Tableau Case Studies Ernst & Young: Using Tableau for Fraud Analysis

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	Ernst & Young: Using Tableau for Fraud Analysis Tableau

Ernst & Young: Using Tableau for Fraud Analysis

Tableau

Technology Category	Analytics & Modeling - Data Mining Application Infrastructure & Middleware - Data Visualization
Applicable Industries	Professional Service
Applicable Functions	Business Operation
Use Cases	Fraud Detection
Services	Data Science Services
Challenge	Ernst & Young's Fraud Investigation and Dispute Services (FIDS) practice works in a broad spectrum of providing analytical services related to identifying factors related to fraud and forensics. They analyze all types of fraud that can be coming from all types of different data sets, whether or not those data sets are transactional data in form. They also try to uncover elements of unusual patterns or unusual behavioral activity within unstructured data sets of text data – such as emails, instant messages, or SMS text messages that are exchanged in an organization from employee to employee. The challenge was to analyze these large volumes of data and present the results in a way that is easily understandable by a variety of individuals across an organization—from analysts and end users right up to C-suite professionals. Read More
About Customer	Ernst & Young is a global leader in assurance, tax, transaction, and advisory services. The company has a Fraud Investigation and Dispute Services (FIDS) practice that works in a broad spectrum of providing analytical services related to identifying factors related to fraud and forensics. They also work within investigations, and they work within the anti-bribery and corruption fields as well. The FIDS team analyzes all types of fraud that can be coming from all types of different data sets, whether or not those data sets are transactional data in form. They also try to uncover elements of unusual patterns or unusual behavioral activity within unstructured data sets of text data – such as emails, instant messages, or SMS text messages that are exchanged in an organization from employee to employee. Read More
Solution	Ernst & Young uses Tableau for data visualization. They perform all of their analytics within SQL and compute fraud scores that will identify errors that need further investigation. Those computations are then fed directly into Tableau. Tableau outputs them very quickly into a visual format, so they’re very easy to understand. For instance, they have four-dimensional charts that help to hone in on individuals that may need further investigation. They connect to different databases directly, which they find to be a very useful feature. It gives them lots of transferability with regards to their underlying data structures. They work with SQL. They work with Oracle. They work with a whole variety of different databases. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data Mining

Application Infrastructure & Middleware - Data Visualization

Applicable Industries

Professional Service

Applicable Functions

Business Operation

Use Cases

Fraud Detection

Services

Data Science Services

Challenge

Ernst & Young's Fraud Investigation and Dispute Services (FIDS) practice works in a broad spectrum of providing analytical services related to identifying factors related to fraud and forensics. They analyze all types of fraud that can be coming from all types of different data sets, whether or not those data sets are transactional data in form. They also try to uncover elements of unusual patterns or unusual behavioral activity within unstructured data sets of text data – such as emails, instant messages, or SMS text messages that are exchanged in an organization from employee to employee. The challenge was to analyze these large volumes of data and present the results in a way that is easily understandable by a variety of individuals across an organization—from analysts and end users right up to C-suite professionals.

About Customer

Ernst & Young is a global leader in assurance, tax, transaction, and advisory services. The company has a Fraud Investigation and Dispute Services (FIDS) practice that works in a broad spectrum of providing analytical services related to identifying factors related to fraud and forensics. They also work within investigations, and they work within the anti-bribery and corruption fields as well. The FIDS team analyzes all types of fraud that can be coming from all types of different data sets, whether or not those data sets are transactional data in form. They also try to uncover elements of unusual patterns or unusual behavioral activity within unstructured data sets of text data – such as emails, instant messages, or SMS text messages that are exchanged in an organization from employee to employee.

Solution

Ernst & Young uses Tableau for data visualization. They perform all of their analytics within SQL and compute fraud scores that will identify errors that need further investigation. Those computations are then fed directly into Tableau. Tableau outputs them very quickly into a visual format, so they’re very easy to understand. For instance, they have four-dimensional charts that help to hone in on individuals that may need further investigation. They connect to different databases directly, which they find to be a very useful feature. It gives them lots of transferability with regards to their underlying data structures. They work with SQL. They work with Oracle. They work with a whole variety of different databases.

Impact #1	Ease of use for both end users and analysts
Impact #2	Ability to convey results visually to a range of different audiences
Impact #3	Ease of representation

Impact #1

Ease of use for both end users and analysts

Impact #2

Ability to convey results visually to a range of different audiences

Impact #3

Ease of representation

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Overview

Ernst & Young: Using Tableau for Fraud Analysis

Operational Impact