The process and strategy of discovering, analyzing, and controlling threats to an organization’s capital and revenues is known as risk assessment. Financial uncertainties, legal obligations, technical challenges, strategic management failures, accidents, and natural disasters are all potential causes of risk. A comprehensive risk assessment program allows a company to analyze all of the hazards that it confronts. Risk assessment and management also looks at the link between risks and the potential for them to  into an organization’s strategic goals.

The counter approach to handle internal and external corporate risks is called Enterprise Risk Management (ERM). Enterprise risk management (ERM) highlights the necessity of managing positive risk in addition to focusing on internal and external threats.to minimize all risk but to preserve and add to corporate value by making wise risk solutions.

How does your organization collect, share, mine, and analyze data to inform your stakeholders? This critical data analysis role forms the major part of business intelligence & reporting. Business intelligence analysis plays in accelerating progress in business data analytics in terms of ROI and performance gains and much more. It helps understand the structure and the dynamics of the company solving the problems in the target organization to maximize the value delivered.

1. Business Analysis and Monitoring:
Define the tasks and resource which are connected with the planning and management of requirements. 

2. Elicit Requirements through Data Discovery and Collaboration
Providing easy data discovery and easy to understand representation of data is a key service to all data repositories.

3. Drive the Life Cycle for Model Development:
It has five steps: inception, design, implementation, maintenance, and audit which includes execution of the risk management plan.

4. Develop a Data Strategy:
It should incorporate instructions to accomplish the data-based vision and guide the business for big data applications. 

5. Develop a Decision Model:
Business modelling is used to create the structure of current and future state of an organization to ensure that stakeholders have an accurate understanding of the current “As-Is” model.

6. Problem Identification and Analytics Solution:
Data crunching, analytical solutions and finding data-driven insights is a very significant part of business analysis and decision making.