Transcript of Antonio Elinon Caratrel Consultants Pty Ltd. Agenda Enterprise Architecture (EA) to Business...
- 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
- Slide 23
- List of GL Transactions Parameter Prompts
- Slide 24
- 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