BigID Data Governance at the Gartner Data & Analytics Summit

Data Perspective

Gartner’s Data & Analytics Summit is always a great time to meet data professionals and have inspiring conversations about data governance challenges and successes. This year, BigID connected with Summit attendees across various industries seeking solutions to similar data governance problems.

Some of the most pressing trends in data governance spotlighted at the Summit where BigID can help were:

1. Data teams need a way to classify data

Data may be stored in various data sources and in varying formats, including structured data that is not labeled consistently, and unstructured data. Data teams are looking for ways to automatically classify all data in a way that is accurate, consistent, and scalable to know what they have and apply data governance.

BigID delivers ML-driven automated classification to discover what your data is. The platform is a metadata hub that describes the data with classification that is highly accurate based on a sample of the physical data and where it is for context. Further, BigID applies classification to all data, in all sources and formats, so the classification attributes are consistent across all data.

2. Organizations are increasing their demand for data

Data governance owners need to establish and enforce processes that allow the right people to have access to the right data at the right time to make business decisions. Data is used for internal analysis, modeling, and collaboration for strategic business decisions, and information is shared with partners for standard business operations.

BigID applies classification to know what the data is, including sensitivity labels, and is able to connect roles with access rules for role-based access control (RBAC). The first step in delivering any data governance is to know what the data is and what is the sensitivity level, and then admins can set rules about who should have access to what types of data. Role-based access control is important to set policies for both internal collaboration and external sharing with partners for business operations.

3. Data, Privacy, and Security teams must be proactive about privacy regulations

Organizations need to maintain compliance with external privacy regulations including CCPA, GDPR, and upcoming CPRA. Knowing what data they have, who it belongs to, and the ability to report and take action on that specific data is more important than ever. Non-compliance to regulations and increased exposure to data risk comes with significant financial and brand reputation penalties.

BigID data intelligence platform identifies what data is subject to privacy regulations and internal data usage policies and proactively adds metadata tags to that data for awareness, to set access policies, and to add privacy awareness in other partner data catalogs. Automated policies are important for privacy and security, and BigID sees a trend that data governance, privacy, and security have more overlap and an opportunity to work together to add value in an organization. Scanning a data asset one time and adding classification with deeper insight provides consistency and simplifies the complexity of data governance with privacy and security. Incremental scanning and automated intelligence help data environments stay updated and current for compliance more effectively than any manual governance process.

Do these requirements resonate with data priorities that you are facing in your organization? We’d like to hear from you. Schedule a meeting and see how BigID can help you reach your data governance goals.