Business Intelligence (BI) denotes the practices, applications, and technologies for the examination, integration, collection, and demonstration of business information. Its primary purpose to most businesses is to enhance superior business resolution making. Due to the variations of a select BI tool, understanding of essential features to your hotel is crucial. It involves leveraging the Business Intelligence to expand performance. Identification of vital elements in the device is evident from the recognition of current gaps in the hotel’s existing BI capabilities (Hoffer et al., 2009).

Sisense, an example of a BI software, enables a hotel business to collect, examine and view data useful in reaching sound business conclusions. Users easily come up with essential data into a single dashboard to enhance functionality. It is an accessible platform to operate and ensures that operators study system navigation faster. Another critical feature in the BI tool is ‘Looker”, which is useful due to its intuitive competence towards data exploration. More so, its web-based edge is helpful in exploiting the hotel’s expertise (Hotel Online. 2018). For a competitive hotel owner, application of this tool in the select BI tool assists the team members to develop and share information instantly. Hence, it generally supports the business to boost its rationales and actions.

Sisense offers its clients ‘no surprise’ pricing regarding costs and takes it as pride. The case by the valuation of prices has the basis on every annual subscription. On the other end, Looker software takes its pricing in the form of ‘do-it-yourself BI’ solution.

How the hotel applies its business intelligence matters just as much as it is essential that BI takes a more holistic approach when looking at the hotel unit. The comprehensive approach includes the identification of the present premises, the vision of the hotel in the future, and how it plans on moving up front there. In developing an effective BI approach, the business needs to address certain fundamentals to avoid errors in the process (Hoffer, 2009). For instance, the firm should opt at determining the complete coverage for the BI strategy. Ask yourself as a team, what is the set scope of the plan? In this step, it calls for utmost clarity concerning specification on that which the plan covers and those that are left out. It is also important to recognize and set aside good management of all the stakeholders amidst the plan.

Of course, there is a chance that the technology can miss essential aspects of each sector. A good example is a dependence on disposition for every decision-making. In most setups, business leaders establish the tone for every team’s tactic to BI while at the same time pivots in either progressing or derailing the pre-set prospects of the plan. It directs mainly to those organization executives who opt to default to self-instinct decision making (Watson, 2009). They often have a reliance solely on expertise instead of emphasizing on analytic insights. It unswervingly adds up to the poor implementation of the BI plan is certain aspects of individual sectors.

Discussion Questions

1)    In the creation of either a single or more relative BI applications, is the target alike to the original DSS creation by the business itself? It is true that it involves a point solution for every need of a department but does it equals the original DSS productions?

2)    Do the effects fall upon the entire business in the making of infrastructure that assists the present and future necessities of the BI plan?

References

Hoffer, J.A., M. Prescott, and H. Topi (2009). Modern Data Management, 9th edition. Upper Saddle River, NJ: Prentice-Hall/Pearson.

Hotel Online. (2018, July 23). 5 Reasons Why Hotel Business Intelligence Is the Future. Retrieved January 20, 2019, from https://www.hotel-online.com/press_releases/release/5-reasons-why-hotel-business-intelligence-is-the-future

Watson, Hugh J. (2009) “Tutorial: Business Intelligence – Past, Present, and Future,” Communications of the Association for Information Systems: Vol. 25, Article 39.  http://aisel.aisnet.org/cais/vol25/iss1/39

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