Data Quality Management

  • Business rule validation
  • ETL & data pipeline testing
  • Regression & unit testing
  • Data profiling & anomaly detection
  • Data reconciliation
SEB Baltics
"Professional team with open mindset, listening to customer needs, reactive."
"All-in-one data quality solution for our Vertica data warehouse and its source databases."
Centre of Registers and Information Systems
"An enthusiastic and motivated team to listen to the client's ideas and wishes."
Holm Bank
"Flexible and quick solution to discover and analyze data quality issues. The application is easy to install and use. Professional and friendly client support."
Starship Technologies
"Trust is hard to earn and easy to lose. LiTech makes it easier to earn and harder to lose."
"Convenient and systematic way to set up and manage your data quality queries."
Up to 50% of data practitioner's time is spent on data quality issues



All of your data validations in one place

Hard coding validation queries into data pipelines and storing them in text files or query editors is unsustainable and does not allow collaboration.
  • Centralized application to store data validations for all of your databases.
  • Easy collaboration between role-based users in your data teams.
  • SQL based test cases for clear expectations about the data.

No more time wasted on manual data testing

Creating data validations manually and sampling data are not efficient or reliable methods for testing large datasets.
  • Dynamic rules automatically applied for data objects without having to write any code.
  • Automatically executed validations and alerts.
  • Anomaly and deviation detection using machine learning.

Reduced delays by detecting errors as soon as they appear

Constant change in data requires systematic testing and monitoring to detect errors and ensure data quality.
  • Prevent negative impact and delays by validating data whenever it is expected to change.
  • Automated data quality reporting with detailed information on errors.
  • Scheduled testing to trigger emails or webhooks on assertion failures.

Data quality integrated into your internal processes

Use API to execute data validations and get results in any of your internal systems.
  • Data validation at any crucial step of your data pipeline.
  • Results exported to other internal tools for reporting.
  • Automated incident management.

Features and attributes

Supported data sources

Is your database missing?
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  • Oracle
  • PostgreSQL
  • SQL Server
  • MySQL
  • MariaDB
  • Redshift
  • Vertica
  • Teradata
  • Snowflake
  • BigQuery
  • SAP
  • OpenEdge
  • Exasol
  • Databricks
  • RESTful API
  • CSV files

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