Cyquent helps clients develop data strategy to resolve long-standing issues created by data
silos, data duplication and “multiple versions of the truth”. Cyquent takes an integrated
model view of data management and data governance.
We define data governance as the steps that organizations take to create and update
organizational policies. These policies ensure adherence to regulatory requirements, legal
requirements, and business best practices; they also strengthen data security by preventing
data from getting into the wrong hands. Data governance embodies and establishes the rules,
technologies, processes, and human actions that are needed to enforce data policies. The
result is minimized data redundancy and a single authoritative source of data: a “single
version of the truth” that facilitates effective data-driven decisions.
In Cyquent’s model, data management is the technical implementation of data governance. Data
management is concerned with the data across its entire lifecycle (i.e., from creation to
retirement). Data management practices can prevent ambiguity and make sure that data
conforms to organizational best practices and governance for access, storage, back up, and