Page 37 - Big data - Concept and application for telecommunications

Big data - Concept and application for telecommunications 1

Appendix II

Use cases of cloud computing based big data as analysis services
(This appendix does not form an integral part of this Recommendation.)

Table II.1 – Continuous product improvement

Title Continuous product improvement

Description A software game manufacturing company would like to concentrate on application
development as a basic activity and the area of investment. In order to continuously improve
its products, the company needs an analytics solution to collect and analyse the associated
market and users' feedback. The company embedded monitoring functions in the software
games to observe users' behaviours, activities and preferences of available game options. In
addition a questionnaire is included in the game application for obtaining offline users'
feedback. Other sources of information about the game perception are Internet forums,
discussion lists and social communities, as well as press and television publications. Given the
large number of game users, the company has a lot of information to sift through every
month. But the amount of data can change depending on the schedule of new games
publication, so proper planning and smart organization of feedback data analysis would help
the company's IT team in their use of big data analytics to improve business success.
The game company builds an analytical solution based on big data as a service (BDaaS) by
defining:
– the schedule of BDaaS activity depending on games publication time;
– requirements for data collection directly from the application using embedded
monitoring functions;
– requirements for collection of Internet and press data related to the game in order to
analyse users' and market opinions and its evolution;
– requirements for social media data analysis of game users' opinions and direct exchange
between users;
– the access method to the user generated questionnaire data about the game;
– database selection for all data collected about the game;
– requirements for analytics and reporting to emphasize the opinions about the
application, identify strong and weak points, gaps and spare elements;
– monitoring criteria to analyse the intensity of new opinions on appearance generated by
users to identify the application maturity level, which allows decisions to be made about
ending involvement in the product;
– performance objectives to be reached by the BDaaS system.
The game company orders a BDaaS including the following elements:
– specification of data sources, which need to be serviced;
– data integration goals for overall analytics;
– database functionalities;
– data storage functionalities (data types, variety, lifetime);
– analytical tool functionalities;
– access to analytical tool configuration and customization;
– reporting schemes and integration with the company internal systems;
– data collected and results of analysis available only for the company, even if publicly
available data are used.

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