Data Integration and Cleansing
Data integration is the practice of combining data from different sources and structuring it for better consumption.
Data cleansing is the process of identifying and cleaning inaccurate, or irrelevant data. This critical stage of data processing — also referred to as data scrubbing or data cleaning — helps in providing the consistency, reliability, and value of your company’s data.
We support agencies by providing:
- Data Entry Training
- Validating Data
- Removing Duplicate Data
- Backing Up Data
- Collaborate
- Testing and Security to ensure data integrity
we provide the above training to avoid the following:
Human Errors
By following data entry best practices, we can avoid human error. A clean and genuine data will flow in your data warehouse and reporting.
2. Transfer Errors
Data is transferred from different sources by various means. It could be through data entry or by using a system. An accurate data transfer will assist in getting a clean data.
4. Data accuracy
Making sure that accurate data is collected and stored every time. By performing appropriate data testing and securing the data, we can ensure that data has the right access based on need-to-know basis. Unauthorize data access will prevent any data leaks.