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Wednesday, 22 September 2010 22:53

Impact Analysis

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Impact analysis uses one or more matrices to infer (that is indirectly identify) what things might be impacted by a change. So, you can show the relationship of processes to other things, such as: strategies, documents, decisions, or systems in a matrix. The processes are the rows and the columns might be documents (or any other model type). The matrix would show what processes use which documents.

Using impact analysis, for example, you have several matrices. One matrix has “Strategies” as rows and “Processes” as columns and another matrix has “Processes” as rows and “Systems” as the columns. This is accomplished by using the linkage of a “Strategies-to-Processes” and “Processes”-to-“Documents”. As an analyst, you can see which “Systems” would be impacted if a change is made to “Strategies”.

Since we are limited in how much we can spend in money and time to gather the information directly, this is technique is very useful. You could gather material that shows what strategies are related to systems but it is not obvious nor is it easy to gather. It is easy to gather the material on which processes support which strategies. This is often done as part of a strategic planning exercise. You also can find out which systems support different process since often IT has that material. With the use of inference technique, you can easily identify which strategies impact the most systems, document etc. So, when management contemplates a change in strategy, you will know how much effort it will take to align the business with the new strategy. Today, in most businesses, the assessment of impact is just a good guess often done by consultants.

Read 9822 times Last modified on Tuesday, 26 February 2013 18:28

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Emerging AI and ML Capabilities, Enabling the Informed Manager and Analyst
Recent advances in AI/ML analytics provide better insight into the information that managers and analysts rely on when making better decisions. The use of machine learning analytics by managers is best enabled when managers and business analysts have access to AI/ML knowledge, methods, techniques, and tools easy to use.

Essential Management Analytics, Four Key Business Analytics for Managers
Recent advances in analytics provide better insight into the information that managers rely on when making better decisions. Management performance is closely tied to the results of the decisions made by managers. Performance is best enabled when managers have access to tools and methods that are easy to use, apply to a problem or issue, and make sense for the tasks a manager executes.

Effective Strategic Alignment, Anticipating Strategy to Execution Impact
Change inside the organization and external to it must be assessed. Effective and productive managers should have the knowledge and skills to apply analytics using a systematic and structured method for alignment.

Effective Business Transformation with AI/ML, Leveraging Artificial Intelligence/Machine Learning
Rapidly changing technology such as the current wave of AI/ML can create chaos in an organization and a tendency to select large projects that fail. The reason is simple, it is not clear where to connect the AI/ML capability to the organization. Identifying points of value in applying these capabilities is essential to successful value achievement.

Look for topical videos and outlines for these courses in Resources on the KCI website and ‘Innovrto.com, Upcoming Training’ for dates.

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