

Data quality is a measure of the state of an enterprise's data based on several factors, such as accuracy, completeness, consistency, reliability, and how recent it is. Measuring the quality of data for enterprises contributes to identifying data errors, if any, speeding up their resolution, and evaluating whether the data available in the enterprise's information technology systems are appropriate to serve the desired goal or not to correct them.


Capabilities
Detect irregularities in data loads, including data volume changes, outliers, and changes in data characteristics.
Standardize, cleanse, validate, enrich, and match data as your applications need.
Evaluate and start monitoring data quality in your systems directly. See all data quality controls, trends, and anomalies in one place.

Big Data
Big data is vast and complex collections of data obtained from various sources such as web pages…
Data Warehouse
A data warehouse serves as a central repository for information that flows into it from various…
Data Lake
A data lake is a centralized repository that allows storing all data of both structured and…
Lake House
A data lakehouse is a new, big-data storage architecture that combines the best features of both…
Data Modeling
Data modeling is creating a simplified flowchart of a software system and all the data it…
Data Streaming
Data streaming is the process of seamless and continuous transmission of data at a constant rate…
ODS Operational Data Store
The operational data store (ODS) is an active database used as a temporary place to store data…
Data Integration
Data integration is the process of combining data from multiple source systems to create…
MDM Master Data Management
Master data management (MDM) is the process of creating a consolidated set of data about…
Meta Data Management
Metadata management is the management of data that describes other data by designing a metadata…
Data Virtualization
Data virtualization is an approach to data management that allows data to be retrieved,…