ACE 2010 Business Intelligence And Product Analytics

1. 2010 International Conference
Business Intelligence & Product Analytics
Rob McAveney
300 Brickstone Square
www.aras.com Suite 904
Andover, MA 01810
Andover, MA 01810
[978] 691‐8900
www.aras.com
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2. Business Intelligence Overview
Business intelligence (BI) is all about providing timely
and accurate information to support business
decisions
The raw data needed to make good decisions is
often stored in multiple databases and in different
formats, so IT must build a “data warehouse”
Business Analysts "slice and dice" the raw data in a
meaningful way, then share their analyses with
others using reports, charts and dashboards
h i h d d hb d
Decision makers often have the ability to drill down
into the data to get more details
i h d d il
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3. Business Intelligence Benefits
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4. PLM Analytics
Resolve cost overruns or margin shortfall through
informed engineering change
informed engineering change
Identify the cause of quality problems by tracing
back to individual components
ba k to indi id al omponents
Dynamically respond to issues in order to increase
profitability
fit bilit
Aggregate and share business data with colleagues in
a secure and central manner
d t l
Monitor and analyze enterprise performance to take
action where necessary
ti h
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5. Challenges for BI in PLM
Often no single point of access for product
information
No complete view of product data for business
decisions ‐ Information is disparate and not
accessible by all authorized team members
Lots of people need access, not just Engineering
Too many systems to learn and use and many are
domain specific
Executives lack easy, fast and accurate visibility into
product‐centric information
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6. Why Aras is Powerful for BI
Open and Transparent
Open data model
Easy to integrate
Dynamic and Extensible
Change and extend your data model without breaking
existing BI dashboards, reports, scorecards, etc
i ti BI d hb d t d t
Easy to Use & Create
Leveraging Microsoft’s latest technologies
f’ l h l
Cornerstone of database & enterprise strategy
Able to handle real time data access
bl h dl l i d
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7. BI Options
Simple analytics in Aras Innovator
Existing dashboard and reporting technology
Data rollup and analysis using server events
Utilize a reporting package like Reporting Services
Included with Microsoft SQL Server
Included with Microsoft SQL Server
Fast aggregation and calculation of raw data
Charts and graphs included
Start building a data warehouse with Analysis Services
Included with Microsoft SQL Server
Fast analysis of data from multiple sources
Build dashboards without writing complex code
SharePoint s BI capabilities
SharePoint’s BI capabilities
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8. Simple BI in Aras: Dashboards
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9. Simple BI in Aras: Dashboards
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10. Simple BI in Aras: Data Rollup
Display the aggregated value on the form,
drill down to see the raw data
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11. Reporting Services
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12. Analysis Services: Terminology
Online analytical processing (OLAP)
Database technology used to integrate and analyze raw data
Dimension
A way to categorize or filter data, e.g. Time or Product Line
Measure
A numerical fact, e.g. Units Sold
Cube
A matrix of dimensions and measures that is optimized for
fast multidimensional queries
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13. Analysis Services: Build a Cube
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14. Analysis Services: Cube Details
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15. Build Charts and Dashboards
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16. Build Charts and Dashboards
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17. Chart Drill Down
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18. Chart Drill Down
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19. Chart Drill Down
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20. Chart Drill Down
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21. Dynamic Charts
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22. Dynamic Charts
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23. Dynamic Charts
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24. Dynamic Charts
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25. KPI Metrics
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26. KPI Metrics
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27. KPI Metrics
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28. Reports in Excel for Analysis
Pivot Table connects directly to the cube
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29. Reports in Excel for Analysis
Drill down deep
into the BOM
Add new columns to
perform additional
calculations
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30. Reports in Excel for Analysis
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31. Reports in Excel for Analysis
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