We analyse the travel and hospitality market, companies, organizations in terms of their product, services, place, market structure, suppliers and brands, distribution, promotion and other strategies through company data such as annual reports or through their websites, trade and industry bodies, directories,
We use internal data within organizations, libraries (journals, newspaper, directories, clippings, reports, government statistics, EU statistics, industry statistics, atlases, dictionaries, books on produces and processes), trade associations, government departments, exhibitions, online databases, blogs, forums, and social media to collect relevant company and industry data.
Desk research highlights gaps in knowledge, and it is extremely valuable in the initial phase of research
Explore travel and hospitality research needs in the area of online traffic communities, application of information technology in tourism, big data and analytics, digitalization, and many more when needed utilizing a number of sources and advanced secondary research techniques (desk research, interviews of SMEs, surveys).
Conduct in-depth research on geographic and/or horizontal segment trends, competitors, industry market trends and issues, and relevant technology.
Our expertise has an understanding of quantitative and qualitative research skills, with the ability to synthesize findings from case studies, analysis of survey data, regression analysis, expert interviews etc.
Our analyst team write reports, points of view, articles in journals blogs, develop insightful case studies, design questionnaire, analyse data, runs regressions and time series analysis.
Based on the given source of data, we help you to design a business research question and develop appropriate hypotheses. Along with it, we develop a step-by-step rigorous methodological framework for processing and analysing large data.
We develop standardized questionnaires, interview guides, instruction manuals, and survey tools required for hospitality research. We also design survey programming, host, collect data and manage the survey environment.
We collect primary data through a web-based questionnaire, GPS location data, matched with social media data in travellers’ smartphones, secondary data, i.e., user-generated content (UGC) from travel blogs online travel reviews,  to collect visitors’ experiences, opinions, perceptions, behaviour, appraisal of places, attractions, activities, products, and services.
We also collect photos posted by hotel managers and travellers, Flicker , Pinterest, Instagram and other social media photos and offer marketing using visual assets. Travel narratives of destination experiences of travel bloggers
We use data scrapping methods to collect the required information. Before handing over the data, we do pre-process and filtering.
Make your data meaningful – the process of data labelling and classification. We add meaning to data. Our audio, video, image, and text annotation services deliver the valuable information you need for building, training and testing your machine learning algorithms.
With our subject matter expert, high-quality linguistic and semantic annotation solutions enable machine learning algorithms to perform better with accuracy.Â
The Data Science team at Statswork develop unique deep learning algorithms (DNN, CNN, deep residual networks, reinforcement learning and recurrent neural network, long and short-term memory, and autoencoders, among others)
Our experts not only develop algorithms but also analyse its performance in comparison to standard algorithms through various metrics such as sensitivity specificity by plotting a receiver operating characteristics
ML has been applied basically as an automated and cost-effective. However, such a technology is not without challenges such as memory complexities, uncertainty, mobility, traffic and the intricate behaviour of ML algorithms
Based on the specific business question, we analyse your data and provide descriptive, explanatory, predictive or prescriptive analyses. Whether it’s related to management and revenue estimation (such as booking systems, product development, resource demand forecasting, tourism company feasibility analysis) or profiling and recommendation systems, or tourism demand forecasting or weather forecasting and environmental risk assessment, our team develop and analyse using ML algorithms.
Our team of experts can handle any type of analyses techniques, including trajectory indexing, outlier detection, speech analysis, hybrid techniques, topic modelling techniques, textual metadata processing, sentiment analysis, ML techniques, including clustering algorithms to examine people’s behaviours and deep learning models.
Although visualization such as pie charts, bar graphs, timelines help to present your data, your entire tourism and hospitality report does not really need all visualization but instead require some form of a written report
We prepare a data analysis report based on different audiences (primary audience, secondary audience).
The report conveys the main features clearly and follows a logical progression with as little jargon as possible.
It will answer the research question posed and requires providing strategic recommendations that result from the data and analysis.
We help you to prepare reports and presentations that balance words, tables, and graphs.
At StatsWork, we offer a professional presentation of your tourism and hospitality data in the form of Powerpoint, word document or in PDF. Designs are easy to interpret and graphically presented in a manner that is easy to understand and interpret.
Our coders develop code that would generate charting and reporting according to the layout specified.
The statswork team, in coordination with subject experts and graphic designers and along with engineers, discuss the research questions that needs to be addressed and present the findings that clearly communicate or answers the research questions.
Besides, StatsWork also offers other types of presentations such as posters, panel exhibits, charts and videos.
Menu Engineering for Satisfied customers and maximum profits.
Customers who are looking for booking travel tickets might look for better offers across all the sites. This doesn’t mean that customer choose one with a better offer and doesn’t care about UI/UX and customer services. We at statswork provide better solutions for customer engagement and decide which UI design to use so that it attracts customers to booking sites. We also provide chatbots as the customer service for websites, which gives a better performance than human interaction and reduces human errors.
Understanding Destination competitiveness
Our team of data science experts uncover the factors that influence the competitive position of your country of destination.
We account tourists, service provider, other economic and non-economic perspectives perspective and apply various frameworks and models in measuring competitiveness (e.g. Data envelopment analysis, LISREL, SERVQUAL, SEM, Porter’s Diamond, Hotel Performance Measurement Framework)
Data analytics using Diagnostic and Predictive analytics the Statswork team will predict the outcome.
