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  1. DZone
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  4. Machine Learning-Driven Smart Data Discovery Solution

Machine Learning-Driven Smart Data Discovery Solution

Learn how Io-Tahoe enables data governance, enhances data management, and achieves compliance for data-driven enterprises.

Tom Smith user avatar by
Tom Smith
CORE ·
Mar. 19, 18 · Opinion
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It was great speaking to Oksana Sokolovsky, CEO of Io-Tahoe, about the availability of a new smart data discovery solution. The new solution includes the addition of Data Catalog, which allows data owners and data stewards to use a machine learning-based smart catalog to create, maintain, and search business rules, define policies, and provide governance workflow functionality. Io-Tahoe’s data discovery capability provides complete business rule management and enrichment. It enables a business user to govern the rules and define policies for critical data elements. It allows data-driven enterprises to enhance information about data automatically, regardless of the underlying technology and build a data catalog.

“Today’s digital business is driving new requirements for data discovery,” says Stewart Bond, Director Data Integration and Integrity Software Research, IDC. “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 solution for data discovery to empower governance and compliance with a deeper view and understanding of data and its relationships.”

Sokolovsky says:

“Io-Tahoe allows the organization to conduct data discovery across 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. This enables organizations to have full insight into their data to better achieve their business goals, drive data analytics, enhance data governance, and meet regulatory demands required in advance of regulations such as GDPR.”

Increasing governance and compliance demands have created an opportunity for data discovery. According to MarketsandMarkets, the data discovery market is estimated to grow from $4.33 billion USD in 2016 to $10.66 billion USD in 2021. This is driven by the increasing importance of data-driven decision-making and self-service business intelligence (BI) tools. However, the challenge of integrating the growing number of disparate platforms, databases, data lakes, and other silos of data has prevented the comprehensive governance, and use, of enterprise data.

Io-Tahoe’s smart data discovery solution features an algorithmic approach to auto-discover rich information about data and data relationships. Its machine learning technology looks beyond metadata and at the data itself for greater insight and visibility into complex datasets across the enterprise. Built to scale, Io-Tahoe makes data available to everyone in the organization, untangling the complex maze of data relationships and enabling applications such as data science, data analytics, data governance, and data management.

The technology-agnostic solution spans silos of data and creates a centralized repository of discovered data that users can search and govern. Through self-service features, users can increase team engagement through simplified and accurate sharing of data knowledge, business rules, and reports. Users have a greater ability to analyze, visualize, and leverage business intelligence and other tools, all of which have become the foundation to power data processes.

Data integration Discovery (law) Machine learning

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