Datameer Customer Analytics
Consumer-facing companies (finance, banking, insurance, retail and others) need to understand the various interaction points with customers, the paths through these interaction points and their influence to help optimize the customer journey. By optimizing the journey and helping customers through various buying stages, companies can maximize sales and revenue opportunities.
Custmer Acquisition Analytics
To optimize their marketing spend, businesses are searching for answers within analytics to drive their customer acquisition strategies. Big data analytics can help marketers understand the best and most cost-effective methods of acquiring customers.
Customer Buying Behavior
Customer buying behavior is complex, driven by a vast array of personal, social and economic factors. Big data analytics is providing new insights into how customers think and how they buy. Now, companies can look at the entire omni-channel set of interactions with customers to find insight into what drove them to buy, how long the process took, what research they performed, who they interacted with and more. This helps the organization build a series of buying behavior patterns and optimize the customer journey through those patterns, from marketing through fulfillment. The buying behavior patterns can also reveal personalized journeys that organizations can use to guide the buyer and reveal certain customers that are ready to be led on that journey.
Customer Experience Analytic
Using customer experience analytics, organizations can better identify strategies to reduce attrition, target improvements at key touch points to accelerate issue resolution, increase cross-sell rates with sophisticated customer segmentation and boost the value of your Voice of the Customer program.
Customer Journey Analytics
Analysis of data points from every touch point across every channel to gain a complete understanding of the customer journey.
Customer Lifetime Value Analytics
Determine the current and potential future value of customer so different parts of company can prioritize efforts to work with the most valuable customers and drive profitability. The marketing team can organize campaigns and the sales team can prioritize their efforts to target customes with high current and future value. The service organization can understand which customers have greater value to create programs that deliver extremely high service levels to those customers, and offload less valuable customers to more cost-effective service channels.
Customer Service Operational Analytics
Telecoms operate large call centers to service customers, as well as large field teams to perform the physical work associated with service. Customer service analytics examines the various operational aspects of the customer service processes (truck rolls, online service interactions, customer installations, etc.) to determine how effective and efficient the customer service organization is.
Drive customer insights
Datameer, Inc. is a big data Analytics and Visualization company based in San Francisco, California. Datameer offers self-service and schema-free Big Data analytics application for Hadoop. Founded by Hadoop veterans in 2009, Datameer scales up to thousands of nodes and is available for all major Hadoop distributions. Datameer specializes in analysis of large volumes of data for business users of Apache Hadoop. The company's product, Datameer Analytics Solution (DAS), is a business integration platform for Hadoop and includes data source integration, an analytics engine with a spreadsheet interface designed for business users with over 200 analytic functions and visualization including reports, charts and dashboards.