Today’s economies are reliant on industrial internet platform that consume petabytes of data from machines, sensors, devices, mobile and fixed assets and captures the true value of data through smart insights. Wipro in alliance with the enterprise vendor Software AG has created a streaming analytics platform that would help enterprises develop IoT applications. The platform combines Wipro’s support services with Software AG’s streaming analytics product suite. The platform has been named Wipro Looking Glass.
It has been essentially designed for companies who intend to create software which can draw information out of high-speed, real-time data from devices. Moreover, an IoT ecosystem must imbibe the ability to build and evolve apps swiftly, so that they can analyze fast, big data, besides allowing firms to make informed decisions.
A modular and scalable cloud agnostic IoT platform and services offering, Wipro’s Looking Glass is offered as a federated SaaS which provides Asset Management Services based on common toolset.
Understanding the technology behind Looking Glass
The platform combines real-time analytics engine, in-memory database technology, a real-time user interface, and mash-up technologies at its core. This allows the platform to integrate, capture, and continuously analyze streaming IoT data.
Looking Glass consists of components that scale in high-speed and big-data environments. Thus, the platform can be utilized across several industry verticals, for say, financial services, manufacturing, supply chain, and telecoms. Moreover, enterprises can run the platform on premise, or host it in a single cloud or multiple clouds simultaneously.
The underlying technology allows the industrial internet platform to manage both connected and offline products of a manufacturing company. This allows both internal and external customers to view and maintain their asset installed base data. The unique modeling framework helps organizations model both complex asset relationships as well as their sales and distribution channels.
The key elements of Wipro Looking Glass
The IoT platform from Wipro integrates several features and underlying components which make the platform efficient. Let’s take a look at the key features of Wipro Looking Glass:
- The platform is cloud agnostic: This means that Looking Glass can be hosted on any preferred Cloud environment.
- The platform integrates a Semantic Graph Model: This feature allows the platform to model assets, components, sales and ownership network, service contracts, people, and organizations.
- Looking Glass is based on a Hybrid architectural design: The platform ensures 80% of the core as standard and 20% as customization, to reflect upon the brand and differentiators.
- Looking Glass reflects upon N Scale architecture: The platform can scale infinitely to handle large volumes of assets and data.
- Multi dimension asset data sharing is possible with Looking Glass: The platform is run based upon custom rules which automate data containment in different shards as per BU, geo, and other parameters.
- The platform includes Hyper dimensional modeling framework: This feature allows users to mash up data from multiple systems to create a consolidated, real time single virtual record.
What can Wipro Looking Glass do for businesses?
Wipro’s IoT platform provides users with a unified view of installed base data, which comprises data pertaining to customers, sales, services, and the partnership network. Users utilize the platform’s modeling capabilities to generate insights and identify opportunities for monetizing the installed base.
This is not all, the platform can uniquely combine IB and asset data between multiple systems in real time. This allows manufacturers to create and experiment with new service models, besides enabling to personalize offerings for their customers.
With Looking Glass, users can also optimize their aftersales business. Users can derive insights from asset, and share the information with their ecosystem partners to improve uptime, SLA achievement, and customer experience.
Taking a look at the key advantages of Wipro Looking Glass:
The platform is secure: The platform allows users to enable complex authorization schemes while managing security.
- Looking glass provides flexibility: The platform can easily integrate with existing applications and data, thus offering the ability to easily create new value-added applications.
- The platform has robust Connectivity: Looking Glass allows easy retrofit of existing installed base, using lightweight software agent solutions. This also results in low cost per connection.
- Looking Glass provides optimum scalability: The platform is capable of handling high data volume and velocity. Besides, it can scale billions of objects and assets with hundreds or thousands of data points per asset, providing the ability to quickly onboard the platform.
- The platform provides Operational Intelligence: Wipro’s Looking Glass is enabled by real-time streaming analytics and complex data asset modeling, which provides organizations with a competitive edge in the market.
- The platform integrates real-time analytics and provides optimum user experience: Looking Glass reflects the capability to support real-time data analytics with fast in-memory database technologies. Moreover, user experience is enhanced as the platform boasts about endless visualization possibilities.
How has the IoT platform fared so far in the competitive market?
Wipro is uniquely positioned within the IoT market. The firm is capable of drawing up and implementing highly individualized projects to ensure value add for its clients. This model presents a wide-angle view into client needs. This has earned the organization over 30 primary partnerships spanning the entirety of the IoT stack.
Wipro offers its clients a diverse suite of IoT functionality. The organization plays the role of an orchestrator, enabling customized need-based IoT prescriptions. This allows SIs and outsourcers to drive increased value for clients in comparison with direct IoT platform subscriptions. In terms of competition, Wipro’s IoT-based platform can be pit against ‘do it all’ IoT platform companies.
Wipro extends its IoT platform to a leading construction equipment OEM – a Case Study
A UK-based leading construction equipment OEM was witnessing significant profitability losses as the OEM’s dealers were losing service revenue to third party service providers. The OEM had an employee base of over 12,000, and their products reached markets in about 150 countries, leveraging a formidable network of over 2000 dealers.
The client and its dealers had to keep large inventory of spares in order to maintain equipment uptime. This translated into higher service cost, which was a challenge for the organization. Moreover, there wasn’t any remote visibility into an equipment’s operational parameters, which meant that the service model used was a traditional, break-x model, where a technician is dispatched after an equipment failed. This only meant higher equipment downtime and reduced efficiency.
Wipro started off by defining the business case and value for different stakeholders such as the OEM, dealers, and the end customer. Most importantly, Wipro implemented its Looking Glass IoT platform, combining together software, firmware, hosting, database, enterprise integration, texting (SMS), and mapping services. The IT organization further helped the OEM by taking up end-to-end ownership of platform delivery and support for around 160,000 assets in 5 years.
Business impact of the solution:
- The solution helped enhance service revenue by providing better visibility into service and repair needs of equipment, under dealers of the client.
- Looking Glass shall help towards reducing the service operations cost by up to 10-15%.
- The solution also helped improve end owner retention and loyalty by up to 10-12%.
The foundation framework of looking Glass allow organizations to develop customized apps for IoT, faster and cheaper. Moreover, the integration of cloud-hosted analytics and algorithms, which can be accessed by sensors and devices, helps in making jobs such as process updates, event responses, and machine behavior much easier.
Let’s take the case of an industrial equipment manufacturer with an annual revenue of over $10 billion. Research and experience has proved that there is an opportunity to reduce the cost of service by $140 million. This can be achieved through enabling predictive maintenance, improved parts planning, and better preventive maintenance scheduling. Looking Glass is the appropriate tool for enterprises to do so.