Big Data Innovation – From Experiment to Production

Big Data projects offer the promise of generating value from previously ignored or under-exploited data. Many enterprises are looking to take advantage of new data sources and combine that with the wealth of information they already hold about their customers, their business, even their competitors to develop new innovative applications and services, such as: · combining data from devices, sensors, customers, and analyze that in real time to react better and faster (example, location-based services) · pursue new opportunities in an adjacent markets – for example selling predictive maintenance services to the buyers of your products · accelerate time to market – for example identifying the most valuable customers and launching special programs to boost loyalty Innovation from Big Data is driven by experimentation to uncover new markets or data-driven products and services, as well as trying out new business processes, searching for new insights, and testing new hypotheses. However, a well-planned integration strategy is essential to putting this innovation to work in production business environments. The innovation may take advantage of new platforms, but to be taken into production it must work smoothly with existing systems and processes. No matter where the innovation came from, enterprises still need to access data, and figure out how to make it scale. This will involve not only the technology team, but business and strategic leaders as well. Join Oracle and 451 Research for a webinar exploring how to take advantage of big data opportunities by coordinating innovation and production. It covers how to manage rapid development in an environment with minimal control—together with the ability to migrate innovation into a production environment to support real-world needs that are constantly changing.