Io-Tahoe has announced the general availability of its smart data discovery platform at Gartner Data & Analytics Summit 2018 in London.
Io-Tahoe has announced the general availability of its smart data discovery platform at Gartner Data & Analytics Summit 2018 in London.
The new platform includes a new feature called Data Catalog, which gives users the ability to create, maintain, and search business rules, define new rules and improve workflow functionality.
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The Data Catalog can take information from traditional databases, data warehouses, data lakes and other repositories and enhance the information automatically.
In a press release, the company said this could improve team engagement through simplified and accurate sharing of knowledge, rules, and reports.
“Io-Tahoe is unique as it allows the organization to conduct data discovery across heterogeneous enterprise landscapes, ranging from databases, data warehouses and data lakes, bringing disparate data worlds together into a common view which will lead to a universal metadata store,” said Io-Tahoe CEO, Oksana Sokolovsky.
“This enables organizations to have full insight into their data, in order to better achieve their business goals, drive data analytics, enhance data governance and meet regulatory demands required in advance of regulations such as GDPR.”
Data discovery is one of several markets in the business analytics market expected to surge in popularity over the next ten years. MarketsandMarkets estimate the market will grow by over 40 percent by 2021, from $4.33 billion to $10.66 billion.
“Today’s digital business is driving new requirements for data discovery,” said IDC director of data integration and software research, Stewart Bond.
“Now more than ever enterprises are demanding effective, and comprehensive, access to their data – regardless of where it is retained – with a clear view into more than its metadata, but its contents as well. Io-Tahoe is delivering a robust platform for data discovery to empower governance and compliance with a deeper view and understanding into data and its relationships.”
