Travel & Tourism
Simpson Associates helps Travel and Tourism organisations make sense of their data, helping businesses get more from their information to enhance customer satisfaction and drive revenue.
Our Expertise in Travel & Tourism
Technology is opening up more opportunities in the industry, including travel technology, flight and train tracking, and journey planning – which plays a bigger role than ever.
Big Data benefits the travel and tourism industry in many ways. Revenue management, management of reputation, strategic marketing, customer experience, and market research are all areas that can be positively impacted by the correct use of Big Data.
Simpson Associates understands the power of data and how important it is to be harnessed in the right way. We enjoy working in the Travel and Tourism industry and have most recently partnered with Great Rail Journeys, who embarked on a journey to find ‘one single version of the truth’.
The Travel and Tourism industry is collecting huge amounts of data from numerous sources including traditional statistics and archived data, internet click streams, mobile transactions, customer satisfaction surveys, and social media.Read More
Most Travel and Tourism organisations have a long trail of data, including reservations, inquiries, feedback and customer information. With better analytics comes the ability to gain more visibility and access to relevant information, and fast.Read More
The Travel and Tourism industry is collecting huge amounts of data from numerous sources including traditional statistics and archived data, internet click streams, mobile transactions, customer satisfaction surveys, and social media.
The emergence of larger, higher velocity and perhaps more unstructured data sources from the Internet or the Internet of Things is creating new demand from our customers. We’re being engaged to deliver an extended logical Data Warehouse architecture to support the data analytics software that is now emerging. The result is that these organisations will have the benefit of a centralised data repository, as well as an architecture that allows for agile discovery and analysis work to test new ideas, assimilate new data sources, and perform new analysis.
We build enterprise Data Warehouses for many of our customers, to provide a single-window for their business management information and key performance indicators; used as their trusted foundation for business decision making.
Most Travel and Tourism organisations have a long trail of data, including reservations, inquiries, feedback and customer information. With better analytics comes the ability to gain more visibility and access to relevant information, and fast. Data Science can be used to extract knowledge from the data that most travel and tourism organisations already have. No matter the volume, this information can be used to sell the right activity at the right time, based on, past, present and real time data. Big Data can be used to identify trends and help you prepare for future events and seasonal changes that may affect your sales and promotions strategy. While leveraging weather data has the power to help predict bookings and personalise offers.
We provide Data Analytics solutions that can be used for a more targeted approach to promotions, enhancing your customer experience by providing a more personal service. By knowing more about their needs, you can prepare relevant information that’s readily available when they ask. Our solutions can identify market trends that help you to understand who your customers or guests are, as well as what impacts their purchasing habits. This enables you to better plan your offers ensuring you reach out in a timely manner. With this level of insight, your business can improve inventory management and enhance customer experience, ultimately increasing customer satisfaction and driving more revenue.
Our expert team of data specialists can help you realise the benefits of Big Data, by providing you with the ability to make more evidence-driven decisions. This includes being able to anticipate future demand more accurately, optimise pricing strategies, target marketing more precisely, and improve the customer experience.