Data & Analytical Models
Rapidly cross-referencing and analyzing an organization's
processes against regulatory requirements and best practice
frameworks is a critical component of any transformation
assessment. Mapping those varied elements to an
organization's roles, skills and responsibilities can only be
efficiently accomplished with a robust data and analytics
model.
Evaluating enterprise IT processes should
begin with creation of a clear 'baseline' of the current
process and control environment. To establish the baseline,
the relationship between procedures, standards, roles, skills,
best practices, regulatory requirements must be
explicitly defined. Once defined, the baseline is used
to complete a 'gap analysis' of an organization’s process
and control hierarchy through a capability maturity assessment
process.
Bottom line: The Control Origins team
leveraged deep experience in processes and industry
best practices as well as cloud-based application
development and hosting to build a modeling framework
accessible through web-based, mobile or 'stand-alone' windows
user interfaces. Web-based user interfaces can be
cumbersome and ineffective for data collection across complex
data domains (applications, roles, skills etc.). Data
collection, data analysis, data visualization
and relational evaluation is tailored to the most
effective approach for the data domain being analyzed.