Customer Behavioral Analytics

Understanding customer behavior, across online and offline interactions, increases sales and improves customer service...

Customers and prospects now interact across a variety of means, in store, on the web as well as across a variety of third party channels such as social media. These interactions produce a massive amount of complex data, structured in the case of transactions and unstructured and semi-structured in the case of website clicks and social media. Making sense of all of this interaction, while challenging, can dramatically increase revenue, produce more desirable products and services and deliver a better user experience.

 

Traditional data warehousing and business intelligence technologies aggregate customer data in generalizations and struggle to integrate the large number of data sources needed for behavioral analytics. And, these solutions do not integrate and analyze unstructured data and content well, leaving out these critical components of customer interactions across social media sites and web log data.

The Datameer Analytics Solution (DAS) enables visibility of complete customer behavior across all transaction and interaction channels.  The ability to integrate, analyze and visualize large volumes of structured and unstructured data provides a 360 degree view of customers.  DAS scales cost-effectively to 4000 servers and petabytes of data to accommodate the storage of large volumes of granular customer interaction data so that analysts are able to focus on specific behaviors of their customers. The elastic scalability of DAS means that computational resources can be expanded and contracted as needed to optimize access to customer data. As a result, sales and marketing analysts have no limits on the customer attributes and segmentations they are able to explore.

With DAS, its simple to integrate clickstream data with other enterprise data sources to obtain a holistic understanding of customers and their behavior across all interaction channels, telephone, e-mail, voicemail, text messaging, and the Web. For example, customer demographic data from a CRM system, purchase history across channels from an order management system and clickstream data could be combined to better understand a customer's likely response to an online promotional campaign. Or, by bringing in social media conversations, companies can better identify how customers are influencing each other's buying decisions.

With more than 180 built-in analytic functions for exploring and discovering complex relationships as well as extensibility for adding functions from any tool or user, analysts have the tools and power they need to analyze customer behavior using techniques such as affinity and market basket analytics.

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Solution Brief

Customer Behavioral Analytics

"As a result of using DAS, nurago is better able to help our clients identify and analyze patterns in behavioral data of panel members. DAS helps us as a market research vendor to scale for our most granular data requirements and greatly simplifies the integration of multiple sources. In addition, DAS makes reporting on big data analytics directly accessible to our analysts so that they don't need to turn to developers for their requirements."


Nikolaus Pohle,

CTO of nurago