Industry Specific Case Studies and Solutions

How can different industries use Big Data and Business Intelligence?

Big Data and Business Intelligence are considered to be the next big thing in technology, but how would you apply it in your specific industry? Below are a number of examples and case studies on how Big Data and Analytics are applied to make the most of your data!

Telecom Network Capacity Case Study

Network Capacity AnalyticsProblem:

  • Over or under-built network with negative financial impact (CAPEX\OPEX) and limited flexibility to support customer growth
  • Lack of cell-level network analysis and reliance on high-level planning approaches
  • Missing inputs from sales forecast and marketing trends into capacity planning

C-Centric solutions:

  • Holistic approach to operational planning that provides data from all operational functions – Marketing, Finance, Network Operations.
  • Real-time and active resource management that enable load balancing.
  • Provide “Sensitive Analysis“ that equip netowrk engineers with the tools to test what-if scenarios to forecast the growth of traffic in future.
Telecom Marketing Analytics Case Study

Marketing AnalyticsProblem:

  • For every $10 that an OTT earns from users, the Operator earns $1
  • Customer behavior and preferences are captured by OTT who capitalize on user information bypassing the Operators newtork
  • Operators network is considered a dark pipe

C-Centric solutions:

  • With C-Centrics DPA, Operators can:
  • Detect usage patterns, customer segments and other behavioral information
  • Predict Customer requirements & needs from segmentation and correlation of available information
  • Act Properly in providing relevant marketing campaigns to the right customer at the right time

Read our Whitepaper for more insights!

Telecom Churn Management Analytics Case Study

Churn Management AnalyticsProblem:

  • A new customer costs over 5x more to acquire than an existing one does to retain
  • The lack of timely insight and delayed response time to customer issues and complaints
  • The low barriers to switching make customers highly sensitive to any negative experience

C-Centric solutions:

  • DPA Platform –
  • D – Detection of significant event patterns from live network data and correlate these event with contextual insight like customer preferences, usage history, and customer segments
  • P - Predictive analytics to quantify the impact of the event –like possible attrition ,cross/up-sell opportunity
  • A – Act by sending offer and promotion on the right time through the right channel
Telecom Performance Analytics Case Study

Performance AnalyticsProblem:

  • Sub-optimal network performance results in lower QOE due to longer call-center calls, higher customer support costs and unsatisfactory customer experiences.
  • Which regions have most dropped calls?and who are the customers most affected?
  • Which areas are customers calls being routed through different network costing fee and shaving off revenues?

C-Centric solutions:

  • Detailed framework that:
  • Combines and compares dropped calls, hand-over metrics, data rates, latency for audio and video services with best-practice KPIs {Retainabilty,Accessibility ,In-Call}
  • Connect and correlate this data with customer profiles and information
  • Suggest a preventive actions such capacity increase or network upgrade.
  • Heat maps, Clusters and Grid Analysis for network traffic analysis
Energy Company - Case Study

Client Challenge:

  • Large Government utilities company attempting to privatize
  • Need to drive aggressive cost controls across the business
  • Prioritization of asset management and value based maintenance for quick wins


  • Captures operations and maintenance data
  • Platform implemented for continuous process improvement
  • Permits the value delivered by the asset to be calculated and examined using a convenient dash-boarding tool

Demonstrated ROI Benefits:

  • Permitted asset value to be visible and transparent, resulting in over $100 million of direct savings to be implemented in phase 1


Technology Case Study


With increased customer expectations and radical growth in technology accessed by end users, how do technology companies stay up to date with what customers are looking for and what customers need? The market is very competitive in our globalization era in which you no longer need to understand customers around you, but have to understand globally how customers behave.


Surveys have been an essential part in marketing surveys, but with many data sources available today, Product Managers have the opportunity to utilize this Data to understand customer trends, usage patterns and adoption of new technologies. 

Oil and Gas Case Study

Oil rigs moored in Cromarty Firth. Invergordon, Scotland, UK

Customer Challenge

  • Major oil company affected by declining oil prices
  • Need to drive efficiencies across deep water drilling operations
  • Decision making systems need to be enhanced in terms of speed of extraction, analysis and management visibility

The Solution

  • Centralized management solution developed in 4 weeks
  • Unique platform that consolidated actual and key forward estimates enabling automated reporting
  • Includes complex analytics and live collaboration


  • Performance improvement platform that exceeded target expectations, capturing savings from first year reaching $500M