Gambling industry has been online for quite a while with lots of innovative features and ideas. The industry is seeing innovations that ensure passionate gamers stay in the game stakes. It has seen new heights with incredible data advances in big data analytics. For any online and offline video gambling are interactive sources of valuable data, which can deliver fascinating solutions for enhancing gamer experience and increasing revenue streams.
According to some market reports, large, video-game manufacturers have capacity to generate around 50 terabytes of data daily. Gaming industry is bigger than movie industry in terms of revenue generation. Gambling industry is fast embracing big data technology, and expected to make waves in novel methods of customer engagement, optimized and targeted advertising, and enhances the end-user experience.
Modern special aspects of casino video-game parlours are integrated with several forms of entertainment e.g.; dining, shopping, movie halls, or book stalls. Big-data-enabled, real-time data monitoring may adapt data to impressive marketing plans that generate revenue from multiple sources. Marketing strategy game parlours or casino owners use to retain customers and attract new ones relies on their knowledge of customer-spending habits and preferences of both gamers and non-gamers.
Gambling companies and businesses try to increase, retain, and engage gamers for business gains. This means getting more users to play, play frequently, for longer durations and pay. The sole objective of behavioural analytics is to identify the target gamer population and entice them with appropriate advertising placement and content. The challenge of analyzing external data is that it is usually multi-format and mainly unstructured.
Enterprise-wide CRM e.g. Microsoft Dynamics makes a difference. The Dynamics CRM seamlessly integrates with diverse gaming platforms, though privacy remains a consideration in future, multiplatform gaming architectures. Casinos need proper management of revenue streams successfully, they need to give incentives to non-gamers—based on tastes and preferences.
The role of an effective BI system in gaming is gathering gamer data from several types of external sources, and comparing this data within internal systems to arrive at effective decisions about customer spending patterns, tastes and levels of satisfaction.
Gamer Engagement: due to the myriad online and offline game platforms available, large amounts of unstructured data can be analyzed either by cloud-based big-data analytics platforms or on-premise big data analytics infrastructure. Data collected through game stations may be added to information displayed on gamers’ social profiles, so that game designers or manufacturers can suitably tailor games to closely match gamer expectations.
Up-Selling and Cross-Selling: Big data-driven in-game advertising speaking to players is highly effective to appeal to customer segments. Additionally, big data game companies can use recommenders to offer virtual products based on customers’ purchase habits.
Custom-Made Game Designs: Gaining insights into gamer interactions during play sessions with big data analytics, game companies can introduce novel ways to keep players interested. Big-data analytics solves areas in games that are most or least popular hence enabling game designers to modify games to keep players challenged and engaged.
Optimized Gamer Experience Across Platforms: with mobile devices deployment capability, big data analytics can provide valuable insights to enhance gaming experience across platforms.