Summary on the secret sauce of SaaS
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The article by the title “The secret sauce of SaaS” by Wayne Morris provides crucial information about advances in technology and its effects in the business sector environment. Initially, businesses were depending on traditional Business Intelligence (BI) for data analysis in their enterprise. There is a lot of credit to traditional BI in terms of strategic data analysis among business managers. Due to the emerging of massive data analysis with organizations, the traditional BI became less effective in improving business performance beyond data analysis. Hence, there was a need for better software to handle many companies’ vast data while ensuring improvement in enterprise performance. Therefore, a hybrid software-as-a-service (SaaS) application was created.
The new breed of SaaS-based performance is a software application that enables an organization to increase efficiency, increase the production process, and save money. The main advantage of SaaS compared the traditional BI is that it is easy to deploy and implement (Godse & Mulik, 2009). SaaS is also compatible with various systems and processes, thus increasing financial income by connecting between show cause-and-effect with operational metrics. SaaS is also able to handle, store, and convey massive organizational information to the relevant stakeholders. Moreover, Saas is capable of embedding organization expertise and checking across the value stream.
In checking across the value stream, SaaS enables an organization to monitor the series steps that an enterprise uses to create a continuous and reliable flow of goods and services to clients. Saas can monitor activities within the organization employees’ activities systems, suppliers, and customers outside the business enterprise. Therefore, it can monitor Overall Equipment Effectiveness (OEE) and enterprise metrics, for instance, on time in full shipments. SaaS can also analyze data concerning crucial metrics such as data on the product returned from clients, ability, and timeliness to meet demand and vendor-related quality issues. Therefore, the SaaS model is an outstanding tool for gathering and analyzing information about employees, clients, and chain supply.
Integrating SaaS with appropriate organization expertise and best practices, methodology knowledge, and value stream leads to improvements in the enterprise’s human resource performance. Incorporation of SaaS in metrics that ensures improvement like Lean processes provide employees with the knowledge to handle relevant metrics such as cycle time. Employees can acquire knowledge on providing top management with recommendations if a particular metric is not meeting the intended target.
Key performance indicators (KPIs) customized to every employee leads to performance improvement where human resource is equipped to analyze relevant business metrics and provide a recommendation based on an informed decision (Seethamraju, 2015). Authorized stakeholders of a company can obtain the enterprise data regardless of their geographical situation and hence able to solve an organization’s crisis timely and effectively.
In conclusion, small and large companies need to take advantage of SaaS to improve business performance by incorporating SaaS in the organization management system, allows an enterprise to analyze and understand massive data. Top management in an organization can make quick and informed decisions based on the SaaS model.
References
Godse, M., & Mulik, S. (2009, September). An approach for selecting a software-as-a-service (SaaS) product. In 2009 IEEE International Conference on Cloud Computing (pp. 155-158). IEEE.
Seethamraju, R. (2015). Adoption of software as a service (SaaS) enterprise resource planning (ERP) systems in small and medium-sized enterprises (SMEs). Information systems frontiers, 17(3), 475-492.