TBW ADVISORS LLC

Tag: decision integrity

  • Whisper Ranking: Data Validation Platforms Q2 2020

    Online Research Summary

    ABSTRACT

    Digitally transformed organizations expect reliable, data-driven decisions. Data validation platforms are able to test data ingestions and transformations within an enterprise. Many data validation platforms can test structured data, big data, BI Tools and ERP Systems, as well as non-standard data types, be it flat files or streaming. Data validation platforms can conduct regression tests and monitor production data. Likewise, data validation platforms are being used to support six different and critically important use cases. This research evaluates and ranks the various modern data validation platforms according to their architectural capabilities and ability to successfully meet popular use cases.

  • Whisper Report: Six Use Cases Enabled by Data Validation Platforms

    Online Research Summary

    ABSTRACT

    When selecting technologies for your data architecture, it is important to understand common use cases enabled by the technology. This research examines six use cases enabled by data validation and the architecture capabilities used to support the use case. To this end, we examine the validation of ingestion and transformations, the data migration, as well as cloud update use cases. The use cases for production monitoring, completeness of data sets, the ability to compare BI tools’ values, as well as data DevOps are also evaluated.

  • Whisper Report: Decision Integrity Requires Data Validation

    Online Research Summary

    ABSTRACT

    Digitally transformed organizations expect reliable, data-driven decisions, but data-driven decisions require reliable data if the business is to maintain decision integrity. Don’t stop short with only providing data quality that is responsible for standardizing data. All data integrations must be verified and transformations must be validated to ensure decision integrity. Historical methods of “stare and compare” or leveraging SQL scripts are not efficient, nor do they meet governance requirements. Some modern data validation tools can validate even the largest data sets.