Skip to content
Contact us

Intelligent Data Advisor (IDA)

Your Fastest Path to AI-Ready Data

 
Book a Demo

Trusted by Leaders

Testimonials

Testimonial-image

I needed a cost-effective transaction monitoring tool which would identify high-risk transactions, flag potential control weaknesses, improve over time through machine learning, reduce the number of false positives reviewed by the compliance team and be user-friendly in terms of configuration and visualization. konaAI delivers on all counts, and I was very pleased with the choice we made.

Amay Sharma
CEO, Unblast 

Driving Success Through
Strategic Partnerships

Resources & Articles

Our story

Lorem ipsum

Lorem ipsum dolor sit amet consectetur. Mattis venenatis justo ornare rhoncus aenean pretium amet donec. Auctor tempor ultrices scelerisque.

Case Study

 

Read MoreGroup 310
Our story

Lorem ipsum

Lorem ipsum dolor sit amet consectetur. Mattis venenatis justo ornare rhoncus aenean pretium amet donec. Auctor tempor ultrices scelerisque.

Case Study

 

Read MoreGroup 310
Two people at computer

Lorem ipsum

Lorem ipsum dolor sit amet consectetur. Mattis venenatis justo ornare rhoncus aenean pretium amet donec. Auctor tempor ultrices scelerisque.

Case Study

 

Read MoreGroup 310
Two people looking over phone

Lorem ipsum

Lorem ipsum dolor sit amet consectetur. Mattis venenatis justo ornare rhoncus aenean pretium amet donec. Auctor tempor ultrices scelerisque.

Case Study

 

Read MoreGroup 310
Two people working with sticky notes on wall

Lorem ipsum

Lorem ipsum dolor sit amet consectetur. Mattis venenatis justo ornare rhoncus aenean pretium amet donec. Auctor tempor ultrices scelerisque.

Case Study

 

Read MoreGroup 310
Overview

The Intelligent Data Advisor (IDA) is a Google Cloud–native solution that helps enterprises evaluate, standardize, and optimize their data for AI adoption.

It provides end-to-end visibility into data quality, structure, and compliance posture, automatically profiling datasets, identifying readiness gaps, and recommending the most efficient path to AI enablement.

From automated discovery to semantic enrichment and schema optimization, IDA empowers organizations to make confident, data-driven decisions about AI readiness, across industries, geographies, and regulatory environments.

accelerators-key-capabilities

What Does This Do Better Than Others?

Unlike traditional data assessment tools, IDA is purpose-built for AI readiness — combining domain intelligence, automation, and explainability into a single, integrated platform.

What makes IDA different:
  • Domain-Specific Intelligence: Pre-built Universal Data Model (UDM) mappings for BFSI, Healthcare, Manufacturing, and Telecom — ensuring alignment with industry standards and compliance norms.
  • LLM-Powered Semantic Enrichment: Uses large language models to understand context and meaning within data structures — improving accuracy in schema mapping and feature recommendations.
  • Automated UDM Generation: Dynamically generates AI-ready unified data schemas optimized for ML workflows.
  • Cloud-Native by Design: Fully integrated with Google Cloud’s security, scalability, and deployment stack — ready for enterprise environments.
Explore Real-Time Data Ingestion

How It Works

Workflow / Tech Stack Overview

IDA operates as an intelligent, modular pipeline built on Google Cloud’s native services:

Discovery & Value Mapping-1
Step 1:
Data Discovery & Profiling
  • Connects seamlessly to databases, data lakes, and warehouses (BigQuery, MySQL, PostgreSQL, Oracle, Snowflake) to profile datasets capturing data types, quality metrics, and readiness attributes.
Discovery Analytics
Step 2:
Semantic & Lineage Analysis
  • Maps relationships across tables, systems, and domains with advanced lineage tracing and semantic understanding.
assessment_11731589
Step 3:
AI Readiness Assessment
  • Scans Applies a multi-dimensional scoring model across completeness, consistency, timeliness, accuracy, and ML compatibility.
Metadata Catalog Platforms
Step 4:
DataSmart Recommendations
  • Generates AI-driven schema designs, feature engineering suggestions, and compliance mappings.
Ready-to-integrate-at-ease
Step 5:
Governance & Compliance Integration
  • Integrates with DLP, IAM, and GCP-native governance tools to ensure enterprise-grade data security and traceability.
Why-It-Unique

Use Cases

IDA is adaptable across major data-intensive industries delivering specialized models and regulatory alignment.

Automated-Health-Monitoring

Healthcare & Life Sciences

HIPAA-compliant assessments, clinical terminology mapping, and patient data privacy assurance.

money-management_10399378

Banking, Financial Services & Insurance (BFSI):

PCI DSS–aligned data models, automated risk data mapping, and compliance scoring.

Trigger Remediation Workflows

Telecom & Media

Network data analytics readiness, streaming data profiling, and customer experience model optimization.

ML-Frameworks

Manufacturing & Supply Chain

Industrial IoT readiness, predictive maintenance frameworks, and visibility mapping across operations.

Frame 20

Business Benefits of Using IDA

IDA accelerates enterprise AI transformation by bridging the gap between data readiness and AI deployment.

Key Outcomes:
  • Faster AI Readiness: Automates discovery, assessment, and schema optimization reducing manual effort by up to 70%.
  • Regulatory Confidence: Built-in PII detection and UDM conformance ensure compliance across geographies and industries.
  • Data-Driven Modernization: Brings AI-readiness insights into every data modernization or migration initiative.
  • Improved Model Accuracy: Ensures ML workflows start with high-quality, structured, and semantically enriched data.
  • Reduced Cost of Transformation: Minimizes rework, redundancy, and compliance risks during AI enablement.

See How IDA Accelerates Your AI Readiness Journey

Discover how leading enterprises are transforming their data for AI-driven success.

Book a Demo

 

Insights

Frequently Asked Questions

Is IDA only for organizations on Google Cloud?

While IDA is optimized for GCP environments, it can integrate with multi-cloud data sources such as AWS and Azure through standard connectors.

What kind of data sources can IDA connect to?

IDA supports a wide range of databases and platforms including BigQuery, MySQL, PostgreSQL, Oracle, and Snowflake.

How is AI readiness scoring determined?

The scoring engine evaluates datasets across dimensions like completeness, consistency, accuracy, and ML compatibility — providing a transparent, quantifiable readiness index.

Can IDA handle industry-specific data standards?

Yes. IDA includes pre-built Universal Data Models (UDMs) for BFSI, Healthcare, Manufacturing, and Telecom, ensuring regulatory alignment and data model consistency.

How does IDA ensure data security?

IDA integrates with Google’s DLP and IAM frameworks to manage access control, data masking, and audit trail generation for full compliance visibility.