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Moscow, July 26, 2019 – Innodata, a Russian developer of advanced Big Data analytics solutions, completed the ‘Online sales datamart’ (End-to-end analytics) project at PJSC Aeroflot. The system is designed to analyze online sales efficiency by merging data from various sources in a single data storage.

Moscow, July 09, 2019 - Nikolay Shevtsov, project manager of Aeroflot’s Information Systems Department, and Rustam Kildiev, Innodata’s technical director, delivered a report at TarantoolConf, a major industry conference on the use of in-memory computing for the development of fault-tolerant high-load applications. The conference, which was dedicated to the Tarantool DBMS developed by Mail.ru Group, was held for the second time. The conference was attended by software developers and representatives of various business sectors.

Studying customer feedback in social media is similar to analyzing requests received through any other channel. However, reviews posted in social media bypass employees and are published immediately. They often have a positive connotation, but most frequently the tonality of reviews and comments is negative. A brand new niche obviously emerges: the data flow is immense, and, therefore, the technologies designed for handling Big Data should be employed to analyze this flow.

Alexander Sergienko, Innodata’s executive director, described to the CRE.ru publishing house the advantages the Intellectual Pricing System provides.

How important it is today for any bank to know what customers think of it, what customers say about the bank on social networks, how to monitor this information and develop analytics on its basis – these are the topics of the interview of Alexander Sergienko, Innodata’s Executive director, to Bankir.ru, an information portal.

Moscow, April 26, 2017 - Innodata and RAMAX Group held a workshop “Taming Social Networks: Machine Learning on the Guard of Reputation” for representatives of major financial institutions and trading corporations. Innodata’s experts, Executive Director Alexander Sergienko and Product Owner Konstantin Shabalin, presented an innovative Social Network Content Monitoring and Analysis System (SMACSS). They shared with the audience their views on how social networks can be effectively and profitably used for business, not only to track news events and any mentions about the company, but also to correctly analyze the received content, attract new and retain existing customers, mitigate reputation risks, and respond quickly and efficiently to various abnormal behaviors.