MOCA partner with Bullfrog to Enhance Insurance Services through Location Intelligence and Big Data

We are excited to announce our partnership with Bullfrog, a leader in innovation consulting and experts in the areas of FinTech and InsurTech. Through this agreement, the two leading companies are committed to help financial and insurance entities better understand their customers, allowing them to design financial products based on their profile, as well as providing a better experience through a more personalized set of services.

Bullfrog home page

Using Geolocation to Predict Urban Mobility Patterns

The increasing ubiquity of mobile devices use has opened up new avenues in the study of human mobility. To face the mobility challenge will require coordinated actions from the private and public sectors. Technological advances, the massive use of apps and the application of Big Data techniques and technologies and business model innovation will be needed to realize productivity improvements while creating more sustainable environments in our cities. In a recent study, MOCA’s scientific team has discovered, for one hand, that urban mobility patterns can be predicted using geolocation data from mobile devices and for the other, that mobility patterns follow Zipf’s mysterious law.

This research comes up from the project BD2K (Big Data to Knowledge) funded by the CDTI and European Union funds, which has developed the basis of MOCA’s Machine Learning algorithms.

MOCA Urban Mobility Patterns

Solutia Intelligence and MOCA Partner to Make Cities Smarter through Beacons and Machine Learning Technology

We are very glad to announce our partnership with Solutia Intelligence, a leader in the development of technology solutions for companies and public entities. Through this agreement, our customers will be able to interact and communicate with citizens, engage local businesses and connect departmentsThe integrated solution for smart cities provide services such as Big Data Analytics, IoT sensor Management, Multi-Channel Communication, Traceability and Connectivity.

Announcing MOCA Partner Program: Location-based technologies for a customer-centric strategy

Customer engagement is a top priority for marketers this year. While brand awareness is a longstanding marketing objective that implies one-way communication, business-to-consumer is focused on a two-way directional channel, indicating the rising importance of more personal relationships with the end user.

The trend toward personalization increases everyday and answers questions like what, when, where, who and how; it has never been more important. Today location-based technologies open up new possibilities to companies focused on a customer-centric strategy. We’re glad to announce the launch of MOCA Partner Program that will enable digital agencies, app developers, system integrators, marketing technology firms, hardware and solution providers to deliver next-generation, context-aware mobile engagement solutions.

MOCA_Partner_Program

MOCA and Pole Star power MWC 2016 with the most advanced proximity marketing and geolocation solution

MWC 16 MOCA

MOCA and Pole Star, have been chosen once again by Fira Barcelona to be official providers for the GSMA Mobile World Congress 2016.

Pole Star’s technology integrated with the MOCA solution delivers added value for visitors, exhibitors and organizers alike, by providing incomparable geolocation and context-aware marketing services like never before.

This joint solution is based on 3 service levels which combine users’ geolocation with other data to expand the added value of contextualized messages. Thanks to this combined solution, visitors will be guided through the 240,000 m² of Fira Barcelona, receiving highly-personalized notifications based on proximity and will benefit from an intelligent Recommendation System aiming at enhancing networking efficiency. Using geofencing, the exhibitors will be able to interact with attendees and attract them to theirs booths. Finally, Indoor Location Analytics brings a powerful analysis tool to the event organizer, providing the necessary knowledge to understand the behavior and preferences of attendees.