Blog > April 2018 > Data Lineage – Bridging the Gaps in Data Governance

Data Lineage – Bridging the Gaps in Data Governance

What happens to data as it travels across the organization and goes through diverse processes? Data Lineage provides an answer to this and fixes the gaps in data governance.

With the emergence of breakthrough technologies like artificial intelligence, automation and the Internet of Things (IoT), data is increasingly the most vital asset for all enterprises. It is the driving force for all critical business activities, and most importantly, decision-making. Data-intensive businesses strive to follow the best practices in Data Governance to arrive at meaningful, profitable business decisions.
Data Governance is all about managing versatile, voluminous data effectively, maintaining its quality throughout its lifecycle, and keeping it safe from cybersecurity incidents through to the end of its useful life.

But why do most governance frameworks fail?
Enterprise data is highly mobile. It serves multiple purposes in an organization and goes through multiple processes, departments and changes during its lifetime. So, it’s easy to lose track of where data is moving in an organization and who is handling it, especially when huge sets of data are involved. Moreover, it is difficult to integrate the several elements of data governance into a unified governance strategy.

That’s where Data Lineage comes in.
Data Lineage is the process of tracking where data comes from, where it moves within the organization and what changes are made to it, and understanding how it impacts the business. It is the practice of documenting data movement and allowing stakeholders to visualize it for better decision making. It acts as a string that ties together all the critical elements of data governance strategy, including data management, data quality, data security and audit and legal compliance. 


Why do you need Data Lineage?
Apart from bridging the gaps in a Data Governance framework, Data Lineage leads to better understanding of enterprise data and offers valuable business insights to management. Here are four key reasons data-driven organizations are adopting Data Lineage as a part of their governance strategies:

Transparent Data Visualization – Business data is of critical importance to stakeholders, including internal teams as well as external authorities. Since Data Lineage maps the movement of enterprise data as it moves in the organization, right from its source through to its final destination, it offers users a transparent view of the data at any given point in time. For instance, the marketing team can view historical market trends to channelize marketing efforts in a profitable way.

Improved Data Quality – Maintaining the quality of enterprise data is a key aspect of successful data governance. As data grows in quantity, the need for data quality rises, too. Accurate Data Lineage gives a clear, end-to-end picture of enterprise data, its movement and its performance across the enterprise. It allows the data stewards to resolve errors as and when they occur and develop better strategies to improve data quality.

Optimized Data Analysis – Data without analytics is just a pile of figures. Analytics is what adds value to business data, makes it meaningful and drives intelligent business decisions. By tracking the data flows through the organization, Data Lineage allows management to closely observe trends, analyze glitches and arrive at sound decision-making. It also facilitates easy, real-time reporting of enterprise data.

Effective Compliance Management – Data-driven enterprises are constantly governed by stringent regulations, legal policies and regular audits. Data Lineage helps establish a culture of compliance and makes enterprises audit-ready. It allows the risk management teams to constantly view critical business data across departments, standardize its usage, safeguard it from data breaches and eventually achieve regulatory compliance goals.

Data is indisputably the most valuable business asset for all enterprises today. The better you nurture and govern your enterprise data, the more you can monetize it and improve business performance. Data Lineage is the master key to effective data management and governance. It is the glue that holds together data spread across disparate business processes and leads to unified data governance — a worthy investment in today’s data-centric world.

To learn more about ASG’s perspective on data lineage and governance, visit page or download this whitepaper.
Posted: 4/20/2018 9:40:09 AM by Marc Hebert, Chief Operating Officer at Estuate
Filed under :compliance, data, governance, lineage