IDEA Integrations using ODBC - AuditWare

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IDEA Integrations using ODBC ….and Some Other Interesting News - London User Group: October 2018 - James Loughlin - Head of Technical & Training AuditWare Systems

Transcript of IDEA Integrations using ODBC - AuditWare

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IDEA Integrations using ODBC….and Some Other Interesting News

- London User Group: October 2018 -

James Loughlin - Head of Technical & TrainingAuditWare Systems

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Agenda

• IDEA News

• IDEA Integrations Using ODBC

• Q & A

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IDEA News

• IDEA 10.3

▪ Character Field Statistics – # of blanks, # of categories

▪ Stratified Random Sampling - You can now specify a percentage of records as a sample size

▪ UTF-8 delimited files are now supported

▪ Visualization - Charts now contain scrolling and zooming controls that let you focus on a specific area of data

▪ Duplicate Key Detection field statistic (# of Duplicates) is now available in the Field Statistic panels

▪ Improved PDF file support in Report Reader

▪ IDEA is now supported on Windows Server 2016

▪ IDEA is now compatible with CaseWare Working Papers 2016 and later.

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IDEA News

• IDEA 10.3

Python is an interpreted, object-oriented programming language that is becoming one of the most popular programming languages used for analytics/data mining and machine learning.

Python support has been integrated into IDEA to let users execute their existing Python scripts to perform analytic tasks.

http://ideascripting.com/

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IDEA News: SmartAnalyzer–Financials Apps

General Ledger

• Out of Balance Journal Entries

• Duplicate Journal Entries

• Missing Journal Entries

• Journal Entries Posted on Weekends

• Journal Entries Posted on Specific Dates

• Journal Entries Posted at Specific Times

• Journal Entries by User

• Journal Entries by Period and Journal Source

• Journal Entries by Period

• Journal Entries with Large Amounts

• Journal Entries with Rounded Amounts

• Journal Entries with Amounts that End in 999

• Journal Entries with Specific Comments

• Summary by Account Number

• Summary by Account Combinations

• Account Balances by Journal Source

• Account Balances by Period

Accounts Receivable

• Aging by Due Date and Invoice Date

• Debtors with Balances Greater than Credit Limit

• Debtors with Total Amount Greater than Credit Limit

• Debtors with Net Credit Balances

• Debtor Transaction Summary

• Transactions Around a Specified Date

• AR Duplicate Field Search

Accounts Payable

• Aging by AP Invoice Date

• Duplicate Invoices or Payments

• Creditors with Net Debit Balances

• Creditors with Total Invoice Amount Greater than Approved Limit

• Creditors with Balances Greater than Approved Limit

• Creditor Transaction Summary

• Invoices without Purchase Order Numbers

• Transactions Around a Specified Date

• Transactions Posted on Specified Dates

• Transactions Posted at Specified Times

• Transactions by User ID

• AP Transactions Posted on Weekends

• AP Transactions with Rounded Amounts

• AP Duplicate Field Search

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IDEA News: SmartAnalyzer–Financials Apps

Fixed Assets

• Fixed Assets Additions

• Asset Category Summary

• Recalculate Straight Line Depreciation

• Recalculate Declining Balance Depreciation

• Depreciation Exceeding Cost

• Duplicate Field Search

Inventory

• Aging by Receipt Date and Ending

• Inventory Balance

• Aging by Receipt Date and Unit Cost

• Recalculate Inventory Balance

• Calculate Inventory Turnover Ratio

• Calculate Unit Turnover Ratio

• Zero or Negative Unit Cost

• Negative Quantity on Hand

• Inventory Location Summary

• Large Inventory Amounts

• Inventory Received Around Specified Date

• Last Sales Price Lower than Unit Cost

• Compare Sales Price with Unit Cost

• Duplicate Field Search

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IDEA Integrations using ODBC

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What is ODBC?

• ODBC stands for Open Database Connectivity

• ODBC is a specification for a database API

▪ API stands for Application program interface and is a set of routines, protocols, and tools for building software applications. An API specifies how software components should interact.

• ODBC embedded within both server and desktop Microsoft operating systems

• ODBC uses Database Management System (DBMS) specific drivers to interact with core software systems and platforms

• Microsoft Operating Systems come complete with generic drivers to access Excel, Access, Oracle and SQL Databases

• Most drivers created are system specific e.g. Sage, Quickbooks etc

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Importing Data Into IDEA Using ODBC

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Importing Data Into IDEA Using ODBC

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Pros & Cons of Importing Data Using ODBC

• Pros

▪ Access data directly to core systems or data warehouses without needing to request extracts

▪ Allow access to system related information very rarely included in reports generated by the clients / stakeholders

▪ No need for data manipulation – normalising extracted data

▪ Easier to build into an automated macro process for Continuous Auditing/Monitoring

• Cons

▪ When accessing core systems an awareness of tables and table relationships is needed

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Finding ODBC in Microsoft Windows

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Creating a Connection

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Creating a Connection

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Importing Data Into IDEA Using ODBC

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Importing Data Into IDEA Using ODBC

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Importing Data Into IDEA Using ODBC

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Importing Data Into IDEA Using ODBC

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Importing Data Into IDEA Using ODBC

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Importing Data Into IDEA Using ODBC

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Exporting Data from IDEA Using ODBC

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IDEA ODBC EXPORT

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IDEA ODBC Drivers

• Available in both 32 bit and 64 variants

• Allows software which can reference ODBC sources access to an IDEA Project

• Ideal for integrating with advanced data visualisation tools

• Enables automated processes and data sharing with clients or stakeholders

• Available to clients with a current maintenance contract

• Download links provided upon request to [email protected].

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Questions & Answers

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Thank you for your time.