K-MEANS MAP REDUCE ALGORITHS Guidebook_FINAL

1. Artificial Intelligence and Data Analytics (AIDA) Guidebook
Page 48
The efforts of the Change Agents, who develop a plan to engage with all organizations across
DHA within a given timeframe might be an exception. The Change Agents then plan activities
and track their progress against that plan.
Performance Management
It is possible to track and measure the efficacy of change management efforts when the goals
of the change effort are clearly defined. Through end-of-deployment surveys, teams can track
the effectiveness of the Change Agents, communications, and change leadership efforts.
Results from these surveys provide valuable insight into what changes might be necessary to
the change management efforts to have a bigger impact on AI and data analytics adoption and
deployment.
These additional metrics will enable the team to understand how rapidly the community is
growing, how mature it is in relation to how mature it should be, and the skills and abilities
across the community.

2. Artificial Intelligence and Data Analytics (AIDA) Guidebook
Page 49
11 Governance Policy
Governance refers to the function of providing oversight of operational management, to ensure
that an organization (i.e., people, processes, and technology) is being managed effectively to
achieve strategic goals while complying with relevant laws, regulations, and policies. Data
governance is more narrowly focused on a collection of processes, roles, policies, standards,
and metrics that ensure the effective and efficient use of information in enabling an
organization to achieve its goals. Governance policy frameworks structure and delineate power
and the governing or management roles in an organization.
IT Governance is an integral part of enterprise governance and consists of the leadership and
organizational structures and processes that ensure that an organization's IT sustains and
extends the organization's strategies and objectives. Ensuring related policies and management
decisions are a part of this governance process provides for a high-level, organization wide
strategic approach to IT and data analytics management. It also provides a structured decision-
making process around investment decisions and promotes accountability, due diligence, and
efficient and economic delivery of enterprise IT services.
• Implementing Governance – any project, investment or program that receives IT
governmental funding can be aligned to one of the 19 Governance Boards. Each of these
Governance Boards (GB) are assigned to one of four Executive Steering Committees
(ESC).
• Establishing a Board of Governance (BoG) – assignees are designated by members of
ESC.
Figure 14 provides examples of governance structures that might be used within an
organization at various levels and to support different functions (i.e., IT, Strategic Development,
Operations, etc.). Ultimately each governance structure will be tailored to the organization’s
unique needs and leadership structure.