The joint solution enables operators to utilise real-time first party data such as demographics, geolocation, registered devices and favourite programmes to predict consumer behaviour and offer tailored services that adapt to fast evolving habits of multiscreeners

Oberhausen, Germany, April 23rd, 2015 − ACCESS CO., LTD (TV Connect stand 25), a global provider of advanced software technologies to the automotive, mobile, Internet of Things (IoT) and digital TV markets, and KILA Systems, the provider of the most advanced real-time predictive analytics solution for Big Data, today announced that they will host joint Big Data demonstrations at TV Connect, showing operators how to predict consumer habits and offer personalised multiscreen services based on consumer preferences, devices registered to the service, age, geolocation and more.

“The multiplicity of devices upon which consumers watch content has enabled operators to offer multiscreen services on all connected devices. However, the complexity of this environment has also led to overwhelming amounts of data that have become impossible to process easily,” said Dr Neale Foster, COO and VP Global Sales, ACCESS Europe. “Working with KILA Systems enables us to combine our multiscreen expertise with advanced analytics to allow our operator customers to automatically leverage the data they receive from their subscribers without further human intervention, an industry first.”

The joint solution showcased on the ACCESS stand at TV Connect leverages the multiscreen management platform ACCESS Twine™ and KILA Systems’ real-time predictive analytics solutions to collect first party data at scale, such as geolocation, age, devices registered to the service and consumption habits. It also provide comprehensive user insights combined with accurate and immediately actionable predictions. The analytics suite delivers a unique view on user behaviour, enriched with predictive behaviour patterns and demographics. Furthermore, the solution can offer advanced real-time analysis to predict churn, facilitate upsell, tailor the service depending on the profile of the user connected, as well as offer targeted advertising and more.

Damien Tassel, VP Business Development at KILA Systems, added: ”We are delighted to work with ACCESS. This close collaboration ensures that real time predictive analysis can easily become a consumer proposition for operators, enabling them to optimize their business KPIs in this fast changing market. The dedicated Artificial Intelligence programme we offer in our joint solution with ACCESS allows us to collect and manage first party data at large scale, as well as deliver actionable insights for each user. This enables operators to better understand users and their consumption habits and act accordingly to keep them engaged more deeply and for longer.”

The joint solution is based on ACCESS Twine™, a standards-based multiscreen management platform that complies with the operator requirements for advanced control of media sharing without compromising on the consumer experience. The solution offers global search of content from multiple sources via a single user interface, remote access and sharing of operator and personal video to multiscreen while ensuring that content is fully secure. ACCESS Twine provides flexible software modules for set-top boxes (STB), digital TVs, home gateways, smartphones and tablets. The solution is available as a client for STBs, mobiles and tablets as well as a home gateway package. The head-end server side components facilitate the control of subscriber rights and can be integrated seamlessly with existing operator infrastructure such as subscriber management, analytics and premium content security systems. The solution also provides data at large scale and highly flexible configuration options. Operators using ACCESS Twine can deploy it in their premises or use Infrastructure-as-a-Service (IAAS) to save on hardware costs while offering the same level of service. 
 
ACCESS has shipped its software solutions in over one billion devices worldwide, enabling the company to understand and address the multiplicity of device types, screen sizes, browsers, security options and interaction methods. The ACCESS multiscreen product portfolio is fully interoperable and can be integrated with any operator framework, while ensuring that the multiscreen services comply with the content industry’s stringent security requirements.

TV Connect takes place on April 28-30 at the ExCeL Exhibition and Convention Center in London, UK.

Note to editors: If you would like to make an appointment to meet ACCESS at TV Connect 2015, please contact Segolene Roche, segolene@platformpr.com, +44 207 486 4900.

About ACCESS
Since 1984, ACCESS CO., LTD. (Tokyo Stock Exchange Mothers Index, 4813) has provided advanced IT solutions centered around mobile and network software technologies to telecom carriers, consumer electronics manufacturers, broadcasting and publishing companies, the automotive industry and energy infrastructure providers around the world. The company develops mobile software solutions that have been installed on over 1.5 billion devices, and network software solutions that have been used by over 250 telecommunication equipment manufacturers. Utilizing its network virtualization technology skills and knowledge, the company is currently focusing on the development and commercialization of Internet of Things (IoT) and media solutions that combine embedded and cloud technology. Headquartered in Tokyo, Japan, the company operates subsidiaries and affiliates in Asia, Europe and the United States to support and expand its business globally. Learn more about ACCESS at www.access-company.com.

About KILA Systems
Base in France, KILA Systems provides the most advanced Big Data Real-Time learning machine, providing powerful user behavior analytics, and Real-Time predictions on users (demographics, user interests) actionable for user retention and targeted advertising. KILA makes verified predictions based on first party data, which enables operators to capture the value built from data independently from third party data stocks.



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