The push for customer-driven interaction across a broad array of channels means more businesses are introducing platforms like mobile apps, video customer support, online communities, social media, and more. With a diverse network of communication channels across vastly different platforms it is increasingly important to understand how customers and prospects are using these products and services. Each visit and click provides insights on user behavior and buying patterns. These insights are enabling companies to use these interactions to continually enhance offerings, improve marketing campaign performance, conduct predictive and lookalike modeling, analyze patterns, and ultimately provide better value to customers. Companies are using an increasing array of tools to develop this "Customer 360" view, including social media listening tools to gather what customers are saying on sites like Facebook and Twitter, predictive analytics tools, CRM suites, and marketing automation software.
Aggregating customer data from these interactions with demographics and other customer data is difficult to achieve. Web analytics take time to build. They require ingesting, transforming, blending, and performing aggregations across numerous interactive source feeds of data. Data acquisition, entry, quality, management, and merging is crucial. The successful customer 360 solution includes the ability to identify and react to human errors, fuzzy matches, and incomplete records. It means reacting to these challenges and merging data records to effectively build reliable profiles on a mix of unstructured and structured data.
Cask simplifies building end-to-end data pipelines, including ingesting, blending, and aggregating data from varied source feeds, leveraging easy-to-use programmatic abstractions and visual interfaces.
Flexible and Easy to Use
CDAP provides a simple and consistent platform to build, deploy, and manage complex data analytics applications in the cloud or on-premise. CDAP provides a comprehensive collection of pre-built building blocks to support data manipulation, data storage, and data analytics for rapidly building smarter end-to-end solutions without writing manual code.
Scalable and Reliable
Scalable and reliable production runtime environment and operational tools for easy deployment and management of solutions on Hadoop.