Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification
Delivering accurate, high-volume tagging across diverse sensitive data types

The Ask
Following a data exposure event, a large retail organization needed to tag sensitive data across 900,000 documents, including PII, PHI, biometric, demographic, financial, and employment-related fields. The dataset included over 300,000 spreadsheets – many with multiple tabs and complex formatting – which made manual review inefficient and error-prone. The breadth of tagging (15+ fields and 60+ sub-tags) added further complexity.
Our Solution
01.
Automated Spreadsheet Extraction
Used in-house tooling to extract and consolidate key fields across tabs
01.
Automated Spreadsheet Extraction
Used in-house tooling to extract and consolidate key fields across tabs
01.
Automated Spreadsheet Extraction
Used in-house tooling to extract and consolidate key fields across tabs
02.
Keyword-Driven Batching
Grouped documents based on keyword density and file type for optimized review flow
02.
Keyword-Driven Batching
Grouped documents based on keyword density and file type for optimized review flow
02.
Keyword-Driven Batching
Grouped documents based on keyword density and file type for optimized review flow
03.
Large-Scale Review Ops
Deployed 200+ reviewers with tag-specific workflows and field-level guidance
03.
Large-Scale Review Ops
Deployed 200+ reviewers with tag-specific workflows and field-level guidance
03.
Large-Scale Review Ops
Deployed 200+ reviewers with tag-specific workflows and field-level guidance
04.
Precision-Aligned QC
Designed QC layers around complex tags and structured fields
04.
Precision-Aligned QC
Designed QC layers around complex tags and structured fields
04.
Precision-Aligned QC
Designed QC layers around complex tags and structured fields
Outcomes
01.
Significant Time Savings
Automated extraction bypassed manual tab-level review for 300K spreadsheets
01.
Significant Time Savings
Automated extraction bypassed manual tab-level review for 300K spreadsheets
01.
Significant Time Savings
Automated extraction bypassed manual tab-level review for 300K spreadsheets
02.
Focused Reviewer Efficiency
Intelligent batching improved tag coverage and reduced false positives
02.
Focused Reviewer Efficiency
Intelligent batching improved tag coverage and reduced false positives
02.
Focused Reviewer Efficiency
Intelligent batching improved tag coverage and reduced false positives
03.
High-Fidelity Tagging
Structured workflows ensured comprehensive, accurate identification of sensitive data
03.
High-Fidelity Tagging
Structured workflows ensured comprehensive, accurate identification of sensitive data
03.
High-Fidelity Tagging
Structured workflows ensured comprehensive, accurate identification of sensitive data
Outcomes
01.
Significant Time Savings
Automated extraction bypassed manual tab-level review for 300K spreadsheets
02.
Focused Reviewer Efficiency
Intelligent batching improved tag coverage and reduced false positives
03.
High-Fidelity Tagging
Structured workflows ensured comprehensive, accurate identification of sensitive data
Knowledge Centre

Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification

Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm

Case Study
Legal Tech
Document Management System with AI-Powered Search for Scanned Documents

Case Study
Legal Tech
Data Minimization and Compliance for Privacy and Security

Case Study
Legal Tech
Patent Analytics in a Disconnected Environment

Case Study
Legal Tech
Automated filling of Application Data Sheets (ADS) for National Stage USPTO Filing
Knowledge Centre

Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification

Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm

Case Study
Legal Tech
Document Management System with AI-Powered Search for Scanned Documents

Case Study
Legal Tech
Data Minimization and Compliance for Privacy and Security

Case Study
Legal Tech
Patent Analytics in a Disconnected Environment

Case Study
Legal Tech
Automated filling of Application Data Sheets (ADS) for National Stage USPTO Filing
Knowledge Centre

Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification

Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm

Case Study
Legal Tech
Document Management System with AI-Powered Search for Scanned Documents

Case Study
Legal Tech
Data Minimization and Compliance for Privacy and Security

Case Study
Legal Tech
Patent Analytics in a Disconnected Environment

Case Study
Legal Tech
Automated filling of Application Data Sheets (ADS) for National Stage USPTO Filing
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.