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Using Big Data to Make a Big Difference in Government

Jeremy Clopton, CPA, CFE, ACDA, CIDADirectorBig Data & Analytics, Digital Forensicsjclopton@bkd.com

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Building a Foundation

Emerging Technologies

Analytics Framework

Fraud Risk Management

Reputational Risk Management

Organizational Dynamics

Open Data

Today’s Topics

Building a Foundation

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Why This is Important

Tools

Data Analytics (ACL, IDEA,

Arbutus)

Data Visualization (Tableau, Analysts’

Notebook)

Artificial Intelligence

(Machine Learning, Social Media,

Sentiment)

Techniques

Structured Data

Analytics

Unstructured Data Analytics

Visual Analytics

Relationship Mapping

Tools & Techniques

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Big DataInformation of extreme size, diversity & complexity

- Gartner, Inc.Source: http://www.gartner.com/technology/topics/big-data.jsp

Data Analytics…processes & activities designed to obtain & evaluate data to extract useful information & answer strategic questions...

Definitions

What is Analytics?

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We are…

“Big Data” in Perspective

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“Big Data” in Perspective

Total Information Awareness

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Data Volumes are Increasing

Source: https://nsa.gov1.info/utah-data-center/udc-photo.html

What are you doing to become data-driven?

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Important Emerging Technologies

• Textual analytics

• Machine learning Supervised Unsupervised

• Advanced analytics Predictive Decision trees

New & Developing Technologies

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Textual Analytics

Network Relationship

Mapping

Named Entity Extraction

Predictive Coding

Topic Mapping

Social Media Extraction

Emotion Detection

Machine Learning

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• Supervised Give examples & answers, machine finds more like it

• Unsupervised Give data, machine finds patterns & applies its own rules

Machine Learning

Machine Learning: Clustering

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Advanced Analytics: Outlier Detection

Advanced Analytics: Logistic Regression

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Advanced Analytics: Correlation

Application Framework

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1. Viable Problem is suited to available tools

2. Valuable Is it worth doing?

3. Vital Technology is key to success

The Three Vs for Identifying Opportunities

Strategic Question

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Strategic Question

Objectives

Strategic Question

Objectives Data

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Strategic Question

Objectives Data

Procedures

Ad Hoc Individual

Automated Individual

Automated Groups

Continuous Analytics

Procedure Development

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Strategic Question

Objectives Data

Procedures

Strategic Question

Objectives Data

Procedures Analyze

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Strategic Question

Objectives Data

Procedures Analyze

Manage

Strategic Question

Objectives Data

Procedures Analyze

Manage

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Fraud Risk Management

The Fraud Triangle

Fraud

Perceived pressure

facing individual

Perceived opportunity to commit

fraud

Person’s rationalization or integrity

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Fraud Example

City of Dixon, Illinois

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Corruption

Connections: Network Relationship Analysis

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Relationship Analysis Example

Relationship Analysis Example

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Relationship Analysis Example

Relationship Analysis Example

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Relationship Analysis Example

Tone Detection

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Emotions: Tone Detection & Sentiment

AngerFrustrationAnxiety/nervousTensionVague/evasiveConspiratorialSadnessIntimacy

PositiveNegative

Emotions: Tone Detection & Sentiment

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Sentiment Analysis

Tone Detection Example

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Tone Detection Example

Reputational Risk Management

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Objectives • Identify issues & respond before they become crises• Proactive approach

Approach• Monitor trends & changes in patterns

Reputational Risk Monitoring

• Overall sentiment trend

• Key emotional drivers

• Influencers

• Proliferation of activity

• Nature of activity

• Location of activity & influencers

• Influencer relationships

Reputational Risk Monitoring – Metrics

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Reputation DataWho

What

When Where

Why

How

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Organizational Dynamics

• Harassment

• Intimidation

• Bullying

• Discrimination

• Favoritism

Actions Impacting Organizational Dynamics

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• Communication patterns between categories

• Tone of communications across levels

• Identification of office “power brokers”

Organizational Dynamics – Metrics

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Open Data

• Increased transparency

• Knowledge to the masses

• Crowdsourcing data analytics

• Forcing governments to become data-driven

Move Toward Open Data

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Examples

Using Open Data for Data-Driven Insights

Building Permits

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Renovations New Construction

311 Calls

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311 Calls

Financial Performance

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Financial Performance

Employee Counts

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Closing Thoughts for the Day

• Not designed as intrusion of privacy

• Not reading everyone’s email

• Looking for signals

• Patterns are key

What’s the Focus?

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• Policies around data ownership & use

• Ethical considerations

• Legal implications

Challenges to Overcome

• Communications are used to transact business

• Corporate assets are used to transact business

• Transacting business = business transaction

New Mindset

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QUESTIONS?

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• For questions, concerns or comments regarding CPE credit, please email the BKD Learning & Development Department at training@bkd.com.

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FOR MORE INFORMATION

THANK YOU!Jeremy Clopton, CPA, CFE, ACDA, CIDADirector | BKD, LLPPractice Leader – Big Data & Analytics, Digital Forensics

E: jclopton@bkd.comW: http://bkd.com/bigdataT: @JeremyCloptonL: http://www.linkedin.com/in/jeremyclopton