Customer360 is the fastest approach to monetize your Big Data. The pre-packed analytical algorithms, customer data model, mining engines and ready to go configurations for Hadoop enables marketers and analysts to begin running algorithms on large data sets within a few hours.
Achieve single view of data by harmonizing structured and unstructured data into a transformed data lake, ready for analytics. More
Run analytics at scale to cost-effectively process large volumes of data to understand and predict customer behavior. More
Track performance and identify opportunities in real time by surfacing insights with rich dashboards. More
Customer360 manages all aspects of data on-boarding and aggregation. The data integration engine consumes data in batches or real time into a data lake. A transformed data lake is created by cleaning, harmonizing and linking with identifier across different source systems.
The Transformed data lake also serves data for the customer analytics data mart, which powers interactive analysis and reporting needs. Statistical algorithms can tap into the transformed data lake for predictive and prescriptive analytics.
The meta data layer provides a common definition for the business metrics and access control to the data across different layers.
Customer360 algorithms run on Spark, a flexible in-memory processing and analytics framework which allows businesses to cost effectively use very large data sets for analysis, instead of sample data.
Data management, cluster sizing and machine configurations are optimized for performance.
Customer360 can deliver personalized product and offer recommendations by analyzing data of 25 million customers with 3 Billion transactions at the product level within 20 minutes.
Customer360 can surface real time insights about campaigns, path to purchase, ecommerce funnels and other operational metrics.
Customer360 leverages scalable listeners to robustly consume information from operational systems, process it and publish insights on to dashboards using high throughput distributed messaging systems like Apache Kafka and Amazon Kinesis.
13 years of experience translated into packaged applications tailored for specific functions, delivered over the cloud. Ready to use on day 1.
Pre-built connectors and defined processes drive faster self service data loading into a built for analytics marketing data model. Unify data from external and enterprise systems.
Architected for use by business users, with ample self service and on-demand help to accelerate adoption. First analytical view in 2 days.
Data No PII (Personal Identifiable Info), Encrypted Blocks, Secure Data in motion and rest
Application Secure design and deployment principles, multi-factor authentication
Network Hardened Network, Secure Access, VPN, Multi-layer Authentication
Facilities Physical and environmental security with multi-factor access controls
Process Standards-based Adaptive Operational Process
Manthan is the Chief Analytics Officer for consumer industries worldwide. Manthan’s portfolio of analytics-enabled business applications, advanced analytics platforms and solutions are architected to help users across industries walk the complete data-to-result path – analyze, take guided decisions and execute these decisions real-time. Sophisticated, yet intuitive analytical capability coupled with the power of big data, mobility and cloud computing, brings users business-ready applications that provide on-demand access and real-time execution – the only path to profit in a contemporary, on-demand and connected economy. Manthan is one of the most awarded analytics innovators among analysts and customers alike. To see how your business can gain from analytics,visit www.manthan.com