The Platform

  • Flagship Customer Intelligence Product
  • Automates Data Ingestion
  • Captures Real-Time Customer Behavior

Platform Overview

Cadenz is TheDataTeam’s flagship customer intelligence platform that combines all customer data and uses behavioural AI algorithms to unearth implicit preferences of end customers.

Using Cadenz, a B2C company can drive topline initiatives of:

Improving stickiness

Boosting revenue per customer

Monetizing data using high-RoI advertising for partners

The To-Do’s To Automate Behavior Identification

Integrate

  • Industry specific out-of-the-box plug-n-play data source integrations
  • Integrate customer transactions and interactions including 3rd party data sources
  • Process Real time and Batch data sources: events, database, data warehouses, datalake, files

Unify

  • Customer matching across data soruces using ML models
  • Standard insdustry specific data models
  • Scalable and flexible data validation and transformation pipelines
  • Real time merging of the data

Automated Behaviour Mining

  • Prediction layer that brings the power of Artificial Intelligence into Cadenz. The algorithms in Cadenz use modern methodologies like Deep Neural Network (DNN) and Q-Learning to accurately identify customer behaviour, patterns and trends.
  • Identify customer preferences, interests, propensities etc
  • Out-of-the-box automated behaviour mining
  • Discover behaviour patterns across data sources

Consume

  • API based integrations of profiles with business functions, CRM and campaign management systems: Ready to be consumed data sources.
  • Attribute based alert configuring
  • Batch exports

The To-Do’s To Automate Behavior Identification

Integrate

Integrate

  • Industry specific out-of-the-box plug-n-play data source integrations
  • Integrate customer transactions and interactions including 3rd party data sources
  • Process Real time and Batch data sources: events, database, data warehouses, datalake, files

Unify

Unify

  • Customer matching across data soruces using ML models
  • Standard insdustry specific data models
  • Scalable and flexible data validation and transformation pipelines
  • Real time merging of the data

Automated Behaviour Mining

Automated Behaviour Mining

  • Prediction layer that brings the power of Artificial Intelligence into Cadenz. The algorithms in Cadenz use modern methodologies like Deep Neural Network (DNN) and Q-Learning to accurately identify customer behaviour, patterns and trends.
  • Identify customer preferences, interests, propensities etc
  • Out-of-the-box automated behaviour mining
  • Discover behaviour patterns across data sources

Consume

Consume

  • API based integrations of profiles with business functions, CRM and campaign management systems: Ready to be consumed data sources.
  • Attribute based alert configuring
  • Batch exports

Features

    • Gather and integrate customer data in real-time
    • Deduplicate multiple records
    • Use APIs for easy access
    • Control access to sensitive fields
    • UI for individual profile view
    • Customer Dashboards
    • Enforce privacy principle
    • Infer behaviour with OOTB industry-specific AI models
    • Configure behaviour classifications
    • Incorporate company and product definitions
    • Get readymade reports
    • Explore PYML (People-You-May-Like)
    • BYOM (Bring Your Own Models)
    • Enable real time recommendations
    • Real time event processing
    • Real time interaction context understanding and decisioning
    • Real-time alerts
    • Real time profile updates
    • UI for Audience Discovery
    • Search using natural language
    • Get suggestions for similar behaviours
    • Save, share* & collaborate*
    • Interact with automatically computed micro-segments
    • Get readymade audience summaries
    • Attribute level access control
    • Data & process lineage
    • Security: Adhere to international data security norms
    • Privacy aware
    • Scales to the entire customer base
    • Built using Big data stack
    • PetaByte scale
    • Integration with CRMs, CMS, ‘other software.’
    • API based consumption
    • Configure alerts
    • Integration with internal systems
    • SIngle & batch profile consumption

Single View Of The Customers

  • Gather and integrate customer data in real-time
  • Deduplicate multiple records
  • Use APIs for easy access
  • Control access to sensitive fields
  • UI for individual profile view
  • Customer Dashboards
  • Enforce privacy principle

Automated Behaviour Mining

  • Infer behaviour with OOTB industry-specific AI models
  • Configure behaviour classifications
  • Incorporate company and product definitions
  • Get readymade reports
  • Explore PYML (People-You-May-Like)
  • BYOM (Bring Your Own Models)

Real Time Personalization

  • Enable real time recommendations
  • Real time event processing
  • Real time interaction context understanding and decisioning
  • Real-time alerts
  • Real time profile updates

Micro Segmentation

  • UI for Audience Discovery
  • Search using natural language
  • Get suggestions for similar behaviours
  • Save, share* & collaborate*
  • Interact with automatically computed micro-segments
  • Get readymade audience summaries

Governance & Privacy

  • Attribute level access control
  • Data & process lineage
  • Security: Adhere to international data security norms
  • Privacy aware

Scalability

  • Scales to the entire customer base
  • Built using Big data stack
  • PetaByte scale

Downstream Integration

  • Integration with CRMs, CMS, ‘other software.’
  • API based consumption
  • Configure alerts
  • Integration with internal systems
  • SIngle & batch profile consumption

Why Cadenz Is A Platform-Ahead

Cadenz Powered By Real Time CDP
Other CDP Platforms
Handling Business Complexity

Capable to handle every complexity of customer behavior while managing a trillion plus customer data.

Experience limitations in 360 support of enterprise customer complexities with success in few use cases.
Data Freshness

Real-time customer intelligence means customer profiles are updated daily with real-time ingestion.

Data latency and real-time ingestion challenges means customer experience data is outdated.
Dependency On IT

Seamless integration with existing enterprise systems and AI automated behaviour frees up IT for core services.

Integration exercise and subsequent tickets raise challenges for IT and increases support costs.

Exploring Telco Success Stories

Basic

$10

/month
Premium

$10

/month
Developer

$10

/month

Exploring Telco Success Stories

Featured Case Study

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Customer Testimonial

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