CARE: Customer Automated Recommendation Engine

大数据和预测分析的繁荣是有据可查的。绝大多数数据都是非结构化的（至少80%），而且这只会在数量和比例上增长。文本分析是一个不断增长的市场，有来自成熟供应商的复杂工具。然而，这些工具要么专注于特定的、预定义的任务（例如情绪分析），要么需要熟练的数据科学家使用它们为特定任务构建模型，然后为业务用户解释这些模型以采取行动。这在呼叫中心、CRM、POS、电子邮件、社交媒体等客户文本数据的海洋和公司根据数据实时洞察力采取行动的能力之间造成了巨大的鸿沟，既针对特定客户（例如阻止他们离开电信提供商），也针对客户细分（例如优先考虑提高客户满意度、产品改进或增加销售机会的行动）。“CARE”或客户自动推荐引擎是一种革命性的文本分析方法，它不预先定义模式，而是使用专有技术在文本中找到任何有用的模式，并实时推荐最有用的预测操作。

The boom in big data and predictive analytics is well documented. The vast majority of dataare unstructured (at least 80%) and this is only set to grow both in volume and proportion.Text analytics is a growing market with sophisticated tools from well-established vendors.However these tools are either focused around specific, pre-defined tasks (e.g. sentimentanalysis) or they require skilled data scientists to use them to build models for specific tasksand then to interpret them for business users to action. This creates a huge gulf between theoceans of customer text data from call centres, CRM, POS, emails, social media etc. and theability of the companies to act on the insight in the data in real-time, both towards specificcustomers (e.g. to stop them leaving a telecoms provider) and segments of customers (e.g.prioritising actions which increase customer satisfaction, product improvement, or upsellopportunities). "CARE" or Customer Automated Recommendation Engine is a revolutionaryapproach to text analytics which does not pre-define patterns, but uses a proprietary techniqueto find any useful pattern in text and recommends the most useful predictive actions in realtime.