Oil and gas companies must process large amounts of data from resource exploration, energy production and transportation, and product distribution. Utilities and retail businesses in the supply chain must manage financial and marketing data. Process and protect, which relate to the billing of sales, promotions, transport, company pensions, etc.

The IRI Voracity platform and their primary CoSort„SortCL„-Machines play an important role in integrating and providing structured sources of energy industry transaction data, so that they can be organized and fed into OLAP databases, BI tools, and analytical platforms. Data scientists interested in predictive analytics, machine and deep learning, and artificial intelligence for research, for example, can now use large raw datasets processed in Voracity, direct inKNIME Analysis Node or other data visualization platforms like Spotfire Feed in.

There are also challenges with protecting proprietary formulas, locations, and personally identifiable information (PII) across structured, semi-structured, and unstructured data sources, as well as in master data management (MDM), as mergers and acquisitions often require common data, metadata, and application platform standardization. Voracity data masking, metadata, and quality frameworks were developed to also address these data governance issues.