Automated Data Management Solution
A powerful, real time enterprise solution for Cleansing, De-duping, and enriching the data. By integrating StarDQ Data Validation Solution, organizations can cleanse, match and unify data across multiple data sources and data domains, to create a strategic, trustworthy, valuable asset that enhances decision making power, reduce expenses and ensure seamless customer interaction.
StarDQ Self-Service Data Quality Empowers business users to quickly prepare data sets with a visual, interactive interface that is designed for ease of use and suggests one-click fixes for inaccurate, incomplete, and duplicate data
Self-Service data quality solution
Self-Service data quality solution
Starcom’s Self-Service Data Quality Capabilities:
- Give business users, data stewards, and IT business analysts quick access to a set of easy-to-use data integration, Reusable Cleansing & De-duplication rules to improve the value of data efficiently.
- Provide self-service data access and preparation tools – and encourage business users to be self-sufficient and data-driven.
- Import multiple data sets from on-premise, cloud, or spreadsheet data sources – and let the software guide the prep process.
- Prepares data sets with a visual, interactive UI that suggests one-click fixes for inaccurate, incomplete, or duplicate data.
- Monitor and operationalize data access and usage – and give IT the ability to govern how business users prep data
- Provide Real time operation and Machine Learning (ML) algorithms for quality monitoring and management
Architecture
Architecture
Data Cleansing
Data Cleansing
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
Data Profiling (Standardization)
Data Profiling (Standardization)
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.
Read MoreData De-duping
Data De-duping
Reverse process of duplication
- Cross-match and associate disparate data sources regardless of format and identify matching records, even where misaligned or poorly formatted, and prepare the information for matching through StarDQ-Pro cleansing;
- De-duplication is the process of matching and merging for the purpose of removing duplicate records, especially customer related records. This contributes to achieving the single view of the customer.
- By clustering similar records based on a threshold percentage match of Name and/or Address and thereby Identifying unique records (which are not clustered with any other record)
- Householding is the process of matching customers belonging to a group, usually identified by the same address. Customer names are not merged; however, they are linked to the address that is stored once. The benefit of householding is the improved ability to understand and target related customers.
StarDQ
Data Stewardship
Starcom’s Geo Coding Solution
StarDQ Online Verification Module
