Data and Analytics Services

Hexaware unites Softcrylic’s customer analytics expertise with the automation strength of the Amaze® suite to build AI-first data foundations. Offerings span data-platform modernization, pipeline integration, model unification, compliance, monetization, and advanced analytics. This end-to-end coverage lets clients convert fragmented data into governed, insight-ready assets and sustainable revenue streams while maintaining rigorous security and governance standards.

Effective strategies begin with discovery workshops that link business goals to measurable outcomes. Teams catalog existing data sources, assess quality and compliance gaps, and map a phased roadmap covering modernization, migration, and value-creation milestones. Quick wins—such as unifying customer profiles—deliver early benefit, while longer-term steps introduce advanced analytics and governed self-service to support ongoing growth.

AI widens the reach of analytics by automating pattern detection, forecasting, and personalization at scale. Machine-learning models surface trends hidden in raw data, power real-time recommendations, and refine insights continuously as new information arrives. Generative models further accelerate storytelling and decision support by converting complex findings into plain-language narratives that nontechnical stakeholders can act on quickly.

Value emerges when data is cleansed, integrated, and aligned with revenue objectives. Organizations first standardize ingestion, metadata, and governance, then layer analytics that target cost reduction, customer retention, or new-product insight. Monetization opportunities include packaging anonymized benchmarks, offering predictive services to partners, or embedding analytics into customer-facing apps, turning information assets into recurring income.

Quality management relies on automated checks at every hand-off. Standardized pipelines validate formats, enforce business rules, and tag lineage. Continuous profiling flags anomalies early, while reconciliation processes keep replicas in sync after migrations. Governance dashboards surface issues in real time, and privacy controls ensure compliance—collectively preserving accuracy, completeness, and trust across the enterprise.

Operational analytics combines real-time monitoring with predictive modeling to highlight bottlenecks and forecast demand. Dashboards track key metrics such as inventory turns, service levels, or machine health, while models recommend optimal staffing, routing, or maintenance schedules. Acting on these insights reduces downtime, trims costs, and boosts agility, ultimately improving customer satisfaction and competitive positioning.