Depending on who you’re asking in an organization the answer about data discovery’s purpose may vary. Data discovery may be used to continuously monitor and manage the data’s lifecycle; to comply and adapt to evolving regulations with privacy-enabling technologies; to provide analytics that monetize data; or to protect sensitive data. So, again, the answer really may depend on who you are asking.
For example, the Chief Data Officer wants to capitalize on data opportunities, create a competitive advantage through data, or de-risk data driven projects. The CISO’s focus is on data security and protection. And the CIO’s concern is data clean-up and optimization. In all these roles, the data must first be discovered to complete the task.
Data Discovery Definition and Purpose
Data discovery enables your organization to identify, catalog, and classify business-critical and sensitive data, so you can govern it for meaningful purposes with increased transparency.
As the first step in a data governance journey, data discovery provides the data intelligence an organization needs to optimize data use and protect data from risk exposure allowing new insights, helping transform raw data collection into data intelligence that fuels value creation and data risk management in the modern enterprise.
Accelerate Your Journey Through the Increasingly Complex Challenge of Data Discovery
CyberRes, a Micro Focus Line of Business and partner Information First are teaming up to provide a three-part expert exchange series to discuss the increasingly complex challenges that modern organizations face with Data Discovery. The series will provide an easy-to-consume approach to address these challenges in three 30-minute chats. Each chat will feature customer case studies, insights from the solution delivery team, and valuable perspectives from the software provider.
Optimizing Data Discovery & Governance Expert Exchange Series
Below are the challenges we’ll discuss in our first 30-minute chat on Data Discovery and Governance Challenges, April 21, 2022:
- Lack of governance over exponentially increasing unstructured data
- Lack of visibility of data across disparate silos and repositories
- Unnecessary computing infrastructure needed to manage data with little or no value (e.g., ROT – Redundant, Obsolete, or Trivial)
- Cost to produce and review large amounts of data in response to litigation
- Non-compliance with data/records retention policies
Our next session is Data Discovery and Governance Solutions on Thursday, May 5, 2022 1:00 p.m. EDT.
CyberRes and Info-First experts will discuss a unique automated approach to governance through file analysis and a methodology to remediate the problems and challenges you face:
And finally, Data Discovery & Governance and POV Framework, Thursday, May 19, 2022
1:00 p.m. EDT.
A short demonstration and discussion of what a proof-of-value framework looks like, including:
- Discover and insight for the problem issues
- Discover and insight phases
- Data discovery and protection
These 30-minute chats will feature customer case studies, insights from the solution delivery team, as well as valuable perspectives from the solution provider.
We look forward to seeing you at one or more of these insightful discussions with Data Discovery and Governance industry experts.
More in information:
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