Overview

In today’s connected world, to differentiate and compete, leading organizations are generating opportunities by leveraging cutting-edge analytics. Regardless of where you are in your data and analytics journey, we can partner with you to help you derive this value from your data at an industrialized scale with ensured adoption.

Infosys provides services covering the whole spectrum of Analytics work done in an organization, from Insights and Modeling to AI and ML. We also enable mining of value, through embedding analytics in the enterprise’s processes and systems. Through technology and consulting, we ensure the adoption of scientific decision- making across the enterprise, rather than in pockets / silos.

Service Offerings

Advisory Services

• Maturity assessment
• Strategic roadmap definition
• Governance setup
• Domain and |technical consultancy
• Setup and operationalize analytics CDE

• Maturity assessment report
• Service catalog
• Roadmap document

Rapid Insights

• Business Context Mapping
• Exploratory data analysis | plot, tabulate, summarize data
• Root cause analysis
• KPIs and trends by key slices
• Adjusting performance by known factors and benchmarking
• Presenting insights to business via data-driven narratives

• Reporting dashboards, cubes with key metrics and drilldowns
• Annotated graphics of metrics
• Analysis summary on past events
• Variance analysis and alerts
• Discovery of unusual platforms

Predictive Modeling

• Business care elucidation
• Quantitative problem definition
• Data mining/feature engineering
• Algorithm selection
• Model training/learning
• Model performance assessment

• Technical model report
• Model specification
• Model performance and business impact measurement
• Boundaries of model applicability
• Model deployment

Model Support and Enrichment

• Production support for deployed models
• Model performance assessment
• Model (Re) calibration
• Functional model validation (domain)
• Model migration and upgrades

• Existing model diagnostics report
• New model validation summary
• Domain specific recommendations
• Acceptability per regulatory and compliance norms

Prescriptive Analytics/ Decision | Science

• Experimental design [A/B testing]
• Hierarchical and ensemble methods
• Constrained optimization
• Automated what-if analysis
• Sensitivity analysis for robustness

• Technical model report
• Optimal decisioning strategy
• Model performance
• Boundaries of model applicability
• Model deployment

Artificial intelligence

• Recommendation engine, document clustering
• Text mining, sentiment analysis
• Topic models, named entity recognition
• Image, video, and speech analysis
• Anomaly/intrusion/threat detection

• Dynamic n/w analysis
• Technical model report
• Solution performance for key facets
• Boundaries of solution applicability
• Solution deployment