data
quality culture
· Spend money to enhance data
entry environment
· Spend money to enhance
application integration
· Promote
interdepartmental cooperation
· Continuously measure and enhance the quality of data
Why you should go for data cleaning?
Cleaning data promptly
will serve your business with different benefits. The various other benefits
include:
- Streamline best practices
- Augmented productivity
- Faster sales cycle
- Better decisions
- Increases the efficacy of customer
gaining activities
- Increases revenue
- Enhances decision-making
process
- Enhances compliance and reduces
risks
- Enhances the integrity of finance data
Challenges with data cleaning
There are some challenges with data cleaning to overcome and with Cloud computing Solutions you can find the right solution. Here is a look at some of its pain points:
Error
correction and loss of information: The primary solution for missing data can result in lost
information. If this happens often, it can result in the deletion of costly as
well as expansive data.
Maintenance
of cleansed data: Once
the data has been cleansed the first time, you will not clean it again and
again. Moreover, it also needs that you keep a lineage of cleansed data and
separate the clean data from new.
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