Optimizing Handwritten PII Extraction for a Retail Data Breach
Optimizing Handwritten PII Extraction for a Retail Data Breach
Enabled efficient review and structured PII extraction from handwritten documents lacking unique identifiers, using automated workflows and risk-based sampling.
The Ask
A retail firm faced a data breach involving 21,000 scanned documents lacking unique identifiers. The client needed extraction of over 20 PII fields from handwritten forms. The complexity included one-to-many and many-to-one relationships across bank account numbers.
Our Solution
01.
Custom Workflow on iCONECT
Developed a tailored workflow in iCONECT to handle handwritten scanned forms and complex document structures
01.
Custom Workflow on iCONECT
Developed a tailored workflow in iCONECT to handle handwritten scanned forms and complex document structures
01.
Custom Workflow on iCONECT
Developed a tailored workflow in iCONECT to handle handwritten scanned forms and complex document structures
02.
Risk Analysis via Targeted Sampling
Conducted a 15% sampling to identify document-level risk, enabling the team to prioritize high-sensitivity content
02.
Risk Analysis via Targeted Sampling
Conducted a 15% sampling to identify document-level risk, enabling the team to prioritize high-sensitivity content
02.
Risk Analysis via Targeted Sampling
Conducted a 15% sampling to identify document-level risk, enabling the team to prioritize high-sensitivity content
03.
Three-Tiered Review Structure
Implemented a structured review model with three distinct validation levels to ensure consistent and accurate tagging
03.
Three-Tiered Review Structure
Implemented a structured review model with three distinct validation levels to ensure consistent and accurate tagging
03.
Three-Tiered Review Structure
Implemented a structured review model with three distinct validation levels to ensure consistent and accurate tagging
04.
Integrated Spreadsheet Extraction
Enabled extraction of large-format spreadsheets within iCONECT, reducing tool-switching delays
04.
Integrated Spreadsheet Extraction
Enabled extraction of large-format spreadsheets within iCONECT, reducing tool-switching delays
04.
Integrated Spreadsheet Extraction
Enabled extraction of large-format spreadsheets within iCONECT, reducing tool-switching delays
Outcomes
01.
Reduced Review Volume
Pre-review sampling allowed early identification of “no risk” documents, lowering total review effort
01.
Reduced Review Volume
Pre-review sampling allowed early identification of “no risk” documents, lowering total review effort
01.
Reduced Review Volume
Pre-review sampling allowed early identification of “no risk” documents, lowering total review effort
02.
Enabled State-Specific PII Reporting
Categorized extracted PII to support jurisdiction-based reporting requirements
02.
Enabled State-Specific PII Reporting
Categorized extracted PII to support jurisdiction-based reporting requirements
02.
Enabled State-Specific PII Reporting
Categorized extracted PII to support jurisdiction-based reporting requirements
03.
Efficiency Gains Through Automation
Automated grouping and extraction of MDE files streamlined the workflow and significantly reduced review hours
03.
Efficiency Gains Through Automation
Automated grouping and extraction of MDE files streamlined the workflow and significantly reduced review hours
03.
Efficiency Gains Through Automation
Automated grouping and extraction of MDE files streamlined the workflow and significantly reduced review hours
Outcomes
01.
Reduced Review Volume
Pre-review sampling allowed early identification of “no risk” documents, lowering total review effort
02.
Enabled State-Specific PII Reporting
Categorized extracted PII to support jurisdiction-based reporting requirements
03.
Efficiency Gains Through Automation
Automated grouping and extraction of MDE files streamlined the workflow and significantly reduced review hours
Knowledge Centre
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Knowledge Centre
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Fast-Tracked Healthcare Breach Review with Scalable Operations
Case Study
Cyber Incident Response
Accelerating Financial Data Breach Review with Multi-Layer Tagging
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Cyber Incident Response
Navigating Jurisdictional Risk in a Global Recruitment Data Breach
Case Study
Cyber Incident Response
Optimizing Handwritten PII Extraction for a Retail Data Breach
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
Knowledge Centre
Case Study
Cyber Incident Response
Fast-Tracked Healthcare Breach Review with Scalable Operations
Case Study
Cyber Incident Response
Accelerating Financial Data Breach Review with Multi-Layer Tagging
Case Study
Cyber Incident Response
Navigating Jurisdictional Risk in a Global Recruitment Data Breach
Case Study
Cyber Incident Response
Optimizing Handwritten PII Extraction for a Retail Data Breach
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
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.