DWEM Hospitality

The Big Data platform for the collection, technical manipulation, integration, processing and analysis of structured and non-structured data

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Contents of the DWEM Hospitality solution
The unique Big Data platform for the collection, technical manipulation, integration, processing and analysis of structured and non-structured data necessary to the hotel business for day-to-day operational work contains the following solutions:
Solution architecutre
The Big Data solution for price comparison

    DWEM Price Comparison is a unique, customized service, providing hotels with a continuous comparison of their own prices with current prices and other attributes being offered by competing hotels at any point in time.


    DWEM Price Comparison tracks all data from OTAs and individual hotel websites and processes it in its Big Data analytical database, presenting them through responsive web-based user application or by sending data in scheduled reports via e-mail in the formats of user choice (.xls, .xslx, .csv, .xml, .pdf, etc.)..

    User is enabled to perform administrative tasks, such as: define owned and competitors hotels and create various competitive sets; mapping room and service attributes to the respective ones of competitors (for example: room type, hotel services, etc.); defining user privileges; schedule report distribution.


    Unlike other price comparison tools and platforms available on the market, DWEM Price Comparison, beside OTA (Online Travel Agency) sites, ensures possibility of comparing prices on individual hotel web sites. Based on historical prices and guest reviews, empowered with predictive models, DWEM Price Comparison ensures hotel managers to understand and predict optimal pricing for specific accommodation type taking in account competitors prices and seasonal fluctuations on market during chosen period of time.

    The user is able to adjust all of the individual parameters of the service, for example: # of OTA sites, # of individual hotel web sites, # of hotels to track, # of persons, # of length of stay variations, check-in time horizon, data refresh rate, # of application users, etc.

  • Fill your hotel to capacity

    Generally, prospective guests use different platforms and methods so as to find the best accommodation offer. Their decision to make a reservation will be influenced not only by room price, but by other conveniences offered. For this reason, the DWEM Price Comparison service offers users not only the ability to compare accommodation prices; it tracks and compares other attributes which make up an individual offer – with the aim of ensuring quality support before you come to a decision on your own prices and offers.

  • Increase profit

    Getting to know the competition, how and when they change their prices, what their reservation cancellation policy is, what additional benefits they offer their guests and so on – all this is information which, ultimately, helps you to formulate the best and most competitive offer. Via the DWEM Price Comparison service it is also possible to bring into play the capability of dynamic price positioning, which is based on algorithms you can determine yourself, automatically defines the best possible accommodation price, and will maximise your income and profit.

  • Convert potential into customers

    When searching for accommodation and looking for the best possible offer, prospective guests will visit well-known global reservation platforms, individual hotel web pages or use price comparison tools. As soon as they arrive at the right combination of price and other parameters (inclusive services, payment method and so on), their decision to make a reservation will be very rapid. The DWEM Price Comparison service is designed with this in mind – offering support for your business so that it can keep a step ahead of the competition at all times.

Examples of potential price comparison parameters
  • Number of guests
  • Length of stay
  • Room type
  • Room orientation
  • Type of service
  • Reservation cancellation policy
The Big Data solution for monitoring online reputation


DWEM Reputation Management has a range of functions essential for hotels to identify immediately any adverse changes in online reputation, as well as a unique communication interface for direct response to guest comments.
  • Big Data platform
    The collection and processing of vast amounts of data from web sources and internal databases and systems
  • Machine learning
    Recognising text, key words, sentiment and language – the system interface learns from its users
  • Early notifications and alerts
    The system warns users quickly of the appearance of negative comments, a fall in overall rating or similar. The alert appears directly on your system or is sent via e-mail or text message.
  • Customer interaction
    The application interface makes possible a direct reply to guest comments on OTA pages and social media.
  • Employee collaboration
    The potential for direct collaboration among system users within the same application
  • Advanced intuitive analytics
    Advanced intuitive analytics make available a wide spectrum of available information at first sight, so you may get to the causes of potential problems and comprehensively and effortlessly manage your reputation, with the help of a visually rich display with built-in functions.
  • Filtering and drill-down analysis
    Every available piece of information can be studied in detail through the ability to ‘drill-down’ specific information to the level of the individual data source as well as filter information by all available attributes.
  • GIS analysis
    Reputation analytics in integrated, interactive charts with the goal of detailed geographical analyses.
  • Data export
    Data export can be in pdf or Excel format.

KPI examples

DWEM Online Reputation Management contains a large number of indicators on the basis of which hotel companies may monitor in detail all the most important information about the state of their reputations in the internet environment. The following are a selection of these:
  • Hotel score compared to competitors
    A comparison of the hotel’s overall rating to their competitive set
  • An index of changes to the hotel’s rating change
    % change of the hotel’s overall ratings through time along with rating fall alerts
  • Sentiment according to type of guest
    Relation of sentiment to type of guest (single, group, family, business…)
  • Sentiment according to room type
    Sentiment rating according to room types in which the guest stayed (for booking.com)
  • Overall sentiment
    Overall sentiment rating on all online data sources and all time scales
  • Most negative comments
    Summary of most negative comments
  • Most influential comments
    Summary of most influential comments which provoked the most positive or negative reactions
  • Sentiment by guest nationality
    Relation of sentiment to guest nationality
  • Sentiment trend
    % growth/fall of positive/negative sentiment in relation to same period considered during previous years
  • Sentiment by source
    Positive and negative sentiment display according to data source
  • # of unanswered comments
    # of unanswered comments from the day before or any given period
  • Most frequently mentioned terms
    A list of the most frequently mentioned terms or words linked to the hotel
Data sources
Innovative Business Intelligence/Data Warehouse solution

What is DWEM Data Modeler?

DWEM Data Warehouse Modeler is an innovative application solution intended for the rapid development and implementation of Data Warehouses and analytical systems, developed by our leading business consultants and development engineers. Its strength manifests itself in its number of developmental functionalities, necessary for the production of Data Warehouse data models and automization of the ETL process, as well as the application possibilities and use of the best business and reporting practice for single users or the industry as a whole.
  • Data Warehouse
    A robust Data Warehouse, based on a relational data model
  • Data model
    The Data Warehouse model covers all aspects of the hotel business and enables the highest level of analytics
  • Extractors
    Ready-made data extractors for ORACLE OPERA PMS, as well as POINT ERP, Pantheon, MS Navision and so on. They enable rapid implementation of the Data Warehouse information and BI system in just a few days.
  • Reports, dashboards, analytics
    A set of ready-made reports, dashboards and analytics which ensure an insight into all sectors of the hotel business. For business users this enables the production of whatever reports are required, based on some of the predefined BI technologies.
  • Cloud/on-premise
    The solution can be implemented in a private user cloud or personal user infrastructure
The online solution for in-stay and post-stay surveys
  • Campaign production and management

    The production and management of individualised campaigns which may be implemented in any sort of management structure, to a specified timescale and even brought down to the level of the room, bar, reception desk and similar.

  • Access via all devices

    The possibility of campaign access from any kind of device is developed in responsive web technology. The campaign is accessible via QR code or direct link provided for the guest.

  • Analytics

    Analytics of individual campaigns are instantly available in the tool and within the DWEM Hospitality solution. The individual user may receive the questionnaire results by SMS or e-mail in real time.


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