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Data Monetization
We all are witnessing the Data and Analytics revolution that is responsible for the next Human Evolution – an Evolution where Human capabilities are being significantly amplified. The backbone of this revolution is the technological advancements happening in the areas of social/ mobility, IoT/Digital, disintermediation and AI/ML. We are living in a fast-paced, digital world that is continuously looking for ways to discover, analyze and actionize the information in real-time to serve us better.
Infosys Data Analytics envisions an analytics-driven enterprise that delivers on its promises of industrialized and cutting-edge capabilities through a strategic approach for sustained Monetization. We believe that this holistic approach will create 100x possibilities to drive new markets, new experiences that consumers value, greater efficiencies and even better risk management.
The 100x possibilities are underpinned by these distinct pillars that enable data monetizing:
Value Lever | Operational Lever | Capabilities Enabled by Analytics |
---|---|---|
Increase Revenue | Improve Velocity Increase Service Levels | Customer Intimacy, Operational Efficiency, Newer Revenue Models & Risk Mitigation |
Reduce Cost | Reduce Fuel Costs Reduce Crew Costs Improve Schedule Compliance Improve Problem Recovery Reduce Compliance Costs Reduce Time to Compliance | Customer Intimacy, Operational Efficiency, Newer Revenue Models & Risk Mitigation |
Reduce Working Capital | Improve Capacity Improve Equipment Turns | Customer Intimacy, Operational Efficiency, Newer Revenue Models & Risk Mitigation |
Our strategic approach to monetize data:
The strategic approach addresses three key imperatives of data provisioning, data consumption and the organization culture that binds them together within the enterprise.
Here are some of our solutions that are helping clients make Data Do More
Infosys Analytics Workbench - Currently, 80% of the time gets spent on Data Acquisition and Preparation and only 20% is actually spent on Analytics. Infosys is reversing this equation and helping our clients scale up analytics, with
Infosys’ Analytics Workbench, which empowers Agile Analytics. This solution is powered by a loosely coupled Architecture which accelerates the Time to Insight, enables Self Service analytics, faster Data Extraction and Decision making. It also puts the power in the hands of the business user to tweak and experiment with the analytical models, without the need for extensive training or in-depth knowledge of data science.
Infosys Genome Solution is a domain specific solution to accelerate the journey from data to insights to realize business outcomes. Genome solutions’ capabilities like the Data Intelligence Grid – a Pre-fabricated repository of multi-dimensional behavioral attributes or genes, Boundary-less data access for automated data integration, Identity resolution to match external and internal entities etc., helps to decode the customer DNA by creating networked data products. The pre-built model libraries within the Genome solution facilitate fast-tracking mining the data for insights. We have created the Customer Genome for customer analytics (across industries), Supplier & Product Genome for supply chain analytics and Asset Genome for asset analytics.
Infosys NIA is an open source based data analytics platform that enables businesses to operationalize their data assets and uncover new opportunities for rapid innovation and growth. This end-to-end Framework for Data Science encapsulates functionality for data integration, data preparation, modelling, deployment and reports while providing Data Security, Transparency, Reliability, Auditability and Self Service Provisioning with elastic scaling for cloud deployments with Infosys cobalt.
Infosys Supply Chain Early Warning Solution enables insulating businesses from disruption.
The solutions help organizations to identify and predict relevant disruptions to take preventive measures.
Know how you can turn your enterprise into an analytics driven one
TALK TO OUR EXPERTSEnd-to-end Industry specific Data Monetization Framework. Each framework connects the dots from business-drivers to business-capabilities – data & analytics capabilities – Process capabilities
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