Are you finding someone who can refine the information in your organization? Are you finding someone for cleanse your data records to get better results? Are you finding someone to remove duplicate data? If yes, then you should go for Data Entry India for data enrichment services.
Data Entry India provides a wide range of data enrichment services which is cost-effective and comprehensive. Our aim is to provide you 100% accuracy and consistency of your database. You can keep your mind free from all old mailing addresses, phone numbers and duplicates records as we take care of your records.
Why need Data Enrichment Services?
Mostly existing data in database contains duplicate, incomplete and incorrect records. Also, when we extract data from multiple sources then it may have inconsistent formats making it difficult to be analyzed or use. To identify and eliminate incorrect records from the database, we need data enrichment services. It also adds data from multiple sources if the data is incomplete to remain maintain its quality.
Our Data Enrichment Services Include:
Phone/Address/e-mail: We help you in getting a list of accurate address, phone numbers and e-mail addresses from different directories. We also update already existing record in the database.
Invalid Record: We filter out the records which are incomplete and incorrect.
Expired Record: We filter out the individual records on the basis of age criteria.
Existing Data Enrichment: We check any spelling, grammar corrections and enhancement of the data interface.
Duplicate Data: We identify and eliminate duplicate records from the database.
At Data Entry India, our aim is to ensuring accuracy and consistency of your database. If you want high quality records at very minimal cost then Data Entry India would be your right choice for outsource data enrichment services. As part of our data cleansing and enrichment services, we perform records filtering, typos and spelling errors removal, missing information fixing, mailing list cleansing, multiple data sources consolidation, database normalization and standardization, data validation and verification, data deduplication, etc.