Business Intelligence & Product Analytics

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Charity Reynolds
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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 d Decision makers often have the ability to drill down into the data to get more details Copyright 2010 Aras All Rights Reserved. Slide 2

warehouse Business Analysts "slice and dice" the raw data in a meaningful way, then share their analyses with others using reports, charts

4 PLM Analytics Resolve cost overruns or margin shortfall through informed engineering change Identify the cause of quality problems by tracing back to individual id components Dynamically respond to issues in order to increase profitability Aggregate and share business data with colleagues in a secure and central manner Monitor and analyze enterprise performance to take action where necessary Copyright 2010 Aras All Rights Reserved. Slide 4

increase profitability Aggregate and share business data with colleagues in a secure and central manner

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 Copyright 2010 Aras All Rights Reserved. Slide 5

need access, not just Engineering Too many systems to learn and use and many are domain specific Executives lack

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 iti BI dashboards, d reports, scorecards, etc Easy to Use & Create Leveraging Microsoft s f latest technologies Cornerstone of database & enterprise strategy Able to handle real time data access Copyright 2010 Aras All Rights Reserved. Slide 6

scorecards, etc Easy to Use & Create Leveraging Microsoft s f latest technologies Cornerstone of

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 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 Copyright 2010 Aras All Rights Reserved. Slide 7

Charts and graphs included Start building a data warehouse with Analysis Services Included with Microsoft SQL Server Fast analysis of

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 Copyright 2010 Aras All Rights Reserved. Slide 12

g. Units Sold Cube A matrix of dimensions and measures that is optimized for fast

Implementing Data Models and Reports with Microsoft SQL Server

Course 20466C: Implementing Data Models and Reports with Microsoft SQL Server Course Details Course Outline Module 1: Introduction to Business Intelligence and Data Modeling As a SQL Server database professional,