The importance of data repository in impact analysis

Handling the change in business processes is one of the most difficult tasks faced by the large corporates, as the impact of change is unpredicted even after the change management team follows the standard process diligently to measure the impact of change in business process. Thus, making it more tedious and time consuming leading to the competitive disadvantage over small companies. On other hand, the small companies, including start-up have advantage of being agile in handling their business process changes effectively and creating a sizeable hole in their competitors who are large businesses providing combined and complex business solution. Although not noticeable initially, but it is creating an impact slowly and steadily. For example, mobile app companies or crow-funding companies are making their presence felt against large corporations.

The process would be less challenging, if the current common practice of using a commercial tool that uses fragmented data on change history to measure the impact for a change in business process were done comprehensively. For that, the common practice of maintaining the impact data as part of project files categorized under change management or requirement management and/or configuration management needs to be changed. Because, analyst or concern person who is incorporating the impact data in the analysis is mostly retrieving and processing it in manual or semi-automated way mostly using latest few versions based on analysts’ analytical ability and business expertise’s recommendations. The manual retrieval and large data in impact analysis could lead to an uncertain situation or incorrect result in future.

However, considering the frequency and urgency of change implantation in business-IT process, it would be recommended to use the automated tool to create a repository of change and compute its impact analysis to deal with fast paced dynamic business environment to stay ahead in the competition.

There is a real need for a tool that can provide a repository of complex mathematical calculation, business process and complete history of impact of changes to predict the impact in future change using various mathematical and technical calculations based historical data on change management. In addition, it can also use the human the ‘human workflow’, dealing with roles, task, emergencies, and exception related details for decision-making process and product life cycle (single and collaborative), virtualization mark-up, and collaboration internal and external business data for creative effective engineering for change management process.

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