Overview

iMatch represents an end-to-end process, encompassing the collection and integration of data from multiple sources, systematic storage, the use of AI for profile matching, and advanced data analysis to generate insights leading to market segmentation or various business decisions.

Main Services

Data Cleansing
Finding erroneous accounts using fuzzy matching logic
Data cleansing is a critically important process in preparing data for analysis. Its primary objectives are to ensure data accuracy, completeness, and high quality, which directly impact the reliability of analytical outcomes.

The key steps involved are as follows:

  1. Auditing and Identifying Issues
  2. Handling Missing Values
  3. Handling Duplicate Data
  4. Correcting Inconsistent/Incorrect Data
  5. Standardizing Data
  6. Outlier Treatment
  7. Verification and Validation
Data Consolidation
Merging accounts form different systems using fuzzy and rule-based matching logic
Erroneous data prevention
Prevent erroneous accounts form being created in the first place

iMatch Framework

This framework illustrates an interconnected data ecosystem, spanning from raw data collection to processing, analysis, and utilization to automatically drive business and marketing strategies.

Data Deduplication

  • Define master table and field with prioritize source of truth
  • Matching data with rule as features then use AI to predict result
  • Machine learning customize able with multiple algorithms
  • Support CSV, API, oData, Salesforce, MySQL, PostgreSQL, SQL server, Oracle in/out
  • Merging many source into a master table and translate foreign key for transaction tables
  • Preprocessor embedded and customizable (Javascript language) and data quality gate
  • Feedback result (super record, reference, quality) to data source
  • Backend UI for browsing data and operation
  • On-prem k8s, docker, eks, aks supported

Target Segmentation

  • Data Collection and Integration
  • Geographic Segmentation
  • Psychographic Segmentation
  • Behavioral Segmentation
  • Segmentation Automation
  • Campaign Targeting
  • Integration with Other Platforms

Automation Journey

  • Lead Nurturing & Scoring
  • Email Marketing Automation
  • Workflow and Campaign Automation
  • Multi-channel Campaigns
  • A/B Testing
  • Personalization & Dynamic Content
  • Integration with Other Systems
  • Lead Management & Conversion Tools
  • Event & Behavior Tracking
  • Automation Rules & Triggers