From businesses gaining insight on customer loss prevention, to governments targeting fraud, waste and abuse, Rule14 empowers organizations assessing massive amounts of data for real-time decision making. Rule14 enables users to discover, monitor, extract, analyze and visualize large structured and unstructured data sets in a multitude of formats and languages.
Rule14 empowers organizations seeking to unlock new revenue streams via big data approaches. By aggregating enterprise information, external data, and open web information, Rule14 is able to create enriched, holistic customer profiles, for customer segmentation and behavior prediction solutions. Examples of solutions include deployment of next-best- offer models for cross-selling/upselling, targeted marketing to optimize marketing spend, and customized product recommendation.
The flipside of Revenue Enhancement is Loss Prevention. Rule14 has deployed a number of platforms aimed at predicting and preventing organizational losses. Similar to Revenue Enhancement, we leverage historical behaviors to create future predictions. Examples include forecasting customer churn and developing customized attrition prevention campaigns, predicting payment delinquencies and creating auto-reminders, and optimizing operations workflows for collections agencies based upon likelihood of successful outcomes.
Often times, the specific data challenges affecting organizations are unstructured in nature. Large silos of textual, image, and video data may be too expensive to process manually, and remain exiled in datacenters. Rule14 has a suite of natural language processing and text-mining toolsets to extract value from unstructured data. In this data-as-a-service model, Rule14 has deployed classification, summarization and extraction solutions to summarize documents, perform lease abstraction, and automate editorial tasks.
Any organization or government entity which administers benefits is subject to making improper payments due to wasteful practices or even outright fraud. The challenges associated with detecting fraud, waste, and abuse in high-transactional volume industries are particularly suited for the Rule14 solution: the datasets are very large, the evidence patterns exist in the data, and the variety of scenarios is both vast and difficult to pin down with fixed rule sets. While initially developed as a real-time pre-payment fraud, waste, and abuse detection platform, the general architecture is applicable to post-payment administration as well, applied on demand or real-time.
Sometimes, data-rich companies seeking to maintain competitive advantage embark on big data initiatives without a clear outcome in mind. The objective may be to use an analytical framework to gain enhanced situational awareness and to identify key processes or areas for improvement. Rule14 has provided services for public and private sector entities, including global election monitoring, online brand reputational management, and has provided open-source intelligence tools for providing background checks.