Wipro Technologies Ltd. - 2015 Innovation Award Winner for Partner Solution Excellence
Company Size
1,000+
Region
- Asia
Country
- India
Product
- Looking Glass
- webMethods
- Apama
- Terracotta
Tech Stack
- Big Data Streaming Analytics
- In-memory Data Management
- Integration
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Electronics
- Utilities
Applicable Functions
- Maintenance
- Product Research & Development
Use Cases
- Predictive Maintenance
- Remote Asset Management
Services
- Software Design & Engineering Services
- System Integration
About The Customer
Wipro Technologies is a leading systems integrator, consulting, and services company. It is a 7 billion euro company with a workforce of 160,000 employees. The company has a global presence with customers in 60 countries, more than half of which are FORTUNE® 500 companies. The company is headquartered in India.
The Challenge
With the prediction of 50 billion devices being connected by 2020, the Internet of Things is revolutionizing every aspect of life. Wipro Technologies, a leading systems integrator, consulting, and services company, is at the forefront of this transformation with its Looking Glass solution—an Internet of Things solution for smart, connected products. The challenge was to leverage the power of IoT to increase ROI, customer satisfaction, and revenue for enterprises across various industries.
The Solution
Wipro's Looking Glass solution combines integration, big data streaming analytics, and in-memory data management from Software AG’s Digital Business Platform. Using webMethods, Apama, and Terracotta, one leading imaging company can integrate, capture, analyze, and respond to data captured by embedded sensors in remote printers at customer sites. This allows the company to understand and act immediately on real-time maintenance data to proactively increase service levels, drive down costs, and maximize asset uptime, utilization, and placement.
Operational Impact
Quantitative Benefit
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