Meaningful insights require good quality data. Cognizant’s experience shows a vast majority of organizations spend a significant amount of time getting the data ready for consumption.
BigDecisions takes a zero-code approach to this entire process which reduces process time by almost 60%. Our zero-code approach enables organizations to manage their data more effectively. Users can quickly achieve their desired outcome by utilizing the following Data Management workbenches—Data Ingestion, Data Transformation, Data Privacy, Data Quality and Metadata Management.
Our BigDecisions Data Ingestion workbench is a universal data ingestion tool for extracting and loading large volumes of data from a variety of data sources. Examples include databases, REST APIs, FTP/SFTP servers, and filers on Hadoop, relational and IOT capable storage.
The BigDecisions Data Transformation workbench enables engineers to integrate, transform and aggregate data from one or more source datasets to target datasets.
The BigDecisions Data Quality workbench enables self-service data quality governing capabilities. It also provides an intuitive user interface for data stewards to define and manage rules, that govern the ingestion of source data feeds across relational and big data systems.
Our BigDecisions Metadata workbench plays a vital role in metadata management lifecycle for enterprises by addressing critical aspects of metadata governance, capture, integration, access and visibility, and maintenance and retirement of metadata. It also enables end-to-end data lineage.
The BigDecisions Data Privacy workbench enables data stewards and data administrators to set data privacy rules for ethical governance of personally identifiable information (PII) data.