Operationalizing Data Quality through Data Governance - Data Governance: Creating Value from Information Assets - page 73

oversight of standards, architecture, business processes, business inte-
gration, and risk and compliance. Data governance is an organizational
structure that oversees the compliance and standards of enterprise data.
Establishing and implementing good data governance practices, we can:
• Keep the enterprise-level data quality picture in mind and prevent
the company from understanding and addressing upstream prob-
lems that impact data outcomes caused by people and processes and
that cannot be fixed by technology alone.
• Avoid project silos or data quality silos in the data quality control
development.
• Leverage data quality strength across the enterprise and apply right
data standards, business rules, and data models, therefore reducing
duplicating operational costs.
• Increase the process efficiency by leading the implementation of
multiple technologies for the same purpose within the company,
which raises the cost of software, training, and maintenance.
• Synergize enterprise-capable technologies, which are utilized in a
single instance when they could be leveraged across multiple projects
and data sources.
In other words, data governance drives enterprise data quality by break-
ing down the barriers associated with project-based data quality.
DATA STANDARDS ENABLES AUTOMATION
OF DATA QUALITY CONTROL PROCESS
We live in an electronic age where information is captured every second
and data volumes are growing exponentially. Every 1.2 years, the volume
of business data worldwide doubles. 9 A research firm, IDC (Framingham,
MA), predicted 10 in 2011 that global digital output is expected to increase
tenfold from 2008's output of 180 exabytes (1 exabyte is a little over
1 billion gigabytes) and is projected to reach 35,000 exabytes by 2020. With
emerging technologies and demanding of business needs, we are facing
all kinds of challenges that block us in achieving business efficiency and
productivity. In this section, we will discuss why standards are important