Partnership plans to unlock “Dark Data”
Australian technology company Nuix and big data analytics company Teradata have formed a partnership to integrate Nuix’s data processing and indexing engine with Teradata’s Aster Analytics.
The firms claim that using the Nuix Engine to extract text and metadata from hundreds of file types and millions of documents will provide valuable raw material for Aster’s analytics platform.
“Integrating the Nuix engine with Teradata Aster Analytics opens up exciting investigative analytic possibilities for our mutual customers,” said Randy Lea, Americas Vice President, Business and Analytics Practice, Teradata Aster.
“Nuix can ingest an unmatched breadth of unstructured formats such as email, archives, PDFs, and other documents and extract text and metadata for use in investigative analytics.”
The Nuix Engine normalises data - turning unstructured, structured, and semi-structured formats into searchable text and metadata. Organisations can use Nuix to extract information, perform first-level analysis, and promote the most relevant data into Aster Analytics. They can then apply Aster’s text, machine learning, and pathing analytics to uncover insights that have been unachievable using either technology on its own.
Combining the capabilities of Nuix and Aster Analytics can turn many data types that organisations think of as liabilities into assets. Nuix and Teradata’s initial joint activity will focus on offering a communication compliance solution in the financial services sector.
“For example, Aster's sophisticated analytics can look for words and phrases and then apply sophisticated analytical business rules to find compliance infractions or fraud,” said Lea.
“A human-driven investigative workflow would then leverage the results to audit the flagged documents to determine what actions to take. This example alone brings powerful new analytic techniques to investigate compliance infractions and fraud that cost companies millions of dollars per year in direct costs and fines if they go undetected.”