How Prodsphere enables product data lineage?

Enterprises today have a multitude of digital touchpoints which they use to interact with customers, partners and internally within the organization, to share and collaborate on product information. In this age of data, AI and social media, organizations are becoming more data hungry to meet these ever-increasing expectations. In this quest to grow fast, product data accuracy and reliability becomes a casualty more often than not.

To help manage this wide array of product information, Prodsphere enables product data lineage in enterprises by providing a framework for tracking the flow of product information across different stages of its lifecycle, ensuring consistency, traceability, and governance.

What is data lineage?

For the uninitiated, data lineage refers to the process of tracking and visualizing the flow of data from its origin through its entire lifecycle within an organization. Data lineage helps organizations understand where data comes from, how it is processed, and how it is utilized across different applications and workflows. This traceability is crucial for data governance, compliance, error tracking, and ensuring data quality.

What are the different types of data lineage analysis?
 

The different types of data lineages are:

Horizontal Lineage:

Horizontal lineage shows the data flow across different systems, applications, and platforms. It reveals how data is moved, integrated, and transformed from source to target, and what tools and processes are involved. Horizontal lineage helps to understand the dependencies and relationships between data sources and consumers, and to identify potential data quality issues, risks, and gaps.

Vertical Lineage:

Vertical lineage shows the data flow within a system, application, or platform. It reveals how data is structured, stored, and accessed at different layers, such as tables, columns, files, fields, records, and keys. Vertical lineage helps to understand the data model, schema, and logic of a system, and to validate the accuracy and consistency of data.

End-to-end Lineage:

End-to-end lineage shows the data flow from the origin to the final destination, covering both horizontal and vertical aspects. It reveals the complete history and journey of data, and how it is affected by various transformations, validations, and rules. End-to-end lineage helps to provide a holistic view of data provenance, quality, and usage, and to support data governance, compliance, and auditability.

Backward Lineage:

Backward lineage shows the data flow from a given point to its original source, tracing the data inputs and influences. It reveals the data sources, origins, and assumptions that contribute to a data output, such as a report, a dashboard, or a decision.

Forward Lineage:

Forward lineage shows the data flow from a given point to its final destination, tracing the data outputs and effects. It reveals the data targets, destinations, and outcomes that result from a data input, such as a dataset, a variable, or a change.

How Prodsphere supports data lineage?

Centralized Data Management:

Prodsphere provides a platform which allows enterprises to manage all types of product data, create a flexible data model which can adapt to the needs of source and destination systems there by truly becoming a single source of truth for all product information in an organization.

Traceable Integration with different systems:

Prodsphere not only offers multiple out of the box and custom integrations, along with the integrations there is attribute level mapping which is also maintained. Attribute level tagging and the integration mapping enable tagging data elements with identifiers to trace them through various systems and processes.

Audit Trail:

Version control and logging of changes made captures lineage by analyzing logs generated by system during data processing and transformation.

Roles based access and permission:

Access control capabilities provide governance mechanisms which are also tracked as part of data lineage.

By embracing data lineage, organizations unlock the power of their data, gaining a competitive edge in the data-driven landscape. As our digital-first world continues an enthusiastic embrace of innovation, integrating product data lineage into data strategies will be crucial for those looking to thrive in product data management.