The Impact of Supply Chain on Business Intelligence

“The Impact of Supply Chain Management on Business Intelligence” Article Review
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“The Impact of Supply Chain Management on Business Intelligence” Article Review
Statement of Author’s Purpose
“The Impact of Supply Chain Management on Business Intelligence” article by Lanois and Chauvel (2017) focuses on the relationship that exists between business intelligence (BI) and supply chain. The latter has a profound impact on the former particularly when it comes to private companies. The supply chain is an intricate process that runs from the first supplier to the last consumer and in which case, a lot of data sample is involved and analyzed for the company’s efficient operations. When this case, BI ought not to be perceived as an independent component from supply chain management (SCM), instead of acting as an extension of SCM. Thus, the two are inseparable. The subsequent discussion offers an in-depth analysis review on the article published by Lanois and Chauvel on the impact of SCM on BI while also offering broader knowledge on these aspects from other experts in the field.
Application of SCM Theory Relevant to Article
According to Van der Vorst (2004), SCM incorporates intricate planning, coordinating, and controlling of all businesses processes and activities in the supply chain (SC). The goal of these interconnected procedures is to guarantee the customer optimal utility in regards to value at the least possible cost. On the other hand, the firm also seeks to meet the interests of other stakeholders in the entire process such as the government and non-governmental organizations (NGOs). The SC is never easy as it sounds because, at times, organizations are compelled to work together to meet various customers’ demands. In other cases, competition has gone a notch higher from the usual firm against the firm to SC against SC. However, the best approach for a business to articulate its business responsiveness arises from meeting its own operations. Optimizing value from SC requires an undaunted approach in defining the various SCM metrics and improvement options.
In the traditional system, businesses used frequently conflicting data from their Information Technology (IT) department to articulate their precise financial position beside their next step (Batori, 2010). However, with the SC becoming a more complicated process that integrates much more data, then businesses have a greater responsibility to adapt to the new demands. Change is the only constant in the present business environment. BI accommodates the use of various technology and software with the intent is to help the management make vital tactical and strategic business decisions. BI facilitates the organization of the immense group of data drawn from the SC process. Furthermore, Lanois and Chauvel (2017) perceive BI as a technical software that can be used for extraction, transformation, and loading (ETL). In this instance, data is collected for analysis purposes. In the quest to solve analytical problems, BI through the online analytical processing (OLAP), is applied in making forecasts as well as unearthing hidden patterns in data.
Background of the Issue
BI has be...