BIG DATA FOR HUMANS in Predictive Analytics Software

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BIG DATA FOR HUMANS
London, England, UK
2014
Enterprise
1 Likes
75 Buyers Negotiating

Summary

The Customer Graph brings the power of networks to automate customer analytics, business intelligence, and dynamic life-cycle and behavioral models, enabling users to easily understand, identify and sell to customers. This unique platform allows users to understand individual customers, create target clusters, find opportunities and turn insights into smart customer marketing action that increases revenue.

Features:
  • Integrate data: Graph-based models compare customers and RFM models are applied to identify the cluster of customers for better personalisation and to increase the ROI
  • Automate insights: Users are able to explore the customer clusters and communities identified by the graphing technique and can analyze who the customer is, their spending pattern, future spending and their RFM attributes. The Customer Graph additionally underpins incredible modified business insightful reports
  • Rapid marketing action: The isightful reports leads to the marketing action as to which channels such as e-mail, campaign, social or mobile ads are to be used to target the cluster of customers
  • Automate and Measure ROI: The automation of the marketing action will reduce the repetitive work and is time efficient due to which the ROI is accurately measured

Discussions

Strengths
  • +12
    Real Time Dashboarding
  • +9
    Analytics Workflow
  • +5
    Data Investigation
  • +13
    Event Detection
  • +6
    Statistical Modelling
  • +7
    Times Series Exploration
  • +9
    As a Service / Connector Free
  • +6
    Business Analysts
  • +12
    Cloud
  • +9
    Consultants
  • +14
    Data Scientists
  • +7
    Machine Learning / AI
  • +10
    Separate Platform
  • +5
    Customer Data
  • +9
    Data Blending
  • +8
    Data Preparation (Data Management)
  • +12
    Demographic
  • +13
    Firmographic
  • +11
    Geo Spatial
  • +11
    Interactive Visualisation
Cautions
  • -8
    Scalibility
  • -11
    Interactive Visualisation
  • -14
    Location [Pincodes]
  • -7
    Marketing Data
  • -14
    Report Automation
  • -13
    Report Generation
  • -10
    Static Visualisation
  • -6
    Transaction Data
  • -6
    Custom Scripting Language
  • -14
    Support for Custom Data Connectors
  • -14
    Advanced Condition Prediction
  • -11
    Apache Spark
  • -8
    Auto-scaling
  • -7
    Cloud Hosted Data
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