| Product | Market Share (%) |
|---|---|
| Infosys Data Analytics | 4.6% |
| LTI Data Analytics Services | 1.4% |
| Other | 94.0% |
Data is the life and blood of an enterprise that aspires to be digital. It is that strategic asset that helps the business learn about evolving opportunities, hidden threats, changing customer expectations and the competitive landscape, in context and in time to respond meaningfully. This, in turn, helps to automate the supply chain, drive continuous innovation, and create micro-moments based customer experience. Artificial Intelligence powers the core of this data-driven enterprise and creates signals that then act on the business to bring transformational value. And when this is enabled in a Do-it-Yourself culture, everyone, at any given time, is able to move quickly, in the right direction to defend, differentiate and even reimagine the business.
We help our clients adopt this approach to ubiquitously create value from data.
We move them away from the conventional use case or point solution-led approach, towards the path to building industrialized capabilities to monetize data. We begin by creating an integrated blueprint of opportunities - unique to their business - for data-led value creation. Thereon we chart the roadmap to incrementally build the capabilities they need to deliver on the blueprint.
LTI Data Analytics Services offer comprehensive data-driven insights tailored for businesses seeking to enhance decision-making processes.
LTI Data Analytics Services provide scalable and secure solutions for interpreting complex data sets. Leveraging advanced algorithms and cutting-edge tools, it transforms raw data into actionable intelligence, enabling businesses to optimize their strategies and achieve superior outcomes. The service is designed to seamlessly integrate with existing systems, ensuring a smooth transition and minimal disruption to operations.
What key features define LTI Data Analytics Services?LTI Data Analytics Services are widely implemented across industries like finance, healthcare, and retail. In finance, it aids in risk management and fraud detection. Healthcare utilizes it for patient data analysis to improve treatment outcomes. In retail, it's applied to customer behavior analysis for better inventory management and personalized marketing strategies.
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