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Big-Data Analysis for Competitive Intelligence

This nation-wide wireless CSP was facing a rapidly changing competitive landscape due to aggressive actions by its competition. To respond to these pressures, the marketing and sales organizations required greater precision and advanced data analytics to target promotions, offers, and campaigns.

Excelacom’s team became the extension of the company’s development and business department. The team implemented new business processes and streamlined data deliverability, which saved $3M+ in vendor cost avoidance.

Excelacom’s team also shared telecom industry knowledge and expertise and provided the in-house team with comprehensive training in business analysis and process implementation.

Client Challenges

  • Rapidly changing competitive landscape
  • Aggressive actions by competitors
  • To respond to these pressures, the marketing and sales organizations required greater precision and advanced data analytics to target promotions, offers, and campaigns

Client Challenges

  • Developed custom ETL procedures
  • Partnered with other IT and business teams to certify metrics and calculations to ensure accuracy
  • Leveraged existing predictive models within the data warehouse and displayed them in a business-friendly format utilizing geospatial visuals within Tableau

Business Value

  • Excelacom became an essential part of the business department
  • Implemented new business processes
  • Savings of more than $3 million
  • Sharing of industry knowledge and employee training in business analysis and processes

Excelacom’s Approach

Excelacom covered multiple areas to enable a streamline of data deliverability to multiple departments companywide. Generally, Excelacom was working on solving the following challenges:

  • Response Delays
  • Vendor Cost
  • Customer Churn

Project Description

To fully cover the challenged areas, Excelacom partnered with IT and Business departments, as well as collaborating closely with consultants and analysts. This helped Excelacom in certifying and unifying companywide metrics and ensured the accuracy of the delivered data.

Simplifying and unifying companywide data became the next step of the project. The CSP required improvement in various business areas to ensure the reduction in customer churn via implementing data-driven decision making.

Excelacom ensured:

  • Delivery of automated dashboards based on predictive models with a rapid delivery model
  • Responding rapidly to a competitive environment using new and existing data assets

Project Outcomes

  • Leveraged existing predictive models and displayed them in a business-friendly format
  • Enhanced existing Tableau
  • Developed custom ETL procedures

Project Advantages 

  • Competitive Response – Utilized rapid delivery model to deliver regular 4-6 week releases
  • Reduced Churn – Churn rate stabilized the quarter after the first LIFT release
  • Vendor Cost Avoidance – $3 million in proven cost avoidance
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