8 13 2008 1 People. Performance. Profits I i Fi P fit bilit ith BI d Increasing Firm Profitability with BI and OLAP Cubes Tom Jones: Director, Product Marketing, ADERANT Agenda OLAP / Cube Introduction Cube basics Modifying cubes Expert Analytics Foundation Product overview and demo Product overview and demo Interacting with Cubes Microsoft Excel Microsoft SQL Server Reporting Services Advanced Features Excel 2007 Analysis features SQL Server Analysis Services features OLAP / Cube Introduction OLAP / Cube Introduction
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8�13�2008
1
People. Performance. Profits
I i Fi P fit bilit ith BI dIncreasing Firm Profitability with BI and OLAP Cubes
Tom Jones: Director, Product Marketing, ADERANT
Agenda
OLAP / Cube IntroductionCube basicsModifying cubes
Expert Analytics FoundationProduct overview and demoProduct overview and demo
Interacting with CubesMicrosoft ExcelMicrosoft SQL Server Reporting Services
Advanced FeaturesExcel 2007 Analysis featuresSQL Server Analysis Services features
OLAP / Cube IntroductionOLAP / Cube Introduction
8�13�2008
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Definitions
Focus: SQL Server 2005 / Microsoft Office 2007Core Components (FLAs)
SQL Server Relational Database EngineSQL Server Analysis Services (SSAS)SQL Server Analysis Services (SSAS)SQL Server Reporting Services (SSRS)SQL Server Integration Services (SSIS)Business Intelligence Development Studio (BIDS)
Improving organizations by providing business insightsto ALL employees, leading
Business Intelligence
© 2008 ADERANT
to better, faster, morerelevant decisions
Complete and integrated BI and performance-management offering Widespread delivery of intelligence through Microsoft Office Enterprise-grade and affordable
PersonalBI
TeamBI
OrganizationalBI
SQL Server 2005 Analysis Services
Business Intelligence FoundationDefine / modify / publish cubesPopulate cube data (SSIS packages)Additional analysis toolsAdministrative wizards **Administrative wizards Deployment tools **
Included in SQL Server License
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Cube Basics
Required ComponentsData source (fact table)MeasuresDimensions
Optional / Advanced ComponentsOptional / Advanced ComponentsCalculated membersMeasure groupsKPIsActionsPerspectives
Demo – Cube Basics
ADERANTExpert
ETLData
Warehouse
OLAPCubes
Expert Analytics Foundation
ClearViewAnalytics
BusinessUsers
OLAP Solution Architecture
© 2008 ADERANT
OLAPViewer
OfChoice
Financial Analyst /Power User
SSRSReports
SSRSReports
Cube Processing
Scheduled EventsRefresh data warehouseProcess cube
Near Real-time Capabilities
(Advanced Topic) What you need to know:
• You can schedule to run every night, every hour, when CPU is idle, etc.• There are two steps: refresh data warehouse, and process cube• If your requirement is for near real-time, you can implement “proactive caching”: Analysis Services will listen for data changes, and update dimensions and measures• You need to weigh how “fresh” your data needs to be versus processing load • Cube must be designed to support near real-time; this will be supported in SP1 of Expert Analytics Foundation.
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Modifying Cubes
Domain Specific Language (DSL)Drag-and-drop ToolsetExamples
SSAS ToolsChange
DimensionsCalculated members
Easy(Business Analyst)
Medium(DBA)
Language translationLegal vs. accounting terminologyRegional terminology Change measure definitions
Measure groupsKPIsActions / perspectives
Modifying Cubes
BIDS (“Coding”)Examples
Add additional measures (add to fact table)Add a new data source
Hard (Developer)
Add a new data sourceBuild a new cubeOptimize cube performance
ADERANT Expert Analytics FoundationADERANT Expert Analytics Foundation
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Firm Business Drivers
Improve performance by…Empowering financial analysts for strategic analysis
Ready-built cube includes hundreds of pre-defined metricsAllows focus on analysis (vs. data gathering)Excel is the primary analysis tool
Gathering and distributing performance metrics to business users
Through SharePoint and/or SSRS
Extending the content of their SharePoint portal withTrending data / additional metricsGraphical, interactive web parts
© 2008 ADERANT
Firm Concerns about Analytics
Expensive to buildData gathering: huge effort to consolidate metricsTechnology challenge: cube building / tuning / security
Expensive to deploy Costly CALs make it impractical to push analytics to the Costly CALs make it impractical to push analytics to the enterpriseProprietary technology requires expensive resources or consultants
Difficult to customizeLack of toolset / customization layer
© 2008 ADERANT
Expert Analytics Foundation Release 7.5
Completely redesigned applicationLeverages Microsoft technology
Microsoft SQL Server 2005 technologies (SSAS, SSIS, SSRS)Tight integration with Excel, SharePointPath to Microsoft SQL Server 2008 features
High performance10 f ( )Data loads 10 times faster (ETL and cube processing)
Responsive cube interaction (drill-down / slice and dice)Intuitive navigation
Logical structure and hierarchyMeasure groups
Powerful customization layerComprehensive securityCost effective
Encourages wide deployment
© 2008 ADERANT
8�13�2008
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ADERANTExpert
ETLData
Warehouse
OLAPCubes
Expert Analytics Foundation
ClearViewAnalytics
BusinessUsers
Expert Analytics Foundation Architecture
© 2008 ADERANT
OLAPViewer
OfChoice
Financial Analyst /Power User
SSRSReports
SSRSReports
Data Warehouse and OLAP Cube Features
200+ performance measuresFull multi-currency supportRapid data loading and refreshIntuitive navigation
Measure groups, drill-downPowerful, easy-to-use customization layer
Domain-Specific Language or DSLEasily customize language, dimensions, measurements, calculations, industry or firm terminology, etc.Customizations preserved during upgrades
© 2008 ADERANT
ClearView Analytics
Unlocks value of business dataDelivers tailored BI information to business users
Improves decision makingIncreases visibilityIncreases firm performance / profitability
Accessible online through SharePoint or browserConsists of pre-built queries and web parts
Aged deliverablesTime requirementsDisbursementsDebtExposureMetrics
Allows drill-down to additional informationRole-specific pages
© 2008 ADERANT
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ClearView Analytics: Firm
© 2008 ADERANT
ClearView Analytics Drill-down
© 2008 ADERANT
ClearView Analytics Drill-down
© 2008 ADERANT
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ClearView Analytics Drill-down
© 2008 ADERANT
Expert Analytics Foundation Key Points
Delivers both powerful analysis capabilities and easy information accessAnalysis
Powerful tool to analyze and understand businessLeverages Microsoft BI capabilitiesLeverages Microsoft BI capabilities
Information accessDelivers performance metrics in an easily understandable, role-based formatSupports informed decision-makingEncourages accountability
© 2008 ADERANT
Demo – Expert Analytics Foundation
Interacting with Cubes – ExcelInteracting with Cubes Excel
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Excel-based Analysis
Role: Financial AnalystAssumes the Cubes Already ExistSkills
Connect to data sourcePi t t blPivot tablesPivot charts
Demo – Excel-based Analysis
Interacting with Cubes – SSRSInteracting with Cubes SSRS
SQL Server Reporting Services
FeaturesFully supports OLAP data sourcesBrowser-based interface to launch reportsDrill-downFilteringFiltering
Creation OptionsReport Designer (Developer)Report Project Wizard (Financial Analyst)Report Builder (All Users)
Demo – SSRS / Report Builder
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Advanced FeaturesAdvanced Features
Microsoft Office Excel 2007
Goal Seek
Not OLAP-specific“What value in an input cell produces a desired result in a formula cell?”
I cannot pay more than $1800 per month for my mortgage. What is the maximum purchase price I can afford?
Result: $284,779
Excel offers option to update source data.
Demo – Goal Seek
Solver
Not OLAP-specificGoal Seek on Steroids
Multiple adjustable cellsConstraints on values of adjustable cellsMaximize or minimize a cellMaximize or minimize a cellGenerate multiple solutions to a problem
Want to learn more? www.solver.com (Frontline Systems)
Demo – Solver
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Advanced FeaturesAdvanced Features
Microsoft SQL Server 2005 Analysis Services
Data Mining Models
The Analyst Does Not Anticipate Results (!)Sample Data Mining Questions
What is the credit risk of a client?A th i t ti f li t ith i il b h i ?
DBA / Developer
Are there interesting groups of clients with similar behaviors? (targeted marketing)What services do clients tend to buy together?What is our projected revenue for next year?
Data Mining Process
Choose DM AlgorithmDecision treesLinear regressionLogistic regressionClustering
Use DM DesignerIdentify outputs (goals)Identify inputsSet parameters
E t DM M d lClusteringAssociation rulesTime series (forecast)Neural network
Execute DM Model
Transform
Act
Measure
Identify
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ConclusionsConclusions
© 2006 ADERANT
Expert Analytics Foundation Key Points
Delivers both powerful analysis capabilities and easy information accessAnalysis
Powerful tool to analyze and understand businessLeverages Microsoft BI capabilitiesLeverages Microsoft BI capabilities
Information accessDelivers performance metrics in an easily understandable, role-based formatSupports informed decision-makingEncourages accountability
© 2008 ADERANT
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8�13�2008
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Conclusion
Questions?Contact Information
Presenter: [email protected]: www.aderant.com
Expert Analytics Foundation Data Sheet isExpert Analytics Foundation Data Sheet is available Thank You!
© 2006 ADERANT
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