Putting SAS/EIS software viewers in place for multidimensional data analysis. Philip Mugglestone SAS Institute

Transcription

1 Putting A/EI software viewers in place for multidimensional data analysis Philip Mugglestone A Institute

2 Different Needs Information Technology Enable end-users fast access to summarized data Alignment with data warehouse architecture Accurate and timely data Build, maintain and perform capabilities Interested in hardware and network demands Knowledge Workers atisfy need to have data reflect their business vision Exploratory analysis, help to identify possible answers Access to subsets of detail data imple (i.e. spreadsheetlike) access What can A Institute offer them?

3 Relevant buyer Questions Is the product fast with realistic quantities of data? Can it do all the analyses required, including any adhoc calculations not part of standard demonstration? Can it handle all the dimensions needed, including nested views of them? Can it handle all the volumes of information needed, in a timely, integrated fashion? Does it use metadata from a data warehouse? What is the IT overhead for creating and maintaining?

4 FAMI Fast Access to hared, Multidimensional Information Target to deliver most responses within 5 seconds, with simplest 1 second, few >20 sec Easy for use to conduct any business analysis ecure, and if update necessary, locking Multidimensional conceptual view including hierarchies All data needed: amount of input data handled and storage requirement

5 Packaged OLAP Technology Proprietary data storage architecture MDDB (Multi Dimensional Data Base) A/EI Class Viewers MDDB Enabled A/EI Classes Multidimensional report 3D Business graphs Map Organizational chart Graphical variance report

6 Business Intelligence Architecture Warehouse Administrator Extract Transform crub Add-value Warehouse torage Architecture MDDB Business Intelligence OLAP Applied Analysis

7 Business Intelligence Architecture Metadata MDDB

8 MDDB - Features Fast information retrieval Fast summarization Efficient storage Automatic statistics Flexible tuning Automatic sparsity control Remote data on any A platform Reach through to source data

9 Viewers Multidimensional report 3D Business graphs Map Organizational chart Graphical variance report

10 Common Functionality Inter-window communication Can be used in desktops ubset by Dimension Multiple selections how Detail Data... Reachthru ave As... Customise Advanced... Further customisation classes/methods

11 Multidimensional report tandard functions Drilldown / Expand wap Dimension using Drag & Drop Totals / ubtotals Report Layout Top / bottom n Computed Values how Detail Data... Traffic lighting

12

13 3D Business graphs tandard functions Drilldown Navigation Change Graph Type 3D Cylinder / Prism / Hexagon Line plot Mixed bar and line charts Grouping / tacking crollable graphs Report Layout Computed Values

14

15 Map tandard functions Drilldown Navigation Rotate Map... Report Layout Traffic lighting

16

17 Organizational chart tandard functions ubset Report layout Run Target Application Traffic lighting

18

19 Graphical variance report tandard functions Drilldown Navigation Auto traffic lighting Change hierarchy

20

21 Building Applications A/EI Metadata A/EI Metabase EI Applications Builder Build EI

22 Demonstration

23 Packaged OLAP Technology Proprietary data storage architecture MDDB (Multi Dimensional Data Base) Viewers MDDB Enabled A/EI Classes Multidimensional report 3D Business graphs Map Organizational chart Graphical variance report

24 FAMI Fast Access to hared, Multidimensional Information Target to deliver most responses within 5 seconds Easy for use to conduct any business analysis ecure Multidimensional conceptual view All data needed: amount of input data handled and storage requirement

25 Questions

26 Thank you for your attention The A ystem for successful decision making