1. CBS Data Analysis with CATT Tool – IDEAby
CA. Mukesh Saran
Webcast by PDC of ICAI
On from
Lucknow branch of CIRC of ICAI

2. What is IDEA IDEA is a CAAT tool
IDEA – Interactive Data Extraction and Analysis
Product of Caseware Idea Inc., Canada
Dedicated software for data analysis

3. CAAT Tool IDEA – how to Get
ICAI publication
Data Analysis for Auditors – Practical Case Studies on using CAATs (ISBN # ). Having CD of Demo Copy of IDEA software V-8.0
With demo version you can import 1000 rows of data
Request for Demo copy at website of Caseware Idea Inc., Canada

4. Why IDEA Simple and intuitive interface
Menu driven functions rather than command driven functions
Ease of data extraction
The ability to access a wide variety of data files from different platforms
Ease of data analysis
Simplified query building
Comprehensive logging features with ‘read’ rights only - unalterable
Easy template creation
Convenient template recall and use
Ease in automation of tasks
Simplicity in scheduling of automated tasks for continuous monitoring”

5. Stages in the Use of CAATs
Identifying the audit objectives and areas for the use of CAATs
Determining the data required and arranging the download
Importing data
Reconciling data
Working with the data imported: Use of Functions and Scripts within the CAATs
Reviewing of results and housekeeping

6. Examining Data and Isolating Specific Items
Data once imported can be examined and reviewed in IDEA through
Indexing
Sorting
Grouping of Records
Go To
Find
Isolating specific items can be accomplished in IDEA through
Display of Data
Extraction of Data

7. Identifying Exceptions and Irregularities
IDEA includes two key functions to identify exceptions, irregularities, anomalies and errors. These are:
Duplicate Detection
look for duplicates in and up to 8 fields
Gap Detection
can be deployed on numeric, character and date fields.

8. Profiling Data
The Tool offers three key functionalities for Business Analysts:
Summarization
to obtain and view a macro consolidated position
Stratification
a range or interval based consolidation of data.
Pivot Table
a cross-dimensional 2-D analysis of data

9. Working with Multiple Files
IDEA offers the following techniques for working with multiple files:
Visual Connect
Join
Append
Compare
These techniques allow the user to combine multiple files conveniently for analysis and review

10. Sampling
Sampling in IDEA is broadly statistical and probability-based.
The probability-based sampling techniques are:–
Systematic
Random
Stratified Random
The statistical sampling techniques are:-
Attribute
Classical Variable
Monetary Unit

11. Field Manipulation
Field Manipulation can be used within IDEA to view field definitions, add or delete fields, change field properties such as field name and type, or add tags (field templates) for the Smart Analyzer Financial component within IDEA.
Field Manipulation within IDEA can be performed through Virtual Fields and Editable Fields.

12. Importing various Data File Formats
IDEA integrates and connects seamlessly with the following Data file formats:
1. Microsoft Excel
2. Microsoft Access
3. ASCII (Text) Fixed Length
4. ASCII (Text) Delimited (including Comma Separated Value)
5. EBCDIC Fixed Length
6. Print Report and Adobe PDF files
7. XML
8. SAP/AIS
9. dBASE III and IV
10. Lotus (.wk1, .wk3, .wk4)
11. AS400
12. Proprietary Accounting Packages
13. ODBC

13. Working with Application Softwares
CAAT – IDEA is a robust, time-tested, stable, data analytical tool. IDEA has evolved steadily to integrate conveniently and seamlessly with well-known Application Softwares worldwide.
IDEA connects well with
SAP and SAP Flat Files from the Manufacturing Industry
Core Banking System – Finacle from the Banking Industry
Web Based Application Systems – Sabre from the Airlines Industry

14. Application of CAATs to Banks
IDEA is useful in most areas of banking. The following tests cover a variety of account types:
Calculation, Analysis
Cast (or total) ledgers.
Cast (or total) account balances.
Cast (or total) accrued interest.
Perform interest calculations.
Check calculation of bank charges.
Reprove arrear calculations and reporting (loans).
Prove interest capitalization

15. Application of CAATs to Banks
Exception tests
Identify accounts with missing standing data.
Identify invalid or unusual standing data.
Identify dormant accounts and transactions
Identify accounts with statement suppression
Check charges are being raised where appropriate
Identify staff loans
Identify large loans
Test for unusual interest rates
Identify loan balances greater than original advance

16. Application of CAATs to Banks
Exception tests (contd.)
Identify negative balances
Identify forward dated transactions
Provide totals of forward dated transactions
Identify overdue maturities
Identify customers over their overdraft limit or customers with expired limits
Perform currency conversions
Provide details of currency exposure

17. Application of CAATs to Banks
Matches and Compares
Multiple loans to the same address by setting up a key based on the address and using duplicates test
Match addresses of loans to employee addresses
Compare balances at different periods to identify movements.

18. Credits Tutorials of CaseWare IDEA Inc. ICAI publication
469 King Street West, 2nd Floor
Toronto, CANADA
M5V 1K4 (
ICAI publication
Data Analysis for Auditors – Practical Case Studies on using CAATs

19. Thanks CA. Mukesh Saran from M.Com., FCA, DISA(ICAI) Lucknow