The expertise in the travel industry and the vocation for research and statistics represent the union for creating business intelligence projects for travel operators.
Thotstat makes available to the companies established scientific skills and a multi-year experience in indirect purchases.
By analysing reliable databases and benchmarks drawn from broad and up-to-date sources, as well as thanks to predictive-type analytical reports, Thotstat helps the airline, railway and cruise companies to understand the purchasing behaviour of the travellers and to anticipate the fluctuations of the market.
The analysis of the data, through methods and algorithms implemented ad hoc, highlights all the variables that occur in the processes of offer, purchase, revenue, etc.
There are many factors which can be monitored in specific reports, such as the sales prices, the traveller’s willingness to pay, the competition, the market characteristics, the impact of advance booking and the no show of the traveller.
If the company is able to choose the right tool, that can be used to gain control of the whole market, this tool will be essential to make strategic decisions.
The support of revenue management, the evaluation of new destinations/routes, the specific analysis also for individual product lines, including ancillary lines, are additional elements of value which complete the Thotstat offer.
Thotstat provides historical and predictive analytical reports, solutions which make it possible to reveal, understand and capitalize the competitive advantage of the companies.
Thotstat’s innovation is also in the statistical approach to the analysis of the data. With important experience gained in the field of consumer model analysis, Thotstat’s professionals apply inferential techniques to identify: strengths and areas for improvement, drivers and their impact. Understanding where to act and which behaviours to change in order to have significant effects makes it possible to change from simple administrative reporting to the active management of the company. The information of the KPIs following the statistical approach and the inclusion of predictive elements, in fact, makes it possible to differentiate possible strategies, measuring the risks and the possibilities of intervention.
Thotstat’s data analysts conduct exploratory, descriptive and causal research. They design, deliver and process sampling and censual research activities, with CATI, CAWI, CAPI, and CAMI methods. They create focus groups and surveys with Delphi methodology to provide complete and shared solutions.
The team conduct feasibility studies outlining the original situation, analysing possible risks and the benefits that can be obtained until concretely structuring the projects. Some of the processes used in feasibility studies are:
- assessment of investments;
- decision trees;
- SWOT Analysis;
- simulation of scenarios;
- positioning analyses.
Thotstat conducts demographic, social, economic, corporate and financial, etc. data analyses with the most commonly used statistical software applications offering the airlines, railway, sea transport and car hire companies customised solutions. It has specific expertise in the travel sector and in indirect purchasing. It uses external databases to build benchmarks with a very high level of reliability. It analyses consumer and spending models and the pricing techniques, providing descriptive and predictive reporting.
Thotstat provides business intelligence support for analysing complex databases and designing mathematical models to control final and predictive data. It offers detailed expenditure and behaviour reports. The Thotstat method represents the new frontier in data analysis since it uses new reading and KPI models based on the measurement of the risk.
Thotstat builds personalised models for identifying trends and providing highly reliable forecasts, starting from the analysis and segmentation of historical and market data. The predictive models make ample use of the inferential statistical techniques, the risk analysis and the analyses of scenarios (what-if) assigning probabilities to the scenarios.
Thotstat’s reporting is a high value-added product for companies. It organises the travel data and the database supplied by the transport companies to develop the consumer model of customers and all the direct and indirect incentives which could influence it. Thanks to a pyramid structure, it makes both the key points and the details of the spending behaviour legible and communicable in a simple way by comparing them in time and space. This reporting tool is the expression of the evolution of the data analysis according to Thotstat’s statistical approach. For example, in the travel field we can break down the change in spending in all its parts: price, travel, travellers’ behaviour.
From the big data of the airline, railway, sea transport and car hire companies and their analysis, Thotstat processes the interactions with clients in order to measure and optimise the customer experience in all the sales channels. The analysis performed makes it possible to connect the customer-focused strategies and the business objectives. The solutions given are based on a proprietary, flexible and personalised technological platform.
Training and advice
Thotstat’s specialists give advice in companies and organise professional courses on report processing techniques and on complex databases analysis methods. They give support to transport companies in the detailed analysis of the various elements of organisational and productive processes, of the offer and of the company consumption model. Their intervention makes it possible to maximise the analysis and forecasting capacity and to identify possible incentives to optimize the offer, revenue and processes. They provide travel intelligence communication methods.
Process and Data Quality Certification
The scientific committee, which also includes University Teachers, is another expression of Thotstat’s vision and mission. The objectives of the involvement of Universities are:
- to have the travel data methods and analysis certified by an impartial certifying body.
- to explore all the possibilities available for turning the data into information by maximising the content of any statistical summaries.
- to make the information usable by the companies, suggesting the interpretations simply and at the same time accurately and innovatively.