Digital Bucket Company junior consultant's presentation on Data Cleansing. A key service of Digital Bucket Company is helping organisations to have organised and clean data sets. Please watch and for further information please contact www.digitalbucketcompany.com

1. Data
Cleansing
By Abid

2. What is Data
Cleansing?
• Data Cleansing is the action of
identifying and then removing or
amending any data within a
database that is:
• Incorrect
• Incomplete
• Duplicated
• And under the GDPR (General
Data Protection Regulation)
• Irrelevant/unnecessary

3. Why is Data Cleansing
important?
• By ensuring their data is always as
accurate as possible, organisations
are better placed to:
• Maintain good customer
relationships
• Improve organisation efficiency
• Drive useful data-driven insights
• In addition to these, under
General Data Protection Regulations
(GDPR), Data Cleansing is essential.

4. Data
Cleansing
Process

5. Examples of Data
Cleansing Methods
• Cleanix
• Scare (Scare Automatic
Repairing)
• Katara
• BigDansing

6. Benefits of Data
Cleansing
• Improved Decision Making
• Boosts Results and Revenue
• Save Money and Reduce Waste
• Save Time and Increase
Productivity
• Protect Reputation
• Minimise Compliance Risk

7. Problems Associated
with Data Cleansing
• High Volume of Data
• Misspellings
• Misfielded Value
• Domain Format Errors
• Contradiction
• Cryptic Values and Abbreviation
• Embedded Values

8. Thank you
www.digitalbucketcompany.com