Qlik > Case Studies > Ramkrishna Forgings Amplifies Operational Excellence Using Qlikview Business Discovery Platform

Ramkrishna Forgings Amplifies Operational Excellence Using Qlikview Business Discovery Platform

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Customer Company Size
Large Corporate
Region
  • Asia
Country
  • India
Product
  • QlikView business discovery platform
  • SAP R/3
  • QV SAP Report Connector v 5.5
Tech Stack
  • SAP
  • Ms-Excel
  • Ms-Access
  • Ms-SQL
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Digital Expertise
  • Cost Savings
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Functions
  • Human Resources
Use Cases
  • Manufacturing System Automation
  • Predictive Quality Analytics
  • Supply Chain Visibility
Services
  • System Integration
  • Software Design & Engineering Services
About The Customer
Founded in India in 1981, Ramkrishna Forgings Limited (RKFL) is a manufacturer and supplier of open and closed die forgings of carbon and alloy steel, micro alloy steel and stainless steel forgings to both the domestic and international markets. The company also supplies safety items including screw coupling, bolster suspension, side frame keys and draw gear assembly for Railway Coaches and wagons. The company hosts state-of-the-art manufacturing facilities and delivers to international levels of quality control including the TS S 16949, OSHAS 18001 and ISO 14001 certifications. Customers include TATA Motors, Ashok Leyland & VE Commercial and Meritor. RKFL has always adopted new technologies in order to create and maintain a leadership position in the manufacturing industry and to serve its various clients throughout the world.
The Challenge
Ramkrishna Forgings Limited (RKFL), a leading manufacturer and supplier of open and closed die forgings, was facing challenges in improving the performance and efficiency of large-scale data analysis and integrating data from multiple sources effectively. The company had implemented SAP in 2010 to enhance operational philosophy. However, after two years of using the SAP infrastructure, the IT team at RKFL felt that the tools reporting and analytics lacked flexibility and performance to deal with large data volumes from SAP and other non-SAP data sources. Managers used to pull together SAP-reports and analysis using Microsoft Excel, often resulting in inconsistent and incomplete reports. The organization wanted a solution that would be intuitive and simple to use, integrate with the existing SAP applications, deliver deep data analysis capabilities in real-time, and could be accessed anytime using popular mobile devices.
The Solution
RKFL deployed the QlikView business discovery platform as its single reporting and analysis tool to inform strategic decision making. The QlikView solution, through its unique in-memory associative technology, delivers rapid data visibility and exceptional decision-making agility for the entire business through a single solution. The solution enables all standard BI capabilities including predictive analysis, ‘what-if’ scenarios, dashboard KPIs, balanced scorecards – and more, at the speed of business. Thanks to the flexibility of the tool, RKFL can now easily adapt to daily demand changes and order flows. They are also in a position to ensure the right product mix is available to customers at the right time. The transformation has been exemplified by the shift to a user-friendly, ‘self-service’ data analysis environment.
Operational Impact
  • Transformed data analysis capabilities with the deployment of the QlikView business discovery platform.
  • Shift to a user-friendly, ‘self-service’ data analysis environment.
  • Ability to easily adapt to daily demand changes and order flows.
  • Ensured the right product mix is available to customers at the right time.
  • Users have the ability to visualize information in a wide variety charts, graphs and tables, as well as the ability to interact with SAP data in real time.
Quantitative Benefit
  • Improved data accuracy by up to 40 percent
  • Reduced IT support for BI by up to 90 percent

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