About

Data Zoo is a financial technology company and a leading global supplier of electronic identity verification real-time data delivered and designed for instant international regulatory compliance.

Executive Summary

Data Zoo maintains consumer and business Australia and New Zealand consumer data for marketing purpose. Data Zoo marketing team biggest challenges were data quality degrades over time due to human error and poor auditing on when data imported from multiple sources. Also marketing data supply processing was taking more than 3 working days to deliver the data for marketing campaign.

The solution developed by AFFIXCON

The following business values added to Data Zoo.

  • Human error reduced from 40% to 5%.
  • Capacity of delivering data for campaign is increased by 5 times.
  • Data accuracy increased by 30%.
  • Reduce marketing/campaign data processing effort by 45%

Challenges

business challenges overcome

  • All marketing data request is different from Data Zoo each client
  • Comply all data process to government regulations.
  • Combining different formats files into standard format
  • Combining different formats files into standard format
  • Keep track of All data supply for Auditing purposes
  • Keep track of All data supply for Auditing purposes
  • Reducing data processing time

Data Zoo's profitability and efficiency increased.

  • Human error reduced from 40% to 5%.
  • Capacity of delivering data for campaign is increased by 5 times.
  • Data accuracy increased by 30%.
  • Reduce marketing/campaign data processing effort by 45%
  • For example, 1 million records can be processed in an hour for following requests.
  • Name and Address parsing
  • Run against Do Not Mail (DNM), Do Not Call (DNC) and Death register

How Product Helped

AFFIXCON Developed Three (3) custom solutions to streamlined the Data Zoo marketing data process.

1. Import and data audit about data quality:

  • Defined best practices to Import and Audit data
  • Create single customer view data with history from multiple sources such as property file, phone file, online Survey, etc.
  • Integrate with third party software and solution such as government API services, Intec (address parsing solution) and etc.
  • The process includes data cleansing, check recency of data, identify socio demography details and data privacy

2. System to maintain client details along with each     request. Also, system generate unique reference for     future audit and invoicing purposes.

2. System to maintain client details along with each ;request. Also, system generate unique reference for future audit and invoicing purposes.

  • System capture Data Zoo client requests
  • System create reference number to track all associated process for Audit purposes.

3. Fetch the campaign data based on customer request.

  • Validate against government regulation for marketing campaign
  • Standardize for marketing purpose such as post office address format for Direct mailing (DM) c. Identify duplicate records