Expand Data should be your ideal choice if you are thinking of outsourcing your data cleansing services. You can benefit from various advantages if you outsource to Expand Data.
Expand Data can cleanse your databases, check for data accuracy and get rid of duplicated as well as incorrect entries, our data cleansing experts can combine multiple data sources in order to enable an easy access to your data.
Expand Data offers its data cleansing services in a variety of methods depending on the type of data at disposal
Expand Data Solutions follows a strict policy in terms of security & confidentiality. You can be assured about the privacy of your data.
We help businesses format, classify, modify, replace, organize, delete and correct collected information across multiple data fields. When you outsource data cleansing services to Expand Data, we help you channel your database resourcefully and devise better targeted sales and direct marketing campaigns.
We rectify all irregularities in data, updating old and obsolete data, performing referential integrity checks, organizing mailing lists, ensuring consistent attribute names and create homogenous pools of data to provide our clients with more effective data.
- Identifying and removing duplicate records
- Identifying and revising irrelevant, inaccurate, incomplete, missing, spurious, invalid, corrupt or obsolete data
- Identifying key variables in an existing database
- Suggesting new variables to enrich a database
- Data auditing and aggregation
- Database cleaning services
- Address Data Cleansing
- Adding missing details such as first and last names, date of birth, telephone numbers and postal codes
- Suppressing information against industry standard files such as MPS, GAS, TBR, NSF etc.
- Enhancing databases with additional information like product attributes, images and manufacturer specifications
- Tagging similar records after a manual review
- Comparing and removing records that march any third-party information – e.g. opt-in and opt-out lists
- Matching and correlating data across a number of fields
- Interlinking and consolidating multiple data sources
- Converting CRM systems from a set of records, tables or databases
- Correcting values against a known set of entities, viz. name, gender, pronunciation, address, contact details and lower/upper case specifications
- Rectifying discrepancies with respect to spellings, abbreviations and type errors
Learn more, contact us today.