verified answers
Data governance - correct answer ✔✔set of rules and decisions for managing data. It provides
the definitions, standards, and procedures for how data should be used and by whom.
Data preparation and capture - correct answer ✔✔This includes internal data entry processes to
capture accounting transactions, customer data, other operational information, and outside
data sources such as research material or financial statistics.
Data access - correct answer ✔✔knowing where the data is and how it can be retrieved.
Data quality - correct answer ✔✔involves processes to make sure data is accurate and usable
for its intended purpose.
Data integration- give an example around accounting - correct answer ✔✔financial statements
being dynamically updated each time an accounting transaction occurs.
Data Management Benefits - correct answer ✔✔Increased overall efficiency, Enhanced on-
demand access to data, Sounder decision-making
What are some examples of the data governance committee (DGC) responsibilities? - correct
answer ✔✔Establish and maintain data interactions across organizational functions
Monitor internal data projects for alignment with corporate strategy
Minimize conflicts, redundancies, and inefficiencies
Respond to problematic data issues with the necessary resources, recommendations, and
approvals for remediation
, Data Governance Tools - correct answer ✔✔Internal policies and procedures for handling,
coding, processing, and analyzing data that the organization creates, acquires, and uses
External policies and procedures, such as standards and guidelines, from other organizations or
compliance sources
Enterprise data models, which describe data relationships and interdependencies—that is, a
view of data across the organization
Collaborative tools such as agile project management programs that can capture discussions
and documents, facilitate workflows, log communications, maintain calendars, and share the
status of processes with stakeholders in real time
Data Quality Principles: Appropriateness - correct answer ✔✔Is the data appropriate for the
intended objective? In some cases, current and historical data may be relevant. For example, a
previous business loan offering may provide some pertinent historical information for the bank.
Sales history of similar products in the UK may help pinpoint geographic targets.
Data Quality Principles: Reasonableness - correct answer ✔✔Data is deemed to be reasonable if
it has already been checked, verified, or audited. The materiality or relevance of data.
Data Quality Principles: Comprehensiveness - correct answer ✔✔Data is comprehensive to the
extent that each dataset contains all elements necessary for business needs. Does the software
company have the demographics for each target city? Are the resources in place to ensure
delivery and support of the applications?
Data Quality Principles: Material limitations and alternatives - correct answer ✔✔If a
geographic target has limited prospects (based on analysis of prospect size and need), the
software company may need to find an alternative city or defined territory.
Data Quality Principles: Sampling Methods - correct answer ✔✔Sampling may uncover invalid
or inaccurate data and facilitate prevention or necessary adjustments.