Altair Case Studies Optimizing Software Investments through Business Analytics: A Case Study on Bajaj Auto

	Optimizing Software Investments through Business Analytics: A Case Study on Bajaj Auto Altair

Optimizing Software Investments through Business Analytics: A Case Study on Bajaj Auto

Altair

Technology Category	Functional Applications - Inventory Management Systems Functional Applications - Product Lifecycle Management Systems (PLM)
Applicable Industries	Automotive Equipment & Machinery
Applicable Functions	Procurement Warehouse & Inventory Management
Use Cases	Inventory Management Time Sensitive Networking
Services	System Integration
Challenge	Bajaj Auto, the third largest motorcycle manufacturer and the world’s largest producer of three-wheelers, was facing challenges in managing and controlling its enterprise software assets. With software procurement becoming a rising cost of doing business, software inventory management, license utilization rates, and charge-back accounting became critically important for accurate capacity planning and budgeting. Bajaj Auto's senior management was struggling to 'right-size' their product lifecycle management (PLM) software investments against organizational productivity. The company found it difficult to consolidate the total number of licenses and understand the usage of PLM, CAD, CAE, CFD, and NVH software for capacity planning to support its R&D staff. The company also discovered that up to 25% of procured software was significantly underutilized or not utilized at all. The lack of visibility into distributed systems and minimal accounting for procured software assets further complicated the situation. Read More
About Customer	Bajaj Auto is an Indian motorcycle manufacturer founded in 1926 by Shri Jamnalal Bajaj. It is the third largest motorcycle manufacturer and the world’s largest producer of three-wheelers. The company has plants located in Waluj, Chakan, and Pantnagar and produced a landmark 4.32 million two- and three-wheeler units in FY2011-12. Bajaj Auto is dedicated to bringing high-performance motorcycles to market with uncompromising quality. Innovation through research and development (R&D) is a market differentiator for Bajaj. The company's R&D facility located in Akurdi Pune is recognized by the Indian government and has numerous patents in and around its product lines. Read More
Solution	To address these challenges, Bajaj Auto partnered with Altair to implement a robust software asset optimization (SAO) solution. The SAO solution consisted of five main components: Data Layer, Data Collection Agents, Data Consolidation, Data Analysis and Analytics, and Presentation Layer. The solution provided on-demand software inventory visibility and system-aware alerts for license expirations, denials, and renewals. It also offered software license utilization statistics by vendor, by feature, by shift, by division, etc., and objective data and metrics to support capacity planning, software procurement decisions, and vendor negotiations. The solution was pre-configured for the most popular license servers and managers, requiring only a network connection to these servers and the installation of data collection agents to deploy a working solution. Within days of installing the data collection agents, Bajaj was able to visualize license server information and perform advanced analytics. Read More Log in to view content
Contents

Technology Category

Functional Applications - Inventory Management Systems

Functional Applications - Product Lifecycle Management Systems (PLM)

Applicable Industries

Automotive

Equipment & Machinery

Applicable Functions

Procurement

Warehouse & Inventory Management

Use Cases

Inventory Management

Time Sensitive Networking

Services

System Integration

Challenge

Bajaj Auto, the third largest motorcycle manufacturer and the world’s largest producer of three-wheelers, was facing challenges in managing and controlling its enterprise software assets. With software procurement becoming a rising cost of doing business, software inventory management, license utilization rates, and charge-back accounting became critically important for accurate capacity planning and budgeting. Bajaj Auto's senior management was struggling to 'right-size' their product lifecycle management (PLM) software investments against organizational productivity. The company found it difficult to consolidate the total number of licenses and understand the usage of PLM, CAD, CAE, CFD, and NVH software for capacity planning to support its R&D staff. The company also discovered that up to 25% of procured software was significantly underutilized or not utilized at all. The lack of visibility into distributed systems and minimal accounting for procured software assets further complicated the situation.

About Customer

Bajaj Auto is an Indian motorcycle manufacturer founded in 1926 by Shri Jamnalal Bajaj. It is the third largest motorcycle manufacturer and the world’s largest producer of three-wheelers. The company has plants located in Waluj, Chakan, and Pantnagar and produced a landmark 4.32 million two- and three-wheeler units in FY2011-12. Bajaj Auto is dedicated to bringing high-performance motorcycles to market with uncompromising quality. Innovation through research and development (R&D) is a market differentiator for Bajaj. The company's R&D facility located in Akurdi Pune is recognized by the Indian government and has numerous patents in and around its product lines.

Solution

To address these challenges, Bajaj Auto partnered with Altair to implement a robust software asset optimization (SAO) solution. The SAO solution consisted of five main components: Data Layer, Data Collection Agents, Data Consolidation, Data Analysis and Analytics, and Presentation Layer. The solution provided on-demand software inventory visibility and system-aware alerts for license expirations, denials, and renewals. It also offered software license utilization statistics by vendor, by feature, by shift, by division, etc., and objective data and metrics to support capacity planning, software procurement decisions, and vendor negotiations. The solution was pre-configured for the most popular license servers and managers, requiring only a network connection to these servers and the installation of data collection agents to deploy a working solution. Within days of installing the data collection agents, Bajaj was able to visualize license server information and perform advanced analytics.

Impact #1	The implementation of the SAO solution significantly improved Bajaj Auto's software inventory management and license utilization. The company was able to have an up-to-date, online reference to its complete software inventory and associated key performance indices across the R&D organization. The solution also provided Bajaj with the ability to understand utilization rates and trends by specific software titles and software features over any time dimension. This information was useful in load balancing license demand and determining the need to procure additional licenses or reallocate underutilized licenses. The solution also enabled Bajaj to monitor and respond to software license denials quickly, minimizing staff productivity losses. The advanced analytics capabilities and ability to perform what-if simulations helped the company understand the impact of decisions or progress towards business goals.

Impact #1

The implementation of the SAO solution significantly improved Bajaj Auto's software inventory management and license utilization. The company was able to have an up-to-date, online reference to its complete software inventory and associated key performance indices across the R&D organization. The solution also provided Bajaj with the ability to understand utilization rates and trends by specific software titles and software features over any time dimension. This information was useful in load balancing license demand and determining the need to procure additional licenses or reallocate underutilized licenses. The solution also enabled Bajaj to monitor and respond to software license denials quickly, minimizing staff productivity losses. The advanced analytics capabilities and ability to perform what-if simulations helped the company understand the impact of decisions or progress towards business goals.

Benefit #1	Within days of installing the data collection agents, Bajaj was able to visualize license server information and perform advanced analytics.
Benefit #2	The company was able to track its complete software inventory portfolio and monitor the availability of critical applications.
Benefit #3	Bajaj was able to understand utilization rates and trends by specific software titles and software features over any time dimension.

Benefit #1

Within days of installing the data collection agents, Bajaj was able to visualize license server information and perform advanced analytics.

Benefit #2

The company was able to track its complete software inventory portfolio and monitor the availability of critical applications.

Benefit #3

Bajaj was able to understand utilization rates and trends by specific software titles and software features over any time dimension.

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Overview

Optimizing Software Investments through Business Analytics: A Case Study on Bajaj Auto

Operational Impact

Quantitative Benefit