The Big Data solution for monitoring online reputation in all industries
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 structured and unstructured 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 client comments on social media, forums, blogs, etc.
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 MS Excel format.
DWEM Online Reputation Management contains a large number of indicators on the basis of which 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:
Overall sentiment Overall sentiment rating on all online data sources and all time scales
An index of sentiment changes % change of the overall sentiment ratings through time along with rating fall alerts
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
Top 10 positive keywords The most positive keywords that are related to the company, brand, product, etc.
Top 10 negative keywords The most negative keywords that are related to the company, brand, product, etc.
Most influential comments Summary of most influential comments which provoked the most positive or negative reactions
Geographical sentiment analysis Relation of sentiment by geographic locations
Try ALFATEC Group solutions for different industries.