Point Of View
Infosys BPM analytics services and business analytics services focus on improving business outcomes for different business units, leveraging domain expertise and technology to unlock value across the analytics lifecycle.
We leverage the power of data combined with our domain expertise and technology prowess to unlock business value across enterprises by focusing on business metrics that add to the top-line and profitability of your business.
We target business outcomes across the analytics pyramid by leveraging our team of in-house experts, extensive domain expertise across business analytics services, and industry-leading business intelligent tools and technologies. Through the practice, we provide a range of business analytics solutions – from advisory to model development, support, maintenance and enhancements, and statistics/data science. We drive process optimization and innovation by leveraging:
Bringing values to businesses through our products and services
Case Study
Case Study
Case Study
Discover services and solutions that can make your data do more
BPM analytics services improve measurable business outcomes: lower cost-to-serve, faster and better decisions, reduced risk, and revenue uplift through real-time data analysis.. By combining domain expertise with data extraction, visualisation, and advanced modelling across the analytics lifecycle, they turn operational data into decisions that move top-line and bottom-line metrics, rather than producing reports that sit unused.
Business analytics services are the broad practice of turning data into decisions across functions, spanning advisory, model development, visualization, and insight generation, all within a robust framework. Analytics-as-a-service is a delivery model that provides those capabilities on demand through a managed, scalable engagement. Enterprises use the broad services for transformation and the as-a-service model for flexible, ongoing capacity without building the team in-house, allowing them to focus on enhancing customer experience.
Evaluate domain depth across your industry, breadth across the analytics lifecycle (extraction, visualisation, modelling, and insight), and the technology and tools the partner brings. Assess proven business outcomes, delivery scale, and whether the partner works across in-house, licensed, and open-source tools. The strongest partners tie analytics directly to business metrics rather than delivering dashboards without decisions.
It spans data extraction and preparation, transformation, visualisation, advanced statistics and model development, and ongoing support, maintenance, and enhancement. Mature engagements add advisory at the front and model monitoring at the back, so analytics is a continuous capability tied to business processes, not a one-time project.
Outsourcing analytics gives enterprises immediate access to skilled talent, tooling, and process discipline without the capital cost of building the capability, thereby accelerating their analytics capabilities. A managed partner standardises data pipelines, applies benchmarking, and surfaces inefficiency across the value chain, reducing cost while improving the speed and quality of decisions across business units.
AI and advanced analytics support prescriptive and predictive decisions across finance, procurement, marketing, fraud, and operations: forecasting, anomaly detection, optimisation, and personalisation. Applied within business processes rather than in isolation, they shorten the path from data to action and compound value as models learn from operational feedback.
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can serve you better.
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