Data Quality & Observability

Detect anomalies anywhere in your data, in real time


Get to the root cause and resolve issues quickly

Data Catalog

Discover any data assets and understand how they are used

Discover the platform for yourself

Take a tour

Learn more

Customer stories

Hear why customers choose Validio


Data news and feature updates

Resource hub

Whitepapers and guides

Events & webinars

Upcoming events and webinars, and past recordings

Get help & Get started

OfferFit take their ML models to the next level with Validio

Read the case study
Product Updates

How to Boost Your Data Intelligence With Validio’s Data Catalog: A Guide to Data Asset Insights

Friday, Feb 23, 20244 min read
Emil Bring

An effective data management strategy goes beyond mere storage and tracking. In today's data-rich landscape, how we interact with data and the insights we derive from those interactions can create immense value for organizations. Validio's Data Catalog is designed to unlock these insights, offering a range of powerful features that shed light on how data is used and managed.

Understand Your Data With Data Asset Insights

Data asset insights serve as valuable metrics that track and measure the usage of your data assets. These assets refer to any registered data sources, tables, columns, or files listed within the Data Catalog.

Validio lets you understand how your data is used and managed to help you maximize its impact on your business.

Let's walk through some of the most valuable features that give you insights into how your data assets are used:

Key Features of Data Asset Insights

1. Utilization rate - Optimize data resources

Understanding usage patterns of data assets is pivotal for resource optimization. Validio's Data Catalog comprehensively tracks read and write operations performed on your datasets, and examines the ratio of writes to reads. This information can highlight underutilized data that should be either archived or promoted more heavily. Likewise, it can identify over-utilized data that may require additional resources to ensure seamless access.

2. Data Quality Score - Ensure Your Critical Data is Reliable

Validio’s Data Catalog calculates the data quality score for each data asset based on the number and severity of incidents that occurred during a certain period. This information can highlight low-quality data that should be either improved or replaced. Likewise, it can identify high-quality data that can be trusted and used for data intelligence and business decisions.

3. Metadata Tags - Ensure Compliance

Metadata tags are labels that describe your data assets and help you comply with data regulations and standards. You can use them to:

  • Follow data rules
    Know where your data comes from, what kind of data it is, why you have it, and what rules apply to it. This will help you follow data protection, privacy, and security laws.
  • Control data access
    Set up who can see, use, and change your data, and make sure they follow the rules. This will help you prevent people from accessing or using your data without permission or in the wrong way. Additionaly, you can add sensitivity tags (confidential - restricted - public) to easily inform necessary access rules.
  • Protect sensitive data
    Find and mark data that is personal, financial, or health-related, and keep it safe. Use methods like masking, encryption, or aggregation to hide or change sensitive data. This will help you avoid data breaches, leaks, or misuse.
  • Delete data when asked
    Find and erase Personal Identifiable Information (PII data) that belongs to specific people or groups if they ask you to. This will help you respect their right to be forgotten or erased.
  • 4. Ownership - Enable Accountability and Data Governance

    Establishing unambiguous data ownership is fundamental to effective data governance. In the Data Catalog, you can assign and publicly display ownership data, making it clear who is responsible for maintaining, securing, and ensuring the quality of each data asset. This fosters accountability, improves collaboration, and provides users with clear points of contact for data-related queries and issues.

    Data Asset Insights Become Critical for Your Data Management Strategy

    Gaining insight into data assets becomes mission-critical for those looking to implement a data management strategy because they enable you to:

    Prioritize and Improve Data Quaity

    First, data asset insights help you to prioritize and improve data quality issues by revealing which data assets are most trusted and valued by your data consumers. This means you can address problems such as missing, inaccurate, or outdated data promptly. Furthermore, these insights allow you to recognize and reward data owners and stewards who maintain high-quality data assets.

    Clean Up Unused Dashboards and Data Sources

    Second, data asset insights showcase the most widely used and popular data assets among your consumers. Armed with this information, you can clean up unused dashboards and data sources to, saving time and resources. Additionally, these insights enable you to promote and recommend relevant and useful data assets, enhancing the value delivered to data consumers.

    Demonstrate Data Value and Impact

    Third, data asset insights provide a clear understanding of how your data assets contribute to business goals and outcomes. This data illuminates the value and impact of your data assets to stakeholders such as executives, investors, and regulators, instilling confidence in your data-driven initiatives. Moreover, data asset insights empower you to calculate and effectively communicate the ROI of your data assets and initiatives.

    Validio Helps You Unlock the Full Potential of Your Data

    Ready to boost data trust and maximize the ROI of your data initiatives? Sign up for a free trial of Validio’s Data Trust Platform today and start using data asset insights. You will be amazed by how much you can learn from and improve your data.

    Maximize the value of your data with Validio's Data Trust Platform