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Business Analytics

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Transforming data into information, getting it into the right hands, at the ... Other (Cognos, Brio, SAS, Hyperion, etc.) Apples vs. Oranges ... – PowerPoint PPT presentation

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Title: Business Analytics


1
Business Analytics
  • Your Competitive Edge

2
  • Do you differentiate between reporting and
    analytics?

3
Analytics Defined
  • Transforming data into information, getting it
    into the right hands, at the right time and in
    the correct format to be used for timely
    decision-making

4
As Businesses Become More Complex
  • End-to-end business management application
    installations
  • Multiple branches, profit centers, business units
    and/or companies
  • More than one remote location
  • Traveling employees
  • Possible integration with line-of-business
    applications and external data sources
  • Companies with more than 100 employees and/or
    revenue more than 25 million
  • Companies with internal IT staff

5
And Decision-making Becomes More Than an Art
  • Lots of data but little information
  • Silos of data
  • Fragmented reporting
  • Varying levels of aggregation
  • Non analytical reporting
  • Manual and slow reporting process
  • Limited customization
  • Getting right information to the right people at
    the right time
  • Inability to allow users to self-service
  • Alternative to all above is a huge expense

6
Just Reporting Solutions Are Not Enough
7
Dilbert Too Feels the Pain
8
The Businesses Are Focused Here
9
Which Translates To
10
To Summarize, The Needs Are
  • Single view of truth
  • Reporting performance
  • Scalability
  • Multi-dimensional analysis for a
    multi-dimensional business
  • Data consolidation
  • Secured access to information
  • Reporting automation
  • Customizability
  • And more

11
Transaction System Reporting
  • OLTP - Database optimized for data entry and not
    for data access
  • ODBC, JDBC, OLE DB or proprietary interface
  • Time sensitive reporting
  • Burden on the transaction database

12
Data Mart Reporting
  • Feed transaction data to data mart database
  • Delayed but optimized reporting
  • View data across multiple business dimensions
    (OLAP)
  • Singular focus and scalability

13
Needs by Role
14
Needs by Usage
15
Enterprise Data Warehouse
  • Combine data from multiple OLTP databases
    single source
  • Business rules to source data including
    standardization, consolidation and cleansing
  • Cost to implement

16
How Does Analytics Help?
http//www.gantrygroup.com/pdf/Gantry20BI20Trend
s20Presentation5_11.pdf
17
Where Does Analytics Help?
http//www.gantrygroup.com/pdf/Gantry20BI20Trend
s20Presentation5_11.pdf
18
Reporting and Analytics Options
  • Sage Accpac Insight
  • ACCPAC Query
  • ACCPAC Sales Optimizer
  • Sage Accpac Options Uni Sales Analysis
  • ACCPAC Financial Link Professional
  • ACCPAC CFO/KPI
  • ACCPAC Financial Reporter (FR)
  • Business Objects Crystal Enterprise/Reports
  • F9
  • Other (Cognos, Brio, SAS, Hyperion, etc.)

19
Apples vs. Oranges
20
Insight vs. Query
  • Simple and quick
  • No support for end-to-end applications
  • No graphing, charting
  • No external data sources
  • No budgeting and consolidations
  • No reporting automation and scheduling
  • No drill-down
  • No Web deployment
  • No row/column level security
  • No multi-dimensional analysis
  • OLTP database based

21
Insight vs. Financial Link Professional
  • Simple and quick
  • Limited to General Ledger only
  • No graphing, charting
  • No external data sources
  • No budgeting and basic consolidations
  • No reporting automation and scheduling
  • Drill-down but no drill-around
  • No Web deployment
  • No row/column level security
  • No multi-dimensional analysis
  • OLTP database based

22
Insight vs. Crystal Reports/Enterprise
  • Generic reporting tool
  • First five viewing users included for free
  • Customization as complex as that in Insight
  • No differentiation between financial and
    operational data
  • No budgeting and consolidations
  • Drill-down limited by report design
  • No drill-around
  • No row/column level security
  • No multi-dimensional analysis
  • OLTP database based

23
Summary
  • Business Analytics
  • Proactive information
  • Faster and better-informed decisions
  • Edge over your competitors

24
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