Syncsort, the worldwide leader in Big Iron to Big Data software, today revealed Trillium DQ for Big Data, supplying best-in-class data quality and data profiling abilities in a single solution, created to work natively alongside distributed architectures. Making use of Trillium DQ for Big Data, organizations can now apply data quality to big volumes of enterprise data on-premises or in the cloud, supplying trusted data for business insights and comprehending the entire potential of recent technologies to meet their requirements of data governance and compliance.
Dr. Tendü Yoğurtçu, CTO, Syncsort explained that recent Syncsort research showed that over 72 percent of respondents said sub-optimal data quality is adversely affecting business decisions. Also, close to half realized inaccurate insights (results which cannot be banked upon) from analytics were as a result of a deficiency of quality in the data fed into downstream application like machine learning and AI. By supplying integrated data cleansing, standardization, profiling and matching on cloud and distributed platforms, Syncort is empowering organizations to take care of data quality issues and achieve significant business value from their data.
Trillium DQ for Big Data is a portion of Syncsort Trillium family of data quality market-leading products, created to make sure enterprises comprehend and also trust the quality of their data for efficient utilization and perfect insights at the speed of business. It is an integrated solution which delivers cleansing, profiling, matching and standardization which includes strong entity resolution on distributed architectures, in the cloud and on-premises.
Highlights of data quality capabilities and data profiling supplied by Trillium DQ for Big Data, on-premises and in the cloud, are:
Single solution to back up a variety of Big Data quality cases of use; for comprehending issues, problems and value of the data in the data lake which includes 3rd party data, needs to use, govern and trust key business information and improved analytics to create data quality solutions which deliver a 360-degree view in support of crucial analytical and compliance needs (such as anti-money laundering, fraud detection, omni-channel marketing, data science, machine learning, and predictive analytics).
Scalable data profiling of high volumes of data and comprehensive matching of complex entities to assist make sure data quality and create a 360-degree view of essential entities (e.g. customers) for key business applications and AI pipelines in the midst of the data lake.