idea integrations using odbc - auditware
TRANSCRIPT
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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 News: Smart Analyzer-IA AppInternal Audit Apps – A collection of 183 one click Internal Audit tests
Due for Release Late 2018/Early 2019
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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.