Data Cleansing Developer Toolkits
The Problem
Data quality - duplicate records, incomplete records, the lack of standardization, the accessibility to data, the inability to resolve data across disparate sources, and their impact on data quality. Incomplete and duplicate contact records will infiltrate your systems from every touch point and from every person accessing your data. The reason is simply the failure to identify potential duplicate records at the point of capture, and the inability to aggregate new data as it is introduced.
| Prevention | Search / Lookup | Web Entry | Batch |
 |
 |
 |
 |
Attaining a Single Accurate View of your Customer
Whether your data quality needs stem from Business Intelligence (BI), data warehousing, Customer Data Integration (CDI), direct marketing or merging data residing across the company, the process will all start with the same requirement – a single accurate view of customer data.
The matchIT API is your key component in developing a broad systematic process to unify customer data. It can be called to resolve a single data quality need, or as an integral component of a larger data management process for tackling not only the quality but also the accessibility of data. The matchIT API is designed for deployment in both batch and real time processes to address a multitude of data quality issues.
With the matchIT API plugged into your systems, you can:
Identify Prevent Standardize Enhance Enrich
- prevent the addition of duplicate records
- remove existing duplicate records
- match records across systems
- intelligently search/lookup records in a database
- automatically case names and addresses
- properly case names and addresses
- improve structure and relocate data elements to correct fields
- detect gender from forenames
- screen for garbage and offensive entries
- match phonetic, miskeyed and abbreviated variations
- standardize titles and qualifications
- intelligently split names into component parts
