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Using Accounting Intelligence Today Antonio Elinon Caratrel Consultants Pty Ltd

Antonio Elinon Caratrel Consultants Pty Ltd. Agenda Enterprise Architecture (EA) to Business Intelligence (BI) to Accounting Intelligence (AI) Accounting

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  • Slide 1
  • Antonio Elinon Caratrel Consultants Pty Ltd
  • Slide 2
  • Agenda Enterprise Architecture (EA) to Business Intelligence (BI) to Accounting Intelligence (AI) Accounting Intelligence versus Business Intelligence Why Datamart4Excel Questions/Break Datamart4Excel Demonstration
  • Slide 3
  • Is Business Intelligence Part of Enterprise Architecture? Enterprise Architecture considers all systems that leverage the resources of EA BI, ERP, end-users, and accountants all interconnect through their usage of enterprise data Without architectural planning, these interconnections could easily fail reflecting as a failure of EA itself There are ways to architecturally plan the interconnection between BI, accountants, and enterprise data
  • Slide 4
  • Business Intelligence is Here Has been around since DSS (decision support systems) and MIS (management information systems) Commonly used for competitive intelligencecompetitive intelligence Uses data gathered from a data warehouse or a data mart via ETL (extract-transform-load)data warehousedata mart ETL cost is typically 75%-80% of BI development
  • Slide 5
  • What is Accounting Intelligence A specialist form of business intelligencebusiness intelligence The general name for the set of technologies used to extract, analyse and present information from accounting and ERP applicationsERP Source: http://en.wikipedia.org/wiki/Accounting_intelligence
  • Slide 6
  • Accounting Intelligence vs Business Intelligence AI - specifically designed to analyse data from specific ERP systems BI - more general tool that can be applied to any application that uses a database
  • Slide 7
  • Accounting Intelligence vs Business Intelligence AI - no staggering of data in a data warehouse or OLAP cubedata warehouseOLAP AI - extracted directly from the ERP at the time that a query is run (real-time) BI - typically involves a batch process to extract data from live source, and stored as denormalised via ETL (extract-transform-load)
  • Slide 8
  • Accounting Intelligence vs Business Intelligence AI leverages the structure of the chart of accounts AI - dimension structures can be automatically created based on business unit hierarchies or any part of account code as stored in COA
  • Slide 9
  • Accounting Intelligence vs Business Intelligence AI query means information returned is up to the second real time data AI - accounts can be corrected and a fresh trial balance viewed immediately AI uses aggregation in accounting systems performed by the ERP when new journal entries are posted (no need for cube rebuild)
  • Slide 10
  • Accounting Intelligence vs Business Intelligence AI no ETL therefore much simpler to install, implement and maintain AI - inquiries and reports typically created by end users rather than software developers
  • Slide 11
  • Accounting Intelligence vs Business Intelligence AI - no need to separately audit both the accounts themselves and separate data warehouse and ETL process AI compliance easier for many companies SOX, IFRS
  • Slide 12
  • Advantages of AI Ensures that an enterprise resource planning (ERP) system is the single source of all operational reporting and analysis Can be relied upon to give accurate and secure information Out of the box solution, much quicker to implement than BI
  • Slide 13
  • Advantages of AI No data warehouse, no staged data to audit Data returned in real time Data is not a snapshot of yesterday or last month
  • Slide 14
  • Some Disadvantages of AI Applied only to specific ERP systems, such as JDE, Oracle E-Business and SAP Cannot integrate data from outside the ERP system Datamart4Excel does not have these disadvantages!
  • Slide 15
  • Why Datamart4Excel The Problem of the Accountant Implications of the Problem The Solution
  • Slide 16
  • The Problem of the Accountant Under-powered data analysis capabilities in tool of choice Excel versus web-based solution Proliferation of tools for accountants Locking proprietary objects (formulas/buttons) in spreadsheets Difficult to transport and reuse reports Extending work flow process
  • Slide 17
  • Implications of the Problem Unable to use the full potential of Excel Excel and non-Excel toolsets Proliferation of Excel objects with proprietary links ROI on ERP spend Decrease in productivity Impact on functional work and ability to guide the business
  • Slide 18
  • The D4E Solution End-user tool that uses only options and menus already in Excel Providing data mart capabilities with unlimited filtering and unlimited combinations for data retrieval Workflow process unchanged
  • Slide 19
  • The D4E Solution Simplify access to data sources Provide easy-to-use but powerful parameter prompts Translate Excel actions to SQL commands to access data
  • Slide 20
  • Questions/Break
  • Slide 21
  • DEMONSTRATION
  • Slide 22
  • List of GL Transactions - Menu
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  • List of GL Transactions Parameter Prompts
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  • List of GL Transactions - Results
  • Slide 25
  • Get GL Balances Parameter Prompts
  • Slide 26
  • Get GL Balances Results
  • Slide 27
  • Get GL Transactions with selected columns
  • Slide 28
  • Get GL Transactions with selected columns for Pivot reporting
  • Slide 29
  • Pivot Report of GL Transactions
  • Slide 30
  • Get GL Balances using Macro Script
  • Slide 31
  • Refresh User-Written Report
  • Slide 32
  • Refresh User-Written Reports via Script multiple reports
  • Slide 33
  • Summary Full Data Mart capability for Accounting Intelligence Full use of Excel high fidelity formatting possible Reports and spreadsheets are transportable with no proprietary formulas Only tool used is Excel Can be used to generate countless reports simultaneously
  • Slide 34
  • Questions