Business Bulletin integrates innovative data processing and language technologies, text mining semantic modeling, multilingual clustering, summarisation methods and machine translation. Graze’s platform which provides Business Bulletin service constitutes a complete end-to-end Big Data solution that can be configured to support the data processing needs of your organisation. The platform can be easily integrated within the data management solutions software of your company.
Via Business Bulletin every new piece of information similar in the context of your business will reach you on a mobile device or a desktop instantaneously. The content comes from the media stream, social media, industry discussion forums, blogs, corporate websites and other high-volume data.
The platform queries 1840 information channels, providing 31 000 articles totalling 15 500 000 words daily, runs search through Google and Bing search engines every 30 min, performs Twitter search with 350 000 tweets per minute. It then runs linguistic analysis on the search results to provide you with content concerning your business in realtime.
• the collected information can be further analysed, explored and turned into a business asset:the collected content is indexed for full reference and search capabilities;
• reputation management tools process content to show the company’s standing;
• statistics in Graze show the dynamics of the relations between enterprises and topics over periods of time;
• algorithms for event detection, prediction, decision making can be implemented and run upon request;
You contribute personally as you build your topics of interest to target information related to your specific business needs. Business Bulletin widens the scope to include data about trends, markets and scientific achievements within your industry.
Business Bulletin runs a search for your content from data in languages that you do not speak. The news life stream gets translated automatically by the solution to give you direct access to all information on the spot.