data quality tools

Take identity resolution and data matching to the next level

Data quality starts with having high-precision identity resolution across all data sources and identity proxies (e.g. individuals, households, cookies, IP addresses, IoT devices). In order to get the most precise data, organizations need a combination of deterministic, probabilistic, and heuristic matching along with the ability to apply it in real time. Leverage advanced probabilistic and heuristic matching algorithms to create a Golden Record for each entity that persists over time.

Learn How

data quality tools

Work with all data sources and types

Easily integrate data from any data source or type without coding, making it less complicated and less costly. Work with first-party, second-party, third-party, structured, unstructured, active, and dark data to create a complete and precise view of your customers. Process all of this data from Big Data and traditional sources with the agility and scale your business demands.

Learn How

data quality tools

Automate data quality with zero latency

Automate data quality to ensure that all data going into your models and used for operations is pristine. In this new era of machine learning and advanced algorithms, it is an imperative that the data is accurate and timely to avoid making the wrong decisions. Automate data quality to the point of zero latency between data ingestion, aggregation, analysis, and action, enabling delivery of accurate insights in the timeframe most useful to the business.

Learn How