Data Cleaning and Enrichment
What was our client's requirement?
Our client is a top Tier analytical Service Company that deals with lot of credit, banking, and financial information. They came to Datagene to assist with Data normalisation and remove redundancy from the data. What was already there? Well, they had a dirty and an unstructured dataset but asked our team to clean it up and then automate the process.
What was the Solution?
Immediately after extracting and migrating the data from Salesforce, it was important that we identify and correct errors, inconsistencies, and inaccuracies in the dataset so as to improve the data quality.
Data Enrichment was also executed where wrong and inaccurate dataset was removed and in most cases updated the dataset in order to measure up to the business standard.
