Marchand and Peppard study the operation of over fifty multinational companies. Researchers examine various methods of using big data to evaluate projects and analyze the impact of analytics on data. The focus of the paper is on discovering other uses for data beyond simple use (Marchand & Peppard, 2013). Peppard and Marchand explore alternative ways to use data. Marchand-Peppard’s method is unique in that it views information as a resource and requires human intervention to make it useful. This idea is different from that which considers information to be a resource that is stored in databases. It is essential for the operation and construction of standard IT networks.
The paper focuses on understanding fabrication and data use as the two most critical topics. Understanding the structure and use of data is a key skill for team members. It is important to distinguish between large IT projects that are analytics or traditional. These can be defined as execution plans and milestones. The results of the project will also be discussed. Lastly, analytics and big data are more similar to empirical research than to projects (Marchand & Peppard, 2013). It is the initation of analytics projects that can identify potential obstacles and possible options. Many IT initiatives start as a result of an employee’s suspicion. This is expanded to become an IT project.
The lesson learned is that knowledge acquisition in a company is much more likely when there is collaboration and teamwork. Therefore, it is important for companies to foster collaboration. Second, companies must reevaluate their commercial goals by creating and assessing hypotheses in order to analyse the unknown and known limitations. The third lesson is that analytics is built on identifying significant patterns and correlations in data, such as causative factors that produce certain outcomes (Marchand & Peppard, 2013). Organizations are encouraged to ask more than just the usual indicators. They should also be asking questions that reveal the root cause of the issue.
The Best Methods
This article discusses IT project risk management best practices. IT project management tends to be flexible and accepts risks. This allows for the mitigation of dangers as well as the facilitation of creating new structures. Smaller programs may focus on business-related issues. A second lesson learned from this paper was that, in order to obtain meaningful information, an additional resource is required. The optimal technique is to provide a setting in which workers may use their intellectual ability and the organization’s data to improve performance and functioning (Marchand & Peppard, 2013). The third strategy is to create an environment that encourages trust and transparency. This environment will encourage the exchange of information and new insight production.