Unlock the Power of Handwriting Recognition to Optimize Your Business Processes

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Unlock the Power of Handwriting Recognition to Optimize Your Business Processes

Transcript of Unlock the Power of Handwriting Recognition to Optimize Your Business Processes

Page 1: Unlock the Power of Handwriting Recognition to Optimize Your Business Processes

Unlock the Power ofHandwriting Recognition

to Optimize Your Business Processes 

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Agenda

Problems We Solve together

Captricity

Overview

The State of Capture

Within Enterprise

CustomerUse Cases

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Agenda

Integrations and Business Process

Management

Product Demo

How the Technology

Works

Process Analytic

s

Discussion

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Problems We Solve

Security of Extracted ContentPII, Health, Financial

Shred

Handwriting on Structured, Semi- or

Unstructured Content

Accuracy Needed With

OCR Extraction

>95%

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Government

HealthInsurance & Financial Services

12 of the Top 20 U.S. Insurers

Non-Profit

Customers

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The State of Capture in Enterprise

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The majority of critical business processes still rely on paper…

It is still common practice to have people type HANDWRITTEN information from paper forms into downstream systems.

Manual data entry processes are error-prone, time consuming, and expensive.

Analytics teams are unable to access the most valuable legacy customer data from documents.

Problems Organizations Face

01

02

03

04

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Manual Data Entry

• Prone to human error • Requires multiple reviews to avoid rework• Slow responses contribute to poor service• Expensive to train and hard to scale• Only works during regular business hours

OCR• Requires >95% accuracy• Fails to effectively recognize

handwriting• Expensive, license-based model

(hard to scale)• Maintenance and updates require IT

resources• Lacks end-to-end business/workflow

logic

The Challenges With Traditional Solutions

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Captiva/Datacap/Kofax

• Typically on premise• Complex deployment and configuration• Requires a team for Q/A due to 70-75%

accuracy• High annual support costs• Costly and complex back-end integrations

Captricity & Zia

• Cloud based with high security standards

• In production in weeks, not months• 99.5%+ accuracy on structured, semi-

structured, and unstructured content• Straight-thru processing• Simple pricing model• Easy integrations

How Do Our Solutions Compare? They Don’t.

USE TO INDEX YOUR DOCUMENTS USE TO PROCESS YOUR DOCUMENTS

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Use Cases: Operations and Analytics

• Contract change requests

• Collateral forms• Withdrawal forms• Death certificates

• Applications/Enrollment forms (new business)

• Change forms• Claims forms• Electronic payment

authorizations

Analytics use cases involve using Captricity on archived/historic

documents to unlock missing or unavailable data.

Operational use cases involve using Captricity day-to-day, eliminating manual entry.

Familiar forms and workflows:

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Value Delivered

Same-day turnaround time;

time-to-value <30 days

Cost savings of 50–70%+;return on investment <3–8 months

Enterprise-grade security;100% HIPAA

compliant

Infinite, elastic platform scalability

Significant data accuracy improvement

(99.5%+, even on handwriting)

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The True Value of CaptricityProcessing Work With

Traditional Capture and Indexing

Processing Work After Captricity

Case Creation, Data Entry, & Clerical

38%Low Value

42.5% Moderate

Value

19.5%High ValueUtilization

Analysis &Decision Making

Information Compilation,Inventory, &

Performance Management

Analysis &Decision Making

Information Compilation, Inventory, & Performance Management

Case Creation, Data Entry, & Clerical

73%High ValueUtilization

10%Low Value

17% Moderate

Value

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Operational Use Case

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CHALLENGE:Digitize large amounts of life insurance application forms during peak business season when receiving thousands per month through scans and emailed PDFs. Processing teams are bogged down processing simplistic applications that don’t really need their review.

SOLUTION:Provide straight-thru processing of applications allowing them to skip the queue and the processors to focus on more high-value tasks.

Operational Efficiency:Streamlining the Onboarding Process

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Analytics Use Case

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CHALLENGE:No easy access to cause-of-death data from death certificates which are submitted along with death claims but typically filed away without further analysis. (100s of potential templates to identify, sort, and capture)

SOLUTION:Enabled big-data analytics for underwriting innovation to, specifically, improve fraud detection capabilities leveraging patterns found in historical customer data.

Analytics Enablement:Extracting Data from 1M+ Death Claims

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Captricity Provided Access to 20M+ New Data Points

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How it Works

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The Digitization Process

3.) Format & Deliver2.) Validate, Verify & Enrich1.) Capture, Sort & Shred

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Shreddr™ Technology: Secure by Design

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Enhance Data

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Discover Data Remediation Opportunities: Addresses

Example: Incorrect: 28263 HH Williams Rd, Angie, LA 70436

 Correct: 28263 H H Williams Rd, Angie, LA 70426-

1823

Address verification and correction via web APIAble to improve:• Unstandardized addresses• Zip codes• Match street, city, and state data• Verify entire address is correct

Key Insight: 41% of addresses were

improvable, 12% were invalid

Handwritten Address Data: ✘

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Discover Data Quality Issues: Phone

Phone Number Data:

Key Insight: 91% of phone numbers listed above “home phone number”

were not landlines.

Phone number verification via web phone validation APIAble to verify:

• Mobile vs. landline• Active vs. inactive• Registered name• Carrier

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Legacy Systems and Integrations

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What is Business Process Automation?

Process model to orchestrate on-site patient visit designed with

BPMN editor and powered by BPM engine

Data Enrichment – Link input data to

enrichment/validation actions

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Where to from here….next steps.

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A Model for Process Optimization: Process Analytics

Identify Workflow

Collect Inputs Run POC Analyze DataCustomer selects a workflow to use as a starting point to build a clear business case around

Customer provides batch of sample forms (1K+)

Both parties determine critical data fields

Discover basic business rules

Sample forms run through Captricity’s crowd-guided digitization platform

Captricity’s data science team performs analysis of sample data

• Form design• Meta data analysis• Errored Submissions• Data validation• Data enrichment• Fraud detection• Intelligent delivery

Step-by-Step Project: 1–2 Weeks

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Questions?

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Thank You.

For more informationziaconsulting.com

[email protected]

(888) 732-4101