• Industry’s first bolt-on customer analytics solution for Big Data

    AI Powered analytics

    Customer segmentation

SOLUTION

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

Achieve single view of data by harmonizing structured and unstructured data into a transformed data lake, ready for analytics

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Run Algorithms at Scale

Run analytics at scale to cost-effectively process large volumes of data to understand and predict customer behavior.

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Respond in Context

Track performance and identify opportunities in real time by surfacing insights with rich dashboards.

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WATCH CUSTOMER ANALYTICS IN ACTION

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Achieve Single View of Data

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.

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Analyze at Scale

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.

Analyze at Scale

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.

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Track Performance in Real-time

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.

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12 YEARS OF EXPERTISE, 200+ CUSTOMERS, 22 COUNTRIES.

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ALL THE BIG DATA & ANALYTICS CAPABILITIES YOU NEED - UNPACK. GO.

Customer Insights

Analytical views & infographic

Data exploration & analysis

List management

Customer Performance Analysis

Segmentation

Churn Analysis

Customer Lifetime Value

RFM Scoring

Market Basket Analysis

Propensity Modeling

Customer Analytics Solution

Product recommendation

Customer recommendation for NPI

Cross-sell recommendation

Similar products recommendation

Accessories recommendation

Top selling products

Customer Data Management

Data preparation

PMML import

Customer scoring

UNPACK. GET STARTED.

You don’t have to wait ages for deployment. Customer360 can start delivering profitable decisions in just 2 weeks. That’s what Manthan calls Switch On - packaged analytics solutions that accelerate time to benefit and provide new abilities to the agile marketer.
Hadoop Distributors
Setup

13 years of experience translated into packaged applications tailored for specific functions, delivered over the cloud. Ready to use on day 1.

Load

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.

Go-Live

Architected for use by business users, with ample self service and on-demand help to accelerate adoption. First analytical view in 2 days.

Critical business insights is now available on demand across the organisation, designed uniquely for each role. - CIO, Future Group

5-LAYER APPROACH TO SECURITY

Data Analytics
Data

No PII (Personal Identifiable Info), Encrypted Blocks, Secure Data in motion and rest

Customer 360
Application

Secure design and deployment principles, multi-factor authentication

Customer Data Analytics
Network

Hardened Network, Secure Access, VPN, Multi-layer Authentication

Customer Segmentation
Facilities

Physical and environmental security with multi-factor access controls

Customer Churn Management
Process

Standards-based Adaptive Operational Process

KNOW MORE ABOUT CUSTOMER360