Customer Churn Analytics
Combine all customer data to predict their service experience and propensity to churn, and take preventative action
- Access, cleanse, and blend data from multiple sources using drag-and-drop tools with no coding required.
- Discover, prioritize, manage, and understand all relevant information in your organization to improve analytic productivity and empower better business decisions for all.
- African Proficient Analytics empowers data analysts with the tools to maintain control, while accelerating the data blending process.
- Understand the health and quality of a dataset prior to building models with Data Profiling.
- Query Hadoop data and integrate it with any other data source to build exactly the dataset needed for analysis
- Accelerate the preparation, blending and analysis of large sets of data without moving the data out of a database
- Move past backwards looking business intelligence and improve future outcomes through easy to use predictive analytics.
R for Big Data Analytics
- Apply the power of the R statistics and predictive language to your largest and most sophisticated data assets
- Enrich CRM data with demographic, firmographic, segmentation, and geo-spatial data, then anticipate customer behavior
- Access, cleanse, blend and analyze business critical SAP data via drag and drop tools with no coding required.
- Blend spatial data with traditional datasets to drive greater efficiencies, improve operations, and enhance profitability of service, marketing or asset location strategies.
- Deliver the best possible dataset to market-leading visualization products such as Tableau, Microsoft, and Qlik at a fraction of the cost of other solutions.