Putting Data Analytics to Work€¦ · Data Cleansing Using IDEA® Level 1 AS210 Data Cleansing...

COURSE CATALOG

Putting Data Analytics to Work

2020

For over 25 years, Audimation has been dedicated to delivering data analytics solutions,

education, and valuable insights so you can make quicker and more informed decisions. CONTENTS

Elevate Your Audit. Upskill with Intention.Technology innovation and digital transformation are completely redefining the way we conduct business. To maintain a competitive advantage, it is imperative that organizations implement a comprehensive data analytics program. Our suite of learning solutions and range of relevant resources will not only ensure proficiency in the skills that matter, but it will make you an increasingly valuable asset in the industry.

AS100 Getting Started with IDEA® (Importing & Analyzing Data) . . . . . . . . . . . . . . . . . . . . . . 03AS101 Introduction to IDEA® . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 04CI101 IDEA® Data Analysis Level 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 05CI102 IDEA® Data Analysis Level 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 06CI201 IDEA® Data Analysis CIDA Exam Preparation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 07

IDEA FUNDAMENTALS

AS201 Mastering Problem Imports in IDEA® . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 08AS205 Building Complex Equations in IDEA® . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 09AS210 Data Cleansing Level 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10AS215 Data Cleansing Level 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1AS250 Analyzing Travel and Expense Fraud in IDEA® . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12AS260 Analyzing Accounts Payable in IDEA® . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13AS261 Analyzing Accounts Receivable in IDEA® . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14AS262 Analyzing Inventory in IDEA®. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

CI203 Advanced Sampling Techniques using IDEA®. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16CI204 Advanced Statistical Methods using IDEA®. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

PA101 Introduction to Programming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18PA110 IDEAScript For Analysts Level 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19PA120 IDEAScript For Analysts Level 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20PA201 CISE Prep Course . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1

DATA & ANALYSIS

ADVANCED METHODS

Resources + Guides . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Certifications + Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

MISCELLANEOUS

PROCESS AUTOMATION

www.audimation.com Proven Performance & Real Results l [email protected]

Getting Started with IDEA® (Webinar)

03

This 75-minute webinar provides a foundational overview of IDEA® data analytics software and how it is utilized as a comprehensive file interrogation tool for auditors, accountants, and investigators. The focus of this session is on the importance of an auditor’s usage of this platform and identifying when and where to use it in an audit.

IDEA features a wide range of proprietary functions that help you work more efficiently and effectively, ultimately delivering greater insight into all aspects of your organization. This webinar will showcase how to best leverage these data analytic tools to scale productivity and enhance the quality of the evidence gathered through testing.

AS100

Level: Beginner Prerequisite: None

CPE: None

04

Introduction to IDEA® (Virtual, Hands-On)

AS101

Introduction to IDEA® is a half-day, hands-on workshop that will provide an in-depth overview of the data analysis functionality within the platform, including indexing, summarizing, joining, and filtering. Attendees will first import and perform data verification, as well as a basic analysis of a general ledger file. Then an accounts receivable file will be aged and assessed against an AR credit limit file. IDEA’s navigation, visualization capabilities, and arsenal of online resources will also be covered to ensure your individual success following this course.

We encourage you to complete the “Getting Started with IDEA” webinar prior to attending this course, as you will need to be familiar with IDEA’s basic features and functions.

Level: Beginner Prerequisite: Getting Started Webinar (Recommended)

CPE: 4 hours

Learning ObjectivesLearning Objectives

Create a project

Import Assistant - working with Excel, print reports and PDF files

Viewing imported databases in IDEA

Analysis

Discover

Direct Extraction

Summarization

Duplicate Key Detection

Gap Detection

Joining Databases

Exporting Databases

Create and setup projects

Navigate the IDEA File Explorer and Library

Import Excel files with multiple sheets

Use field statistics to verify and reconcile data

Summarize and Joining Databases

Filter data and creating extractions

Create new fields and basic equations

Age and Gap Detection

Simple duplicate detection and exclusion

Utilize Discover for data visualization

File documentation and history using Project Overview

Resources available to IDEA customers

http://www.audimation.com/

mailto:training%40audimation.com?subject=


IDEA® Data Analysis Level 1

05

IDEA® Data Analysis Level 1 is a hands-on, two-day, comprehensive introductory course that will acquaint new users with the IDEA platform’s functionality and wide range of tools to simplify your daily workflow and deliver greater insights. Participants will have the opportunity to interact with the software through a range exercises using sample data and will receive personalized support from the instructor - promoting improved competency of the content.

Topics include, but are not limited to adding and manipulating fields, building equations, importing data, using multiple databases, reconciling data, identifying irregularities, isolating specific records, and sampling. Relevant real-world case studies will also be shared.

CI101

Level: Beginner Prerequisite: None CPE: 16 hrs

06

IDEA® Data Analysis Level 2

CI102

IDEA® Data Analysis Level 2 is a hands-on, two-day course, ideal for those who have completed the IDEA Data Analysis Level 1 training or already have a solid understanding of IDEA platform functionality. This training will cover more advanced principles, such as creating complex equations or criteria, automating tasks, and connecting databases.

Topics include, but are not limited to, advanced imports, data profiling with Benford’s Law, advanced extractions, connecting multiple databases, advanced @Functions, custom functions, and introduction to automation using IDEA.

Handle difficult imports with greaterconfidence, speed, and accuracy

Create advanced extractionsand summarizations

Connect multiple databases to bringdata together from different sourcesfor analysis

Apply advanced @Functions to perform complex calculations and testing

Perform advanced data profilingusing Benford’s Law

Automate processes/tasks by workingwith Visual Script and IDEAScripts

Access resources available fromCaseWare for continued learning

Level: Intermediate Prerequisite: CI101

CPE: 16 hours


Understand the basic features and functionality of the IDEA platform

Determine what data is required, and how to obtain and import various types

Effectively manage and use multiple databases (append & join databases)

Reconcile and examine data to search for outliers and potential fraud

Isolate specific records for investigation

Profile data using stratification and summarization

Identify irregularities including Duplicate Key and Gap Detection

Apply commonly used sampling techniques: systematic, random, and stratified random

Build equations to add virtual fields, filter, sort and match data, automate repeatable processes


IDEA® Data Analysis CIDA Exam Prep

07

The IDEA® Data Analysis CIDA Exam Prep is a

one-day course that will prepare you to take

the Certified IDEA Data Analyst (CIDA) exam.

A real world case study is utilized to simulate

the style and content that is incorporated in

the exam.

We will review the core components of IDEA,

such as importing, data profiling, testing

for irregularities, creating new fields, and

working with multiple files and large data sets.

Additional tests and functions, and modern

approaches, not covered in previous courses,

will also be showcased.

CI201

Level: Intermediate Prerequisite: CI101 and CI102

CPE: 8 hours

08

Mastering Problem Imports in IDEA®

AS201

Mastering Problem Imports in IDEA® is a half-day hands-on workshop, that provides experienced IDEA users with advanced knowledge of importing print reports and PDF files into IDEA using the Report Reader, as well as, working with difficult Excel and delimited text files.

Attendees will practice working with multi-line layers and fields, floating traps, headers, and footers. We will also address the common challenge of transforming complex Excel reports and delimited files into usable data files required to deliver an accurate analysis, and most importantly, greater insights to enable your organization to make quicker and more informed decisions.

IDEA Project Management

Report layers and field anchors

Multi-line layers and fields

Problem reports in Excel

Import dates and amounts

Transform difficult ASCII Delimited Files

Floating traps & layers functionality

Headers and footers in reports

Troubleshoot difficult imports


CPE: 4 hours


Import and reconcileproject data

Profile and isolate payment data

Identify irregularitiesusing Field Manipulation

Summarize and workingwith multiple files

Review of the EquationEditor and @Functions




Building Complex Equations in IDEA®

09

Building Complex Equations in IDEA® is a half-

day, hands-on course ideal for experienced users

who want to expand their knowledge of utilizing

IDEA @Functions and embedded equations to

solve complex testing procedures.

Attendees will learn how to use a range of IDEA

@Functions to transform date fields, extract

multiple values from a field, cleanse data to

enhance testing, pull records containing specific

words or phrases, work with multiple conditions

without having to nest @if statements, and much

more.

AS205


CPE: 4 hours

10

Data Cleansing Using IDEA® Level 1

AS210

Data Cleansing Using IDEA® Level 1 is a half-day course for intermediate IDEA users who interact with raw data from range of sources, platforms, and have to blend data to provide an in-depth analysis. We focus on importing pdf files and using @Functions and built in IDEA analytics to validate data.

An often understated step in the data analytics process is data preparation and cleansing. Without taking the necessary steps, data will be of limited use in testing and informing critical business decisions. Data validation is the method for checking the accuracy, quality, and completeness of your data, ensuring that test results do in fact provide a true picture and deliver actionable insights.


CPE: 4 hours


Build nested @Functions

Work with dates

Extract multiple values froma column of information

Cleanse data to enhance your testing

Pull records containing specific words or phrases contained anywhere in a field

Use with multiple conditions without having to nest @if statements

Import print reports using multi-line fields and append layers

Use IDEA @Functions to parse data and identify invalid data entries

Combine @Functions into embedded equations

Review field statistics to uncover errors and missing data

Identify duplicates using extractions and fuzzy logic

Utilize exclusion joins to identify unmatched data

Recalculating fields for accuracy




Data Cleansing Using IDEA® Level 2

11

Data Cleansing Using IDEA® Level 2 is a half-day class that will guide intermediate IDEA users through the more complicated @Functions and equation logic to cleanse, format and profile data to extract maximum value and deliver meaningful insights.

Data cleansing is a critical step in the analysis process, one that can be extremely time- consuming, without the proper aptitude and proficiency. When information systems do not meet the stringent data input requirements, the data that is extracted tends to be poorly formatted or missing entirely. Analysts will then be forced to cleanse the data before it can be utilized for further testing.

AS215


CPE: 4 hours

Analyzing Travel & Expense Fraud in IDEA®

AS250

Analyzing Travel & Expense Fraud in IDEA® is

a half-day, hands-on workshop that will cover

the entire process of T&E from start to finish,

including how to work with key stakeholders,

creating recovery processes, modeling fraud

behaviors, and executing testing procedures.

Travel and entertainment expenses are a critical

focus of proactive fraud audits and it can result

in large recoveries and identification of potential

losses. From fraud and abuse to clerical errors

and loss prevention, this course will take you

from novice to expert using IDEA to analyze T&E

Expenses.


CPE: 4 hours


Use Visual Connector to join dataacross multiple databases

Append fields with embedded IDEA @Functions to extract field information

Use IDEA’s @Functions to correct inconsistently formatted data

Use conditional statements toidentify and repair shifted data

Create logical equations to validate data

Determine scope and create information requests

Create essential relationships with accounting, legal, and corporate security

Understand real fraud examples and model data for them

Perform reasonableness checks on merchant data

Identify duplicates andquestionable items

Identify explicit businesses

Perform risk-based exception testing

Create effective audit reports

12




Analyzing Accounts Payable in IDEA®

13

Analyzing Accounts Payable in IDEA® is a half-day, instructor-led case study that walks attendees through their role as an auditor hired to perform an Accounts Payable Audit and Fraud Investigation at Bright IDEAs, Inc. The auditor evaluates business and audit risks associated with AP and then reviews potential tests that can be used to address those risks.

The case study includes a review of using IDEA to import data files, profile payments, extract unusual transactions, using Benford’s Law, join data files and much more. This class is based on chapter 2 of the IDEA Data Analysis Workbook.

AS260


CPE: 4 hours

14

Analyzing Accounts Receivable in IDEA®

AS261

Analyzing Accounts Receivable in IDEA® is a

half-day, instructor-led course that walks

students through a case study where they are

hired to perform an Accounts Receivable Audit

at Bright IDEAs, Inc. The auditor evaluates

business and audit risks associated with Accounts

Payable and then reviews potential tests that

can be used to address those risks.

This training showcases how to utilize IDEA to

verify totals, sampling, aging, identifying unusual

AR transactions, and recalculating transactions. This class is based on chapter 1 of the IDEA Data Analysis Workbook.


CPE: 4 hours


Extract unusual transactions including rounded amounts, cash, and zero-dollar payments

Identify payments made above authorized transaction levels

Identify missing checks and payments with unusual timing

Detect invoices paid in irregular time frames

Find after-the-fact invoices

Identify payments made to unauthorized suppliers

Import MS Access andprint reports into IDEA

Use Field Stats and Control Totalsto reconcile and validate data

Create new fields to identify and extract unusual AR transactions

AR Aging

Add Comment Fields

Create Random Samples

Analyze credit notes, account balances, and unauthorized accounts

Recalculate transactions




Analyzing Inventory in IDEA®

15

Analyzing Inventory in IDEA® is a half-day, instructor-led training that walks students through a case study where they are hired to perform an Inventory Review at Bright IDEAs, Inc. The auditor evaluates business and audit risks associated with Inventory and then reviews potential tests that can be used to address those risks.

This case study includes audit testing to agree total inventory values, check adequacy and accuracy of inventory, assess the re-ordering system, and analyze profit margins and pricing. This class is based on Chapter 3 of the IDEA Data Analysis Workbook.

AS262


CPE: 4 hours

16

Advanced Sampling Techniques using IDEA®

CI203

Advanced Sampling Techniques using IDEA®

is a half-day, instructor-led training that

walks students through case study where,

as an analyst, you are hired to perform an

independent evaluation of a company that

intends to go public.

In this case study style course, you will assess

whether controls are working using statistical

sampling including Monetary Unit Sampling

(MUS), Attribute Sampling, and Classical

Variable Sampling.

Level: Advanced Prerequisite: CI101 and CI102

CPE: 4 hours


Import ASCII delimited filesUsing field statistics and controltotals to verify accuracy of import

Use equations to extract obsolete inventory items and negative quantities

Calculate usage ratios and months of inventory

Stratify inventory into bands

Calculate total provisionscounts and value by location

Test accuracy of the reordering system

Analyze selling prices and inventory movements

Analyze profit margins

Concepts behind Monetary Unit Sampling (MUS) including planning, performing procedures andevaluating the sample results

Learn when MUS should be used and the factors affecting the size ofan MUS sample

Understand the basic conceptsbehind Attribute Sampling includinga discussion of deviation rates and confidence levels

Discussion of Beta and Alpha Risk

Statistical Sampling (ClassicalVariables Sampling) including confidence level, desired precision,and the expected proportion of errors

Walk through examples of each type of sampling using IDEA functionality




Advanced Statistical Methods using IDEA®

17

Advanced Statistical Methods using IDEA® is a half-day, instructor-led course that walks students through a case study, where in their role as a consultant, they have been hired to perform an independent evaluation of a company that intends to go public.

Attendees will use IDEA to study the seasonality of sales for three company locations and use statistical models to identify trends, relationships between fields and project future values using three main tasks: Correlation Analysis, Trend Analysis, and Time Series.

CI204

Level: Advanced Prerequisite: CI101 and CI102

CPE: 4 hours

18

Introduction to Programming

PA101

Introduction to Programming is a 2-day, virtual and hands-on course designed for those who have little to no knowledge of programming, and want to obtain the skills needed to develop complex applications. You will be guided through key programming concepts, including: commenting, variables, user input, logic and design, loops, and functions. You will join a live, instructor- led virtual desktop environment to individually test your knowledge, and ask questions.

This training will utilize the IDEAScript Editor to navigate through the fundamentals and provides a brief introduction to the integration of programming and IDEAScript.

Level: Intermediate Prerequisite: None

CPE: 16 hours


Profile data to provide a pictureof past transactions in order tocompare or predict the future.

Summarize and/or append yearly sales files using multiple fields including location and year

Create a time series statistical analysis

Use a prime location as a benchmark for comparison

Perform Trend Analysis on a four year monthly sales file

Use Correlation Analysis to study relationships between discounts and sales

Understand Variables and Constants and how to use them effectively

Create basic dialog boxes torequest and accept information from the user

Create, modify, and reuse functions

Use conditions and logical statements

Introduction to branchingand loops




IDEAScript for Data Analysis Level 1

19

The IDEAScript for Data Analysis - Level 1 is a hands-on, advanced two-day course that guides you through the integration of your programming knowledge and the IDEAScript syntax. It is recommended that you are both competent in IDEA® and fundamental programming.

You will gain knowledge on how to create a new script that integrates IDEA’s function, walk through the objects needed to make IDEA perform joins, summarizations, and any other task that you may require. You will also develop skills on how to make IDEA create the code and modifications/customizations that require your scripts to be more user oriented, and also view many relevant real-world case studies.

This course is instructor-led with a virtual desktop to provide you with skills needed to create powerful IDEAScript applications and integrations. The IDEAScript Editor is also utilized to create applications and make the script run automatically using Windows Task Scheduler.

PA110

Level: Advanced Prerequisite: CI101, CI102, PA101 or programming experience

CPE: 16 hours

20

IDEAScript for Data Analysts Level 2

PA120

IDEAScript for Data Analysts Level 2 is a virtual, hands-on, advanced applications course that guides you through the creation of applications using a custom interface. This course integrates the fundamental knowledge from the Introduction to IDEAScript to create applications that allow you to interface with the user.

You will be introduced to the use of Arrays to obtain data from users or from an IDEA® Database as well as error handling and validation to make your application a stronger solution. Hands-on training will ensure you obtain the skills required to create powerful IDEAScript applications. You will also utilize the IDEAScript Editor to create a wide range applications to help streamline your daily workflow.

This training is instructor-led within a virtual desktop environment to guide you through various examples of different integrations and provides you the ability to ask questions and test your knowledge.

Level: Advanced Prerequisite: PA110 or other programming experience

CPE: 16 hours


Introduction to IDEAScript

IDEAScript Environment

Introduction to IDEA objects

Create scripts by Recording macros, using History and Project Overview

Script modification and clean-up

Utilize IDEA commands

Read database information

Modify IDEAScript for user interaction

Introduction to Arrays

Introduction to Custom Dialogs

Error validation

Application development

Programming best practices



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Audimation is here to support you every step of the way! Check out additional industry resources, or

even our complementary media and content to help you tackle all of your audit, fraud and risk challenges.

RESOURCES FOR YOUR SUCCESS

22

Analytics for External Auditor’s GuideComprehensive guide on how to incorporate data analytics into your external audit program. It includes detailed technical instructions for preparing data, running tests, as well as best practices for interpreting the results and sharing valuable insights.

eBooks + Articles Tech Tips + TricksWebinars + Tutorials

IDEA® WorkbookThe IDEA Workbook is an in-depth tutorial applying IDEA tests and analyses to audits and investigations in accounts receivable, accounts payable/fraud investigation and inventory. We utilize this workbook as a reference in several of our courses.

Preparatory Material for CIDAPrepare for the CaseWare Analytics CIDA Certification exam with this effective and easy-to-use self-study guide. Formatted in Q&A style to facilitate learning, understanding and readability.

Data Analytics Master Classes

Content with insight! We discuss the

latest trends, modern approaches,

and innovative technology solutions

to streamline business processes and

help you obtain better insights.

Level up your audit game and gain some valuable CPE as a wide range of industry leaders share how they have conquered data analytics to tackle complex challenges and deliver extraordinary results.

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Video with value! We deliver an

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We are listening! Straight from your

very own questions, we deliver a

tech tips and tricks on a range

of topics. Together, we can tackle

our industry’s greatest challenges.

CISE - Advanced Prep Course

21

The CISE - Advanced Prep Course is a virtual, instructor-led, one-day training that prepares you to take the Certified IDEA® Scripting Expert (CISE) exam. We will work through examples of scripting functionality that represent the content covered in both the multiple choice section of the exam and the required scripting submission. In addition, you will learn tips, tricks, and other innovative approaches to advance your scripting development.

Students will engage via a live, virtual desktop environment with the ability to individually test their knowledge, and ask questions.

PA201

Level: Advanced Prerequisite: CI101, CI102, PA101 or programming experience, PA110 & PA120

CPE: 8 hours

Learning Objectives

Review Variables and Constants

Review IDEA objects

Programming best practices

Custom Dialog Boxes

Review different uses of logical statements


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Putting Data Analytics to Work

Putting Data Analytics to Work€¦ · Data Cleansing Using IDEA® Level 1 AS210 Data Cleansing...

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