Identifying and Resolving Data Issues

Owned by PS Development
Dec 11, 2023
2 min read

Voyager, with its robust data cataloging and search capabilities, offers a comprehensive solution for identifying and resolving a wide array of data issues.

Here are just a few examples of specific data quality challenges:

  1. Duplicate Data:

    • Identification: Voyager’s advanced indexing capabilities enable it to scan the entire data repository, identifying duplicates based on predefined criteria or algorithms including the use of MD5 hash algorithms.

    • Resolution: Once identified, duplicates can be managed by moving the data, deleting, or flagging them for further review, depending on organizational policies.

  2. Incomplete Fields:

    • Identification: Through systematic indexing, the platform can detect records with missing information.

    • Resolution: Incomplete fields can be flagged for user attention, or automated processes can be used to fill in missing data where possible.

  3. Inconsistent Formats:

    • Identification: The system recognizes inconsistencies in data formats across different data sets.

    • Resolution: Tools are provided to standardize and transform data into a consistent format, aligning with the organization's data management standards.

Enhancing Data Quality and Usability:

  • Advanced Indexing: The heart of the solution lies in its sophisticated indexing capabilities, which scan, categorize, and analyze data, identifying quality issues.

  • Customizable Workflows: Users can set up custom workflows to automate the process of resolving these issues, improving efficiency. These are generally applied as part of the Voyager indexing pipeline or through the processing framework.

  • Data Governance Integration: The platform integrates data governance policies, ensuring that all corrections and standardizations comply with organizational standards.

  • User Collaboration: It also supports collaborative efforts in data cleansing and maintenance, allowing users to contribute to and benefit from a cleaner, more reliable data environment.

In summary, Voyager effectively leverages its enterprise search and data cataloging strengths to tackle common data issues like duplicates, incomplete fields, inconsistent formats, language variations, human errors and other common issues. Through a combination of advanced indexing, automated workflows, and user collaboration, Voyager ensures high data quality and usability, crucial for any organization's data management strategy.