StarDQ is a powerful enterprise solution for profiling, cleansing, augmenting and standardizing the data to significantly improve returns on corporate intelligence initiatives. It can transform and combine disparate data, remove inaccuracies, standardize on common values, parse values and cleanse unclean data to create a strategic, trustworthy, valuable asset that enhances decision making power.

Pre-processing, Verification & Validation
Our Data Quality tool Extracts data from various database and flat files
Eliminates the erroneous data as per the preset conditions, to aid cleansing
Consolidates ineligible data into separate reports with the appropriate reasons
Starcom uses a system of in-house developed libraries to enrich and cleanse customer records. The libraries are built over decades of research into the Postal System and draws the information from verified and validated sources.

Users have the option of directly enriching data elements using the libraries. Cleansed and Enriched data gives the business better understanding of data items and enables better and accurate service offerings.

Standardization Rules and Validation
Defining Name standardization by First, Middle and Last Name with its priority and hierarchy
Defining Date Format (dd/mm/yyyy) and its various validations, combinations
Defining Address line1, 2 & 3 mandatory, priority, hierarchy and its split & standardization rules

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