13 Ace 2010 Business Intelligence And Product Analytics
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Transcript of 13 Ace 2010 Business Intelligence And Product Analytics
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2010 International Conference
Business Intelligence & Product Analytics
300 Brickstone SquareSuite 904
Andover, MA 01810
Rob McAveney
www.aras.com
aras.com
Andover, MA 01810
[978] 691‐8900
www.aras.com
Copyright © 2010 Aras All Rights Reserved.
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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 h i h d d hb dothers using reports, charts and dashboards
Decision makers often have the ability to drill down i h d d il
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into the data to get more details
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Business Intelligence Benefits
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PLM Analytics
Resolve cost overruns or margin shortfall through informed engineering changeinformed engineering change
Identify the cause of quality problems by tracing ba k to indi id al omponentsback to individual components
Dynamically respond to issues in order to increase fit bilitprofitability
Aggregate and share business data with colleagues in d t la secure and central manner
Monitor and analyze enterprise performance to take ti h
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action where necessary
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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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Why Aras is Powerful for BI
Open and TransparentOpen data model
Easy to integrate
Dynamic and ExtensibleChange and extend your data model without breaking i ti BI d hb d t d texisting BI dashboards, reports, scorecards, etc
Easy to Use & Createf ’ l h lLeveraging Microsoft’s latest technologies
Cornerstone of database & enterprise strategy
bl h dl l i d
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Able to handle real time data access
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BI Options
Simple analytics in Aras InnovatorExisting dashboard and reporting technology
Data rollup and analysis using server events
Utilize a reporting package like Reporting ServicesIncluded with Microsoft SQL ServerIncluded with Microsoft SQL Server
Fast aggregation and calculation of raw data
Charts and graphs included
Start building a data warehouse with Analysis ServicesIncluded with Microsoft SQL Server
Fast analysis of data from multiple sources
Build dashboards without writing complex code
SharePoint’s BI capabilities
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SharePoint s BI capabilities
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Simple BI in Aras: Dashboards
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Simple BI in Aras: Dashboards
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Simple BI in Aras: Data Rollup
Display the aggregated value on the form,drill down to see the raw data
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Reporting Services
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Analysis Services: Terminology
Online analytical processing (OLAP)Database technology used to integrate and analyze raw data
DimensionA way to categorize or filter data, e.g. Time or Product Line
MeasureA numerical fact, e.g. Units Sold
CubeA matrix of dimensions and measures that is optimized for fast multidimensional queries
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Analysis Services: Build a Cube
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Analysis Services: Cube Details
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Build Charts and Dashboards
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Build Charts and Dashboards
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Chart Drill Down
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Chart Drill Down
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Chart Drill Down
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Chart Drill Down
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Dynamic Charts
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Dynamic Charts
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Dynamic Charts
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Dynamic Charts
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KPI Metrics
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KPI Metrics
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KPI Metrics
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Reports in Excel for Analysis
Pivot Table connects directly to the cube
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Reports in Excel for Analysis
Drill down deep into the BOMinto the BOM
Add new columns to perform additional calculations
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Reports in Excel for Analysis
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Reports in Excel for Analysis
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