Data Strategy For Babble

An electrical tower with a sunset in the background and the babble logo on top

Client: Babble

Location: UK 
Industry:
Cloud Telecoms Retailer

Challenge

Babble is an acquisitional cloud telco that purchases up to 12 businesses per year. Their model is to earn a multiplier from moving the businesses from old, on-premise, technology to scalable cloud solutions, on monthly recurring revenue. Many of the businesses that Babble buy have minimal electronic records defining the products and services the customers have bought and the data is generally of very poor quality.


Over time the overall data quality became worse and the inefficiencies were absorbed by the operational teams downstream. It became vital to create a workable data strategy.

Solution

Traverse created a wide-ranging data strategy which defines:

  • Data architecture and common data objects

  • Data flows

  • Data integration

  • Governance

Results

Traverse created a very detailed data strategy, roadmap and implementation plan which also considered supplier invoice matching in detail. These detailed plans mapped out how the data could be cleaned, structured and automated to reduce cost and operational burden.


Previous
Previous

The Top 5 Tasks To Automate In Travel

Next
Next

RPA To Help Manage Growth For MyCruises