Teradata DataDNA GA
November 16, 2020
DataDNA is an automated service that produces data lineage and usage
analytics. Using the power of Vantage, the company’s flagship hybrid
multi-cloud data analytics software platform, DataDNA delivers
transparency into an organization’s data assets and their utilization
across the ecosystem, regardless of platform or technology, to ensure
maximum analytic value is being derived throughout the enterprise. By
giving businesses full insight into their data – including whether data
is used, how it is used, and by whom – DataDNA enables customers to use
data as their greatest asset, eliminating data redundancy, reducing
cost, accelerating data integration, assisting in regulatory compliance,
and increasing the return on investment.
Eliminating data duplication;
Providing self-service business insights;
Ensuring efficient and fact-based data governance;
Guaranteeing data quality;
Reconciling data and processes across platforms; and
Generating automated and accurate change impact analysis.
The demand for automated data management has increased dramatically in
recent years as data proliferation has accelerated, creating a need for
services and solutions that help companies understand their vast data
ecosystems. With DataDNA, the insights into what systems do with data,
and who is using that data, are derived from metadata. This makes the
service much less invasive and the footprint much lighter, so that no
intensive system processing is required.
Automated Data Usage Analysis: Understand who uses what data, when, and how. This can assist with clean up, decommissioning, PII data analysis, and regulatory compliance.
Data Asset Catalog: Ability to identify the data that is an asset to an organization along with who uses the data – for data monetization purposes, data as a service, etc.
Business Glossary Management: Helps companies build or manage business glossaries by linking the business glossary terms to the physical lineage from which the data arrives.
Subject Area Fingerprinting: Understand the subject areas that are being used in IT environments and support Cloud migration use cases, duplication analysis, and much more.
PII identification: Identify where PII data is stored and how it moves across an environment, using metadata. This light touch approach significantly reduces the system and human resources required to identify where PII data is held and who accesses it.
Impact Assessment: With the touch of a button, run an impact assessment report to determine what impact a change will have across an entire connected lineage.