This blog is the first in a series about implementing an actionable and targeted Data Governance Communication Plan. Such a plan provides a common vocabulary and awareness across the organization of what things need to go right toward the quest to total data quality and operational efficiency realized through effective Data Governance.
The most important aspect of developing any communication plan is to know your audience, and to be able to deliver your message using their language. Targeted communications in the social media context has made significant advancements over the years. Browsing history is used to determine likely future purchases, spending, and travel. “Friends” provide a gold mine about interest, locations, politics, and demographics. All this information gives marketers tremendous insight on target audiences for selling their wares.
In comparison, the ability to truly know your audience to hit the bullseye when defining a Data Governance Communication Plan in possible. Going back to the traditional CRUD matrix (create, read, update, delete), it is possible to understand a business unit data interests through the relationship between their business process and the data used.
We continually hear a very consistent cry for help where Data Consumers are very eager to understand the health of data assets, pending data structure changes, data definition changes, system of record changes, data ownership changes, etc. A Data Governance Communication Plan needs to be targeted to Data Consumers, as well as the traditional Data Owners.
MetaGovernance utilizes the concept of a Registered Governance Stakeholder in our practice. Our intent is to formalize this designation, which is defined as a business user who has a vested interest in information or data assets as a particular point in time. “Registration” occurs as part of the Data Governance implementation.
This blog series will explore various aspects of helping practitioners communicate a shared passion for Data Governance in the quest for providing accurate and timely data for operations, analytics, and financial disclosure. Additionally, we will focus on eliminating the operational waste that is prevalent across all organizations. The ability to turn data hunter and gathers into data scientists and more value-added roles.
While this blog series is targeted to Data Governance, all the same concepts will apply to the sister discipline of Information Governance. While Data Governance primarily focuses on structured financial and operational data, the scope can be increased to address unstructured records and the inclusion of different business units such as Legal, Compliance, and Records Retention as found in the Information Governance world.