Qlik > Case Studies > IndianOil drills into data

IndianOil drills into data

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Customer Company Size
Large Corporate
Region
  • Asia
Country
  • India
Product
  • QlikView
  • Qlik Sense
Tech Stack
  • Data Analytics
  • Real-time Data Analysis
  • Predictive Maintenance
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Customer Satisfaction
Technology Category
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Oil & Gas
Use Cases
  • Predictive Maintenance
Services
  • Data Science Services
About The Customer
IndianOil is the largest public sector oil and gas company in India. The company has a significant amount of data across its organization, which was initially used to create dashboards for the company's chairman and directors. Recognizing the potential of this data, IndianOil sought to maximize its value by leveraging it to drive business value across the organization.
The Challenge
IndianOil, the largest public sector oil and gas company in India, first turned to data analytics with QlikView in 2012. Dashboards were created, mainly for the company’s chairman and directors. During a review of its IT infrastructure, IndianOil identified an opportunity to make more use of the increasing amount of data being held throughout the organization. The company saw the potential of leveraging this data to drive business value across the organization.
The Solution
To support its vision to maximize the value of data, IndianOil embarked on analytics modernization through Qlik Sense. This solution would enable real-time data from pipeline infrastructure, refineries, and ERP systems to be analyzed. The goal was to deliver active intelligence that would provide benefits such as predictive maintenance and process improvements. The company aimed to use this active intelligence to support the business in various ways, including detecting fraud, better deploying resources, tracking customer behavior, and making improvements to operations.
Operational Impact
  • Active intelligence is supporting the business in various ways.
  • The company is able to detect fraud more effectively.
  • Resources are being better deployed across the organization.
  • Customer behavior is being tracked more accurately.
  • Improvements are being made to operations.

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