Collaborative Analytics:IDEA & Tableau

Mario Perez, Audit Analytics Consultant

• Auditor who became an “accidental trainer” after coming across IDEA in 1995

• My focus:

o Train auditors on the “how” in using IDEA

o Inspire auditors on the “why” when considering Data Analytics

Objectives for the next hour

• Benefits of using data analytics and visualization tools together to achieve strategic business goals

• How to use both IDEA and Tableau to create synergies in how data is analyzed and presented

• Techniques for using data analytics to prepare and analyze data from various sources and file types

• Maximize the powerful data presentation features Tableau offers to easily identify anomalies, trends and patterns

IA – October 2017, page 13

Independence conflicts

IFAC – January 2017

Data analytics can add value

Close your eyes

PIZZA

Data ≠ Information

Tableau

• BI (Business Intelligence) Software that leverages data into actionable intelligence using visualization

• It helps in decision making in all areas of a business that rely on data

• Managers, Financial Analysts, Executives, Auditors use Tableau to gain visual insight into their business activities

• Descriptive Analytics – It looks at historical data to explain what happened

IDEA (Interactive Data Extraction & Analysis)

• GAS (Generalized Audit Software) designed tointerrogate data through queries and audit specific tests

• It enhances an Auditor’s capabilities in testing underlyingclient information to develop actionable audit evidence

• Auditors and Fraud Examiners use IDEA to perform ad hoc testing, test of controls, and substantive testing

• Descriptive Analytics – It looks at historical data to explain what happened

Data Analytics: Benefits

• Data is constantly growing

• Auditing data effectively requires computer assisted audit techniques

• 100% of the audit population can be tested

• Specific audit tests can be executed in seconds

• Results are as accurate as the hypothesis and test criteria

• Auditor can expand the scope of their tests to addressanomalies

• Develop better audit evidence and address audit risk

Visualization: Benefits

• Give context to data

o How high is Mt. Everest?

❖ 29,000 ft.

❖ 20 Empire State Buildings

• Explore relationships between various data elements

• Identify patterns visually

• Spot trends

Tableau & IDEA

Field StatisticsSummarization

Joining DatabasesAppending Databases

Data ExtractionCreating Fields

TableauIDEA

Exploratory Analysis in Tableau

Exploratory Analysis in IDEA

Appending Databases in IDEA

Appending Databases in Tableau

Exploratory Analytics to uncover Anomalies

In IDEA

Exploratory Analytics to uncover Anomalies

In Tableau

Data prep

• IDEA can help with importing difficult reports to test in IDEA and analyze in Tableau

Thank you!

QUESTIONSmariop@audimation.com