All articles

Data Products Configuration in Collibra Data Intelligence Cloud

Data Products Configuration in Collibra Data Intelligence Cloud
Data Products in Collibra provide a structured way to package, govern, and share data so business and technical users can discover and consume it.
Tagged in:
Steve Novak
Steve
Novak
Vice President
View bio

In the context of data mesh, "data products" refer to self-serve, domain-oriented data assets that encapsulate a specific business capability. The concept of data mesh, popularized by Zhamak Dehghani, emphasizes decentralizing data ownership and treating data as a product.

By adopting the principles of data mesh, organizations aim to overcome challenges related to data silos, centralization, and scalability, ultimately improving the agility and effectiveness of their data capabilities.

5 steps to configure Data Products in Collibra

  1. Define Data Products

A business intelligence report may be classified as a data product. Figure 1 shows a PowerBI-based Inflation report in Collibra. The report also includes a custom attribute for the value that has been assigned to the report.

Figure 1: PowerBI report in Collibra

  1. Develop Derived Data Products

Derived data products are based on one or more data products. For example, a bank has an Office of the Comptroller of the Currency (OCC) Compliance data product, which is derived from the Report Certification data product, which is derived from several report data products including Inflation (see Figure 2).

Figure 2: Banking data products relating to OCC compliance and report certification

  1. Establish Data Quality Scores for Data Products

The data quality score from Collibra OwlDQ may be appended as a custom attribute to the data product. For example, the data quality index for the Customer Master data product is 80 percent (see Figure 3).

Figure 3: Customer Master data product has a data quality score of 80 percent

  1. Agree on Data Privacy Rules for Data Products

Data products need to be constrained by data privacy rules. For example, the Chat Log data product is constrained by a rule that highly confidential data such as Social Security Number must be masked before usage for analytics (see Figure 4).

Figure 4: Privacy rule for chat log data product

  1. Create Customer-Specific Contractual Rules for Data Products

Data products also need to be constrained by contractual rules that are specific to customers. For example, an investment manager may have customer contracts that permit differing levels of data usage. The investment manager’s contracts with IBM and Honeywell only permit usage of 401(k) participant data within the app. However, the contract with Information Asset does not have any such usage restrictions (see Figure 5).

Figure 5: Mapping of data products to privacy and contractual rules

Other articles

Clinical Transformation Is Not an IT Project: What Your Physicians and Operational Leaders Need From You Before the Initiative Launches

Clinical Transformation Is Not an IT Project: What Your Physicians and Operational Leaders Need From You Before the Initiative Launches

Healthcare
Clinical transformation fails when it is run as an IT project. What physicians and operational leaders need from the C-suite before the initiative launches.
The Five Fault Lines in Health System Clinical Operations That Transformation Must Address, and That Most Initiatives Miss

The Five Fault Lines in Health System Clinical Operations That Transformation Must Address, and That Most Initiatives Miss

Healthcare
Five recurring fault lines in health system clinical operations that transformation initiatives must address. Most miss them and stall in stabilization.
When Compliance Becomes a Data Problem: Why Your Greatest Regulatory Risk May Be Hiding in Your Data Infrastructure

When Compliance Becomes a Data Problem: Why Your Greatest Regulatory Risk May Be Hiding in Your Data Infrastructure

Healthcare
Compliance is a data problem before it is a legal problem. The regulatory exposures hiding in fragmented infrastructure that auditors are now empowered to find.
Client testimonial
The Definian team was great to work with. Professional, accommodating, organized, knowledgeable ... We could not have been as successful without you.
Senior Manager | Top Four Global Consulting Firm

Partners & Certifications

Ready to unleash the value in your data?