Benefits of Data Cleansing:
Data cleansing helps enterprises to manage and collect information. When they have clean data, they can easily enter it into the system.
FEATURES
Data Cleansing
Data cleansing is a very important part of analysis. The models/methods created to support the performance analysis are unlike anything else.
Some of the best features are as follows:
Free Data Audit
Free Data auditing will help you understand the current state of your data & how it is affecting your business. It is important to know overall data structure to uncover issues or identify possible opportunities.
Data Quality
Data quality monitoring includes special reporting that allows management to keep track of data quality. A data quality score is established as a quick check for more extensive dashboards. Visibility helps in decision making & planning.
Data Standardization
It is a data processing workflow that converts the structure of disparate datasets into a Common Data Format. It also transforms the datasets after the data is pulled from source systems & before it's loaded into target systems.
Data Deduplication
Data Standardization is an important process that will analyze what percentage of your data is duplicated, it is important to de-dupe & stop duplicates from occurring in the future. It removes any duplicate records, regardless if it’s a lead, contact, customer or account.
Data Parsing
Data parsing is a method where one string of data gets converted into a different type of data. So let's say you receive your data in raw HTML, a parser will take the said HTML & transform it into a more readable data format that can be easily read & understood.
Consolidating
Data consolidation refers to the collection, corralling, combining & integration of data from multiple sources into a single destination. During this process, different data sources are put together, or consolidated, into a single data store that drive better, faster decision-making.
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