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Intelligent Data Advisor (IDA)

Your Fastest Path to AI-Ready Data
 

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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 

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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.

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.

Domain-Specific Intelligence

Domain-Specific Intelligence

Pre-built Universal Data Model (UDM) mappings industry standards and compliance norms.


LLM-Powered Semantic Enrichment

LLM-Powered Semantic Enrichment

Uses LLMS to understand context and meaning within data structures improving accuracy in schema mapping.

Automated UDM Generation

Automated UDM Generation

Dynamically generates AI-ready unified data schemas optimized for ML workflows.


Transparent Explainability

Transparent Explainability

Every recommendation comes with clear justifications, helping data teams trust and act on insights.


ida-how-it-works

Business Use Cases

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

Healthcare & Life Sciences

Healthcare & Life Sciences

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

Banking, Financial Services & Insurance (BFSI)

Banking, Financial Services & Insurance (BFSI)

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

Telecom & Media

Telecom & Media

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

Manufacturing & Supply Chain

Manufacturing & Supply Chain

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

Business Benefits of Using IDA

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

  • Faster AI Readiness

    Faster AI Readiness

    Automates discovery, assessment, and schema optimization reducing manual effort by up to 70%.

  • Regulatory Confidence

    Regulatory Confidence

    Built-in PII detection and UDM conformance ensure compliance across geographies and industries.

  • Data-Driven Modernization

    Data-Driven Modernization

    Brings AI-readiness insights into every data modernization or migration initiative.

  • Improved Model Accuracy

    Improved Model Accuracy

    Ensures ML workflows start with high-quality, structured, and semantically enriched data.

  • Reduced Cost of Transformation

    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.

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.