Dare to OLAP

8/2/2019 Dare to OLAP

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Dare to OLAP

Dave Collins Global Domain Expert, Essbase & Analytics

Michael Nader Global Domain Expert, Essbase & Analytics


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Agenda

Simple, but still multidimensional, analysis:

Overview of Essbase and the concept of multidimensionality

Having a conversation with your data:

Navigating the data model in Office Easy as 1,2,3:

Modifying the data model to suite your business purpose

Things you cannot live without:

Looking at some optional, but highly useful capabilities


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Agenda









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3-D Cube

267Products

Time

Jan Feb Mar

267 units of fruit soda sold in CA in Jan

Diet Cola

Root Beer

Cream Soda

Fruit Soda

123

131

166

196

150

149

182

231

115

120

143

Dimensions

Time

Products

Markets

Members Jan, Feb, Mar (Time)

Diet Cola, Root Beer,

Cream Soda, Fruit Soda

(Products)

CA, CT, NY (Markets) Measures

Sales


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Rolling Up and Drilling Down

Rollup summarizes data by climbing up the dimension hierarchy

(dimension reduction).

Drilldown is the reverse of rollup.

rollup drilldown

Sales Jan Feb Mar Qtr1

CADiet Cola 166 182 143 491

Root Beer 131 149 120 400

Sales Qtr1

CADiet Cola 491

Root Beer 400


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Pivoting

Pivot rotates the data cube to change the data visualization.

SalesCA CT

January February January February

Diet Cola 166 182 78 56

Root Beer 131 149 55 69

Sales January February

CADiet Cola 166 182

Root Beer 131 149

CTDiet Cola 78 56

Root Beer 55 69


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Online Analytical Processing

Includes technologies and tools that support ad hoc

analysis of multi-dimensional data.

Provides multiple-user access to the analytic

information. Supports individual data analysis.

Provides a graphical user interface.

Does not require knowledge of a query language or a

programming language. Conforms to the client-server architecture.


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Essbase Products: Key Features

Integration with existing infrastructure

Data integration

Ease of server and database administration

Mission-critical applications in Web-basedenvironments

Powerful querying

Complex calculations

Robust write-back and security Ease of development


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Essbase Environment

Essbase Data

Client Tier

Web Tier

Data Tier

Desktop Office Web

Smart Viewfor Office

AdminServicesConsole

Web Analysis &FinancialReports

AdministrationServices

Reporting WebServices


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Agenda









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Smart View for Office Overview

Planning FinancialManagement

Hyperion System 9 Applications+

Analytic

Services

Hyperion System 9 BI+

Interactive Reporting

Production ReportingFinancial Reporting

Web Analysis

Smart View for

Office Client


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Smart View for Office Toolbar

Point of View Bar

Smart View

Toolbar

Hyperion Menu


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Display of Multidimensional Data

All dimensions must be represented in the

spreadsheet.

The spreadsheet layout has four sections:

Data cells

Columnlabels

Row labels

POV toolbar


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Navigating Through Hierarchies

Drill down

Drill up


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Retaining and Removing Data Subsets

Remove OnlyKeep Only


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Pivoting Data

Column Dimensions

Row Dimensions


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Member Selection and Query Design

Refining the Query


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Agenda









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Life Cycle ofEssbase Database Design

Build MDB

Load Data

Calculate

Reportand

Verify


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Database Outline

Tree structure for dimension hierarchies Consolidations and mathematical relationships

between members

Outline Editor


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Outline Terms: Generations

Generation defines a members location within theoutline hierarchy from the top of the dimension.

ScenarioGen 1

Gen 2

Gen 2

Gen 2

Gen 2

Gen 3

Gen 3

Dimension

Variances

Leaves

Branch

Budget

Actual

Forecast

Act vs Fcst

Act vs Bud

Bud vs Fcst

Gen 3

Leaves


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Outline Terms: Levels

Level defines a members location within the outline

hierarchy from the bottom of the dimension.Scenario Level 1

Level 0

Level 0

Level 0

Level 1

Level 0

Level 0

Variances

Budget

Actual

Forecast

Act vs Fcst

Act vs Bud

Bud vs Fcst

Level 0

Level 2


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Outline Terms: Genealogy

Genealogy names relationships between members in

the outline.Scenario

Variances

Siblings/Descendants ofVariances

Parent

Budget

Actual

Forecast

Act vs Fcst

Act vs Bud

Bud vs Fcst

Ancestors ofAct vs BudAct vs Fcst Bud vs Fcst

Child

DescendantsofScenario

Child

Child


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Adding Dimensions and Members

You can add dimensions and members to the outline

manually or dynamically.Adding a siblingAdding a child


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Adding Dimensions and Members

You can add dimensions and members to the outline

manually or

dynamically. Adding a siblingAdding a child


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Consolidation property defines how the member rollsup to its parent.

Consolidation operators:

Addition (+)

Subtraction (-)

Multiplication (*)

Division (/)

Percent (%)

Ignore (~)

Consolidation Property and Operators

Sales

COGS

(+)

(-)

Margin = Sales COGS

Margin

Excluded fromconsolidation


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Creating Member Formulas

Create the member

formula in Formula Editor

Formula Editing pane


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Variance Reporting Calculation

Essbase provides two variance reporting functions:

@VAR(mbrName1, mbrName2)

@VARPER(mbrName1, mbrName2)

Example:

Variance equals Actual minus Budget.

Variance % equals Actual minus Budget as a percentage of Budget.

Actual Budget VarianceVariance

%

Sales 100 120 -20 -16.67

COGS (Expense

Reporting)100 120 20 16.67

Variance = @

VAR(Actual, Budget);

Variance % = @VARPER(Actual, Budget);


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Loading Data and Metadata

Essbase

AdministrationConsoleNonformatted

Data File Rules File

+

FormattedData File

IntegrationServices


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Write-Back

1. Choose the intersection

2. Type the updated data

value

3. Click submit


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Structured Data Loading with Rules

You can format the data source to map its data to the

database.

You can store the rules in a rules file.

You can apply the rules to many data sources.

1st quarter Budget Data

Jan Feb Mar

Aspen Diet Cola Sales 150160150

Denver Kool Cola COGS 60 60 60

Manchester C-Free Cola Marketing 20 20 20

Map fields to Markets, Products, andMeasures dimensions.

Map the header to Budgetin the Scenario dimension.


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Essbase Integration Services

Data Source

Model

OutlinesEssbase Cubes

Finance

Sales

Payroll

Inventory


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Agenda




Navigating the data model in Office

Easy as 1,2,3:





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Dynamic Data Points

Move data with context: Word

PPT

Outlook

Visualize to:

Excel

Visual Explorer


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P.36

Copyright 2005, Hyperion. All rights reserved.

Visual Exploration - Best in Class

Dynamic, adaptive

visualization of data

Advanced insight through

drag-and-drop

Maintain insight withincreasing business

dimensions

Statistical Analysis

Dashboard Display

Customizable UI


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Web Analysis Overview

Ad hoc querying

and reporting

Traffic

lighting

Pinboarding


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Financial Reporting

Reports and

Books

Standard

Financial

Web

Distributed


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Q U E S T I O N SQ U E S T I O N SA N S W ER SA N S W ER S


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Documents

Dare to OLAP