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AI Agent Capabilities & Impact Matrix

Analyze specialized agent capabilities within the Datapunkt Intelligence Layer.

Agents Capabilities Impact 24/7 Users
Catalog
Agent
Data Catalog
Semantic Discovery
Business Meta
Data Generation

Minutes instead of Years for Technical & Business Metadata consistency

700$ instead of 150k$ for useless legacy tech-debt catalog solutions

  • Data Owners
  • Stewards
  • Engineers
Data
Lineage
Full Data
Lineages
Full Graph
Relationships
Full Clarify on how
data was transformed

Minutes instead of Months for gathering lineage information

Full clarity on data lineage across full pipeline even if processing by different engines

  • Data Owners
  • Stewards
  • Engineers
Modeling
Agent
Produce Target
Data Model
Raw Layer
Modeling
Curated Data
Modeling

Minutes instead of Quarters for Modeling per each user case

Generate Industrial expertise models with DDLs and full TDD in minutes

  • Data Models
Mapping
Agent
Mapping Source
& Target Schema
Clarify on How Data
is transformed
Operationalisation
Mapping Contract

Minutes instead of Quarters for Mapping and transformation rules

Full clarity instead of Data Mess on how data is transformed and who approved logic

  • Data Scientists
  • Engineers
Synthetic Data
Generation
Generation very close
to PRD data on Dev
Generation Synthetic
Data for AI training
Generation Synthetic
Data for Apps & Systems

Minutes instead of Months for generation Synthetic data for Data engineering and AI training

Full Development on Dev env but not on Production with prod data

  • Data Engineers
  • Developers
Transformation
Agent
Prepare
Transformation Code
Code for any
Technology
Code for any
platform

Minutes instead of years for code development for data transformation

Minutes instead of hundreds FTEs in offshore development

  • Data Scientists
  • Engineers
Data Quality
Agent
DQ Transformation
Rules
DQ Metrics
for Code
DQ Rules
Life Cycle

Minutes instead of Months for generation DQ rules and code to evaluate correctness

Avoid UAT test checking the logic, avoid high-cost ineffective DQ solutions

  • QA
  • Owners
  • Engineers
Data
Architect
Generate Reference
Arch & Use case
Full Consultation
on Data Mgmt
Generation
Terraform Foundation

Minutes instead of Months for preparation HLD, LLD, Solution Architecture

Avoid high cost staff expenses to produce right architecture

  • Data Architect
  • Enterprise Arch
  • Solution Arch
Data Product
Agent
TDD for Data
product
Catalog & Market
place integration
Full Data Product
Discovery

Minutes instead of Months for preparation TDD for the Data products

Avoid poor and incorrect information in you TDD for the each Data Product

  • Data Product owner
Engineering
Support Agent
Terraform to Submit
Transformation Job
Submit
Transformation Job
24/7 Live Screen
Sharing Support

Minutes instead of days for deployment Code

Minutes instead of days for Issue Debugging and no lack of expertise

  • DevOps
  • Data Scientists / Engineers
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