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        David Menninger's Analyst Perspectives

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        Accelerate Business Outcomes with Immuta Data Access Governance

        The data governance landscape is growing rapidly. Organizations handling vast amounts of data face multiple challenges as more regulations are added to govern sensitive information. Adoption of multi-cloud strategies increases governance concerns with new data sources that are accessed in real time. Our Data Governance Benchmark Research shows that organizations face multiple challenges when deploying data governance. Three-quarters (73%) of organizations report disparate data sources as the biggest challenge, and half of the organizations report creating, modifying, managing and enforcing governance policies as the second biggest challenge.

        Immuta is a data access governance platform that enables organizations to manage, store and share data across various systems. It facilitates automated data controls while reducing the need to self-manage and maintain the deployment. Data engineering and operations teams can automate data security, access control and privacy protection to accelerate data-driven business outcomes. It can integrate across various system architectures, and offers scalable policy enforcement in the cloud, on-premises or with hybrid architectures.

        With the rising need for governance in data operations, data teams are constantly challenged to provide secure, scaled access to multiple cloud data products while maintaining strong security, privacy protection and auditability. Traditional methods of data access control can require tedious and redundant efforts to manage across multiple applications. Our Data Governance Benchmark Research shows that organizations face multiple shortcomings with existing data governance technologies. Common challenges are inadequate reporting or dashboard capabilities, difficulty in updating policies and too few data governance capabilities.

        Immuta provides native integration with cloud data platforms including Amazon Redshift, Databricks, Google BigQuery, Microsoft Azure Synapse, Snowflake and Starburst. The software can also help users maintain audit logs, store data usage agreements, apply policies across data sources and generate compliance reports. Data engineering and operations teams can use this platform to control access to analytical data sets in the cloud.

        Last year, Immuta raised $90 million in its series D funding, bringing its total capital financing to $169 million. The company is investing in product innovation and strengthening its teams. Immuta is also focused on building relationships and expanding its partner network of cloud data platforms.

        Immuta supports configuration of role-based permissions and approval workflows, enabling workers to view sensitive data and gain access to new projects. Developers and security stakeholders can create policies and secure confidential data using various privacy features, such as encryption, data masking and k-anonymization. Analysts can securely share queries, codes or credentials across teams, and business workers can see what data was accessed, when, by whom and for what purpose. Immuta can accelerate cloud data and analytics initiatives by automating data security, access and privacy protection. Immuta can also audit data usage and gather insights with reports in a unified enforcement layer.

        Managing multiple cloud ecosystems and large amounts of sensitive data can be challenging. Organizations that are looking to automate data access governance processes across various data and compute infrastructures should evaluate the capabilities of Immuta.  

        Regards,

        David Menninger

        Authors:

        David Menninger
        Executive Director, Technology Research

        David Menninger leads technology software research and advisory for Ventana Research, now part of ISG. Building on over three decades of enterprise software leadership experience, he guides the team responsible for a wide range of technology-focused data and analytics topics, including AI for IT and AI-infused software.

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