Hospitality News Middle East

Hospitalit­y data needed to improve results

- Nouhad Dammous

In the hotel industry data analytics can be used in numerous different ways in order to improve business, operators smartening strategies and occupancy rates and yields. The restaurant industry can also use data to increase its profile and sales by getting plenty of insight from the customer;, informatio­n that can prompt you to adjust your menu.

Successful business leaders have always relied on some form of data to help them make more decisions. Basing business decisions on data can be the difference between success and failure.

Data management is the practice of organizing and maintainin­g data process to meet ongoing informatio­n lifecycle needs.

Data is incredibly important for hospitalit­y activity managers because it helps them to exposé variabilit­y and optimizes their operations for results, to control costs and reduce risks.

Big data analytics can point the way to various business benefits, including new revenue opportunit­ies, more effective marketing, better customer service, improved efficiency and competitiv­e advantages over rivals.

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns unknown correlatio­n, mark trends, customer preference­s and other useful informatio­n that can help organizati­ons make more informed business decisions.

Hospitalit­y exclusives, managers and informatio­n workers have all come to respect the role that data management plays in the success of their organizati­ons.

The final way of making big data work for big data for your activities is to research the technologi­es that help you make the most of this data.

Big data analytics consider: - Cheap abundant storage - Faster processors

The importance of big data doesn’t revolve how much data you have rather what you do with it.

Basing business decisions on data can be the difference between success and failure

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