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Overview
The modern data and analytics landscape is being redefined by AI. Enterprises don’t just need clean, governed data, they need data that’s ready to fuel predictive models, Gen AI apps, and autonomous agents at scale. Many data-driven organizations remain under-resourced and siloed, making it hard to convert the volume of data at their disposal into trusted, actionable insight.
Innova Solutions enables AI through data readiness—applying AI across the entire data lifecycle, from modernizing legacy environments to engineering resilient pipelines, consolidating BI, operationalizing data science and GenAI, and embedding governance and observability from day one. We combine deep platform expertise with a library of reusable, named accelerators to compress time-to-value and de-risk enterprise AI adoption.
How Innova Activates It
Readiness & Roadmap
Trusted Foundations
Native-AI Accelerators
Agentic Analytics & Adoption
Offerings
Modernizing legacy data platforms for cloud-native, AI-ready architectures
Legacy data architectures hold enterprises back—brittle pipelines, sprawling technical debt, and architectures never built for AI. We take a cloud-first, AI-driven approach to modernization, using AI to assess, design, and migrate faster while cutting risk out of every wave.
Estate Assessment & Planning
AI-based analysis of schemas, jobs, and lineage to size and phase the migration
Architecture for AI Readiness
AI-assisted data architecture for the target platform and medallion design
Cloud Migration & Re-platforming
AI-driven legacy SQL, procedures, and ETL conversion into target-platform code
Resilient, self-healing pipelines and trusted master data built for AI at scale
Great analytics and AI start with great pipelines. We build and modernize data infrastructure that’s resilient by design—engineered with AI to move faster, catch issues before they break downstream, and keep master data trustworthy at scale.
Pipeline Build & Modernization
AI-generated and reviewed ETL/ELT code from mapping specifications
Data Modeling
AI-proposed conformed models and flagged schema drift before loads break
Master Data Management
AI-driven record matching, merging, and survivorship with LLM-assisted matching
Consolidated BI and conversational, self-service insight generation
Dashboards alone don’t drive decisions—answers do. We consolidate fragmented BI estates and layer in conversational, self-service analytics so business users get insight in plain language, not just charts.
BI Consolidation & Migration
AI-assisted reports conversion across BI platforms, with unused content flagged
Self-Service Analytics
AI-enabled answers to business questions in natural language over governed models
Insight Generation
AI-assisted EDA and identification of what changed, why it changed, and what to look at next
From predictive ML to production-grade GenAI, fully operationalized
Models only create value once they’re in production and trusted. We help organizations move from predictive ML to fully operationalized GenAI and agentic solutions—accelerating model development while keeping quality, drift, and cost under control.
Predictive & Statistical ML
AI-enabled feature engineering, model selection, and tuning
MLOps & LLMOps
AI-driven monitoring of drift, model quality, and inference cost in production
GenAI & Agentic Solutions
RAG and multi-agent patterns over governed enterprise context
Proactive, AI-driven trust—quality, lineage, and security built in
Trust is the currency of AI-ready data. We embed quality, lineage, and security into the data lifecycle itself, using AI to catch issues before they become incidents and to keep sensitive data classified, tracked, and protected.
Data Quality & Observability
AI infers rules from the data and predicts failures before SLAs slip
Metadata, Catalog, & Lineage
AI-assisted classification of assets and drafting of business glossaries
Security & Compliance
AI-driven detection of sensitive data and anomalous access patterns
Our Accelerators
Data Modernization
- ETL Migration Accelerator
AI-led migration of ETL pipelines across platforms (SSIS, DataStage, Informatica, Python, dbt, ADF, etc.) - Data Mapping Generator
Auto-generates source-to-target mappings using semantic similarity and schema matching - Schema Drift Detector
Detects structural schema changes across versions (additions, removals, type changes) with AI migration plan - AI-Assisted Data Modeling
AI generates a Star Schema, Snowflake, or 3NF model with DDL and ETL migration plan
Data Engineering
- ETL Script Generator
Generates production-ready PySpark or SQL transformation scripts from requirements using RAG - ETL Static Code Analyzer
Scans ETL scripts for anti-patterns, BigQuery compatibility, and security risks - ETL Pipeline Data Validator
Compares source vs. output datasets to detect mismatches and AI-powered root-causes - Automated Data Profiling
Comprehensive statistical analysis of datasets to detect anomalies and distributions - AI-Assisted Data Modeling
AI generates a Star Schema, Snowflake, or 3NF model with DDL and ETL migration plan
Data Visualization
- AI for BI
Generates instant visualizations and business answers from data in plain English - PRISM NOVA
An AI-powered data profiling and quality intelligence platform that scores datasets across 6 quality dimensions - Library of Visualization Templates
A curated set of pre-built, standardized dashboard and chart templates covering common business patterns enabling faster BI development across BI tools - BI Factory
A standardized offshore delivery framework for BI report migration and dashboard development, with built-in quality checks and scalable resourcing based on workload volume
Data Science
- IDSP (Intelligent Data Science Platform)
A modular AI/ML platform spanning the full lifecycle (ingest → train → deploy → serve → monitor), covering chatbots, predictive modeling, anomaly detection, and unstructured document/information extraction, deployable as API or package, cloud or onprem - MLOps / LLMOps Framework
A standardized framework for deploying, versioning, and operationalizing both traditional ML models and LLM-based applications, covering CI/CD for models, prompt/version management, and automated retraining pipelines across cloud platforms - RAG & Agentic AI Framework
A reusable framework for building RAG and multi-agent AI solutions, combining enterprise knowledge bases with LLMs for grounded, context-aware responses, and orchestrating autonomous agents for multi-step workflows - Model Monitoring & Feature Store
A centralized framework for tracking model performance, drift, and data quality in production, paired with a reusable feature store that standardizes feature engineering and sharing across ML projects to reduce duplicate work
DataOps & Governance
- Data Quality Rule Generator
Automatically suggests and applies data quality rules based on data profiling - Data Lineage Tracker
Visualizes column-level lineage to understand data impact and origins across systems - Metadata Harvester
Intelligently crawls and catalogs technical metadata from disparate data sources - Data Reconciliation Engine
Compares source vs. target datasets row-by-row—detects mismatches, missing records, value drift, AI root-cause analysis - Schema Drift Detector
Detects structural schema changes across versions (additions, removals, type changes) with AI migration plan
Success Story
Minimizing Prior Authorization Processing Time with AI-Driven Clinical Evidence Automation
The Innova Edge
Years of enterprise data
and AI experience
Data engineers with deep data,
AI, and cloud expertise
Outcome-driven delivery focused on measurable business impact
Governance-first approach with security, compliance, and responsible AI built in
Accelerators that accelerate
implementation and time to value
Platform-agnostic expertise across Databricks, Snowflake, Microsoft Fabric, AWS, Google Cloud, and more
Harness AI to Optimize Your Entire
Data Lifecycle
Let us show you how we enable AI through data readiness—applying AI across your data lifecycle.