The IT and Business Operations Audit
Is data complexity impacting your ability to innovate?
Organizations often struggle with a vast amount of data sourced from a complex array of systems and processes. This can create an extremely complex and difficult environment that becomes resistant to change.
The IT-BO Audit is designed to help organizations reduce complexity enabling them to implement positive change.
What the IT-BO Can Do For Your Business
The audit makes it easier for users to access to clean, contextual information making it easier for the organization to ask questions of its data
Ask New Questions
Due to the unique way in which data is captured, the audit creates opportunities for the business to ask questions of the data they were never able to ask prior
The audit creates a map of the moving parts of the business - the people, process and technology. Armed with map, the business can perform the analysis required to implement change
The audit can reveal problems that may exist in data collection or find issues within the business processes that might create gaps in insight. It answers the question: Can we even do this with what we have today?
Improve Data Quality
The audit takes advantage of Process Tempo's ability to make data easier to access. This often exposes data quality issues which have gone undetected allowing the team to correct them
The crowd-sourced approach to problem solving and the ease of use of the Process Tempo platform enables cross-department efforts and fosters greater collaboration
What does the IT-BO Deliver?
The IT-BO Audit is focused on removing complexity and producing insight. The goal is to help organizations implement transformative change in a safe and efficient manner. To achieve this, the IT-BO Audit produces the following deliverables:
The Knowledge Graph
The Knowledge Graph is the main deliverable of the IT-BO Audit. It represents a comprehensive map of the people, processes and technology that the use case requires or impacts
The audit focuses heavily on exposing key metrics for analysis and discovery. Impact Analysis, SWOT Analysis and Network Analysis are just a few of the type of analyses performed during the engagement
A Common Glossary
Curing data complexity is only part of the problem. Mapping the diverse set of terms used across the business is also important. The audit also produces a common business glossary which can be carried forward after the completion of the audit
Data Lineage Models
Untangling how data is produced, how it is processed and where it is consumed is critically important for organizations wishing to make smarter, data-driven business decisions. The data lineage models produced as a result of the audit can greatly improve future transformation efforts
The Ownership Model helps organizations understand the stakeholders involved with the objects in the Knowledge Graph (data, processes, servers, etc). This is important when trying to implement change it answers the question: Who is impacted by this change?
Process Maps link the various parts of the business from a process perspective. Transformation efforts greatly benefit from this understanding. These maps form the foundation for 'as--is' and 'to-be' analysis