Clean Data
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Data Integrity: the accuracy, completeness, consistency, and trustworthiness of data throughout its lifecycle -
Data Replication: the process of storing data in multiple locations -
Data Transfer: the process of copying data from a storage device to memory, or from one computer to another -
Data Manipulation: the process of changing data to make it more organized and easier to read
Types of Insufficient Data
- data from only one source
- data that keeps updating
- outdated data
- geographically-limited data
Ways To Address Insufficient Data
- identify trends with the available data
- wait for more data if time allows
- talk with stakeholders and adjust your objective
- look for a new dataset
Why Cleaning Data Is Important
- Banking: Inaccuracies cost companies between 15% and 25% of revenue
- Digital Commerce : Up to 25% and B2B database contacts contain inaccuracies
- Marketing And Sales : 8 out 10 companies have said that dirty data hinders sales campaigns
- Healthcare : duplicate records can be 10% and even up to 20% of a hospital's electronic health records
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