Change is such a crucial instance in an organization, and there is need to ensure that it doesn’t affect various operations with the process. The only way to achieve that is the emergence of a sufficient adoption rate. People will always resist change due to its impact on the organization. For instance, a particular extent of change can result in individuals losing various positions within the premise. That will not get along with their demands since they will to cater for bills in most cases. Moreover, the dependency ratio is currently high in various parts of the world (Holsapple, Lee-Post & Pakath, 2014). Therefore, losing such opportunities in the workplace contributed to the high poverty level depicted mostly in developing work. The question that thus arises is the best approaches to deal with insufficient adoption rate. Carious solutions as outlined in the prompt can serve best.
First, there is a need for a high level of user involvement. How does this involvement look like? Ideally, there is need to let everyone in the organization be part of the change. The contemporary society keeps evolving (Chen, Chiang & Storey, 2012). As a result, businesses need skill related to analytics in planning. Most of these processes require the use of the latest technology. During my internship, it became apparent that skills are needed to meet the demands of the modern society. A barrier that arises to handle the processes effectively is the limited training (Seufert & Schiefer, 2005, August). It is therefore imperative for the organization to offer the right training to foster the adoption rate. It becomes possible to navigate through the sub-systems, and that still result in success at the end of the process. Business analytics is a new concept in the business domain and needs and integration of both hardware and software components for optimization. Involving the users as well as offering user training ensures effectiveness in handling the concern.
References
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: from big data to big impact. MIS quarterly, 1165-1188.
Holsapple, C., Lee-Post, A., & Pakath, R. (2014). A unified foundation for business analytics. Decision Support Systems, 64, 130-141.
Seufert, A., & Schiefer, J. (2005, August). Enhanced business intelligence-supporting business processes with real-time business analytics. In Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on (pp. 919-925). IEEE.
