Database Reference
In-Depth Information
trust the data, and the more data sources around which you cast your
analytics “net,” the more trust issues you are going to have.
A decline in trusted data represents a serious impediment to the adoption
of new applications and technologies that are intended to enrich an analytics
ecosystem. Information integration and governance technologies address the
quality issues that compound in a Big Data world by proactively managing
information governance, thereby establishing trust in information and fos-
tering the adoption of Big Data analytics applications. Trust, combined with
risk assessment, is essential before action can be taken.
The Definition of Information
Integration and Governance
The marketplace has amassed many definitions for information integration
and governance. Although resolving the nuances among these definitions is
outside this chapter's scope, we offer the following working definition for
the discussion that takes place in the remainder of this chapter.
Information integration and governance (IIG)
is a business strategy for how
an organization treats information. At its heart, it defines the policies for
how information is used, shared, and proactively monitored within an
organization. It involves technology for policy definition, metadata
management, data quality, information integration, information lifecycle
management, privacy and security, and master data management. It also
involves people and processes, which ultimately determine and enforce
governance policies. The purpose of information integration and gover-
nance is to establish and deliver trusted information.
Let's examine the essence of the last statement: “The purpose of governance
is to establish and deliver trusted information.” What makes an organization
and its users trust information? We believe that there are six key factors involved.
•
Informationisunderstood
The origin, value, and quality profile of
the information are well understood.
•
Informationiscorrect
It's standardized, validated, verified, and
matched.
•
Informationisholistic
It shouldn't be fragmented; there shouldn't
be competing versions of the same information.
