Mgmt Reporting With Oracle Essbase

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    Management Reporting with

    Oracle Essbase

    Yang Yang

    Business Intelligence Sales Consultant

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    Copyright 2009, Oracle and / or its affiliates. All rights reserved. 2

    Agenda

    Management Report challenges

    Value of Essbase

    Demonstration

    Q&A

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    Copyright 2009, Oracle and / or its affiliates. All rights reserved. 3

    Different Questions Used for Measuring and

    Improving Performance

    Ad-Hoc Query& Analysis

    StandardizedReporting

    FuturePast

    Forward-looking

    Questions

    Historical

    Questions

    Situational

    Questions

    Modeling andForecasting

    Present

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    The Challenges to Answering Forward

    Looking Questions

    Time-consuming Management reportingand Variance analysis

    Users living in spreadsheet hell

    Inability to build new scenarios3

    2

    1

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    The Challenges to Answering Forward

    Looking Questions

    Time-consuming Management reportingand Variance analysis

    Users living in spreadsheet hell

    Inability to build new scenarios3

    2

    1

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    Copyright 2009, Oracle and / or its affiliates. All rights reserved. 6

    Management Reporting is Part of a Broader

    Analytical Ecosystem

    ManagementReporting

    OperationalAnalytics

    FinancialReporting

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    Management Reporting is a Process

    CXOs and Managers Knowledge workers Analysts

    Helps understand

    Risks and future implications Of business alternatives and decisions

    Many iterations New data created Forward looking Variance & what-if

    analyses

    Multiple data sources Financial KPIs andOperational KPIs

    Frequent updates

    Budgets -Financial &Operational

    Forecasts -Financial &Operational

    Operational Data - Actuals

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    Why are Cubes Important?OLAP Data Powers Management Reporting

    Highly Efficient Data Storage

    Very Fast Data Access andRetrieval

    Data Organized in

    Dimensional Model, Easy forEnd-users to Understand

    Creates new Information viaWrite-back to Power What-ifScenarios

    Powerful DimensionalCalculation Engine

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    Forward-looking Analytic EngineFast and Simple with Essbase

    Powerful Calculator Hundreds of built in functions and algorithms Trending

    Goal seeking

    Procedural calculations

    Financial Intelligence Critical for Variance Analysis, understands better /

    (worse)

    Essbase understands Financial Data andCalculations

    Time Balances

    Time Intelligence Time Series calculations are hard to do

    Yet, an extremely common BI requirement

    Essbase makes it very easy at any level, anydimension, for any type of calendar

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    Copyright 2009, Oracle and / or its affiliates. All rights reserved. 10

    Forecasting

    Scenario comparison

    Trending

    Goal seeking Procedural calculations

    Custom Calculations

    What if testing

    Essbase is a Powerful CalculatorHundreds of Built-in Functions and Algorithms

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    Intelligent Metrics Deliver InsightTime Consuming & Complex to get Multiple Views

    Formulas for summarizing data can be sophisticated

    Not just SUM, AVG, MAX and MIN

    Different types of aggregations for the same views of data

    How can you guarantee results when youre navigating / drillingthrough your data?

    Last value Sum

    Oct Nov Dec Q4 Oct Nov Dec Q4

    Sales 80 87 87 87 1,200$ 1,100$ 1,500$ 3,800$

    Marketing 42 40 41 41 800$ 870$ 940$ 2,610$

    Consulting 39 46 46 46 450$ 480$ 510$ 1,440$

    Tot. Field Teams 161 173 174 174 2,450$ 2,450$ 2,950$ 7,850$

    Headcount Expenses

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    Financial IntelligenceFast and Simple with Essbase

    Critical for VarianceAnalysis

    Essbase understandsFinancial Data andCalculations

    Beyond simple aggregation

    Time Balances

    Sophisticated Functions

    Currency Calculations

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    Time IntelligenceFast and Simple with Essbase

    Time Series calculations are hard to do

    Yet, an extremely common BI requirement

    Essbase makes it very easy at any level,any dimension, for any type of calendar

    Totals, Averages, Cumulative,

    Max/Min, other calculations for:

    H-T-D (history-to-date)

    Y-T-D (year-to-date)

    S-T-D (season-to-date)

    P-T-D (period-to-date)

    Q-T-D (quarter-to-date)

    M-T-D (month-to-date)

    W-T-D (week-to-date)

    D-T-D (day-to-date)

    Prior, Next, Other periodcomparisons

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    Dynamic Time Analysis

    Any Type of Time Analysis One Outline

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    The Challenges to Answering Forward

    Looking Questions

    Time-consuming Management reportingand Variance analysis

    Users living in spreadsheet hell

    Inability to build new scenarios3

    2

    1

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    Most Modeling is Done Here!It is a Good Departmental Tool, but

    Disconnected

    Data Security Risks

    Error-prone

    Doesnt scale No controls / audit trails

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    Users are Accustomed to Spreadsheets

    Spreadsheets are inefficientfor more than two dimensions

    Data (Measures) for eachcombination of Row byColumn

    E.g., Sales for Qtr1 = 95,820

    Measures

    Time

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    But Business is More than Two Dimensions

    We typically look at more thantwo dimensions (multi-dimensional)

    So what do we do?

    Add more column headers!

    In our example:

    Total Market BY TotalProduct, Actual Sales for Qtr1= 95,820

    Creates HEADACHES!

    Measures

    Time

    Scenario

    MarketProduct

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    Multi-Dimensional = Multi-Sheet

    Add a sheet for each market

    4 Markets + Total = 5 Sheets

    The problem exacerbates

    Market(s)

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    Multi-Sheet = Nightmare

    How about by Product and by Market?

    5 Markets BY 500 Products = 2500 Sheets!

    What about by Industry too?

    Welcome to Spreadsheet Hell

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    The Solution: Eradicate Spreadsheet Hell

    Essbase Provides the Best of Both Worlds

    Use the same familiar tools, Excel, Word, PowerPoint

    Achieve Speed of Thought response time

    Benefit from a centralized enterprise-scale solution

    Oracle Essbase

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    Copyright 2009, Oracle and / or its affiliates. All rights reserved. 22

    The Challenges to Answering Forward

    Looking Questions

    Time-consuming Management reportingand Variance analysis

    Users living in spreadsheet hell

    Inability to build new scenarios3

    2

    1

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    Volatility Demands Rapid Scenario ModelingCommodity Prices, Energy Prices, Interest Rates

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    But Models are Constantly EvolvingDynamic, Iterative Processes Drive New Questions

    McDonalds: application that collects POS data every15 minutes to monitor & model customer service levels

    Alcoa: marketing application called SMART (StrategicMarketing Analysis and Reporting Tool) for tracking and

    modeling product profitability across 29 dimensions

    Southwest Airlines: application for modelingfuel costs and demand (98% forecast accuracyafter the 9/11 crisis)

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    Hundreds of Spreadsheet Models

    Throughout the Organization

    ExecutiveManagement

    Finance HROperations /Manufacturing

    Sales &Marketing

    Workforceplanning

    Impact analysis Benefits models

    Customer & StoreProfitability

    Demand Planning Merchandise

    Planning

    Customer Sat

    Parts Management

    Supply chain cost

    optimization Resource

    Management

    Warehouseprofitability

    Variance analysis

    Project / initiative

    funding models Valuation

    Risk Management

    How manydoes your

    organizationhave?

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    Forward-looking Analytic Engine

    Oracle Essbase

    Multi-user write back Uninterrupted analyses

    Secure, shared, single version of the truth

    Fast and Intuitive

    Data shown how users see ittree structure Centralized

    Functions, calculations, aggregations

    Oracle Essbase

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    Centralized Complex CalculationsEasy to Define, Validate and Maintain for All Users

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    Oracle EssbaseForward-looking Analytics

    Pain

    Time-consuming Managementreporting & Variance analysis

    Users living in spreadsheet hell

    Unable to build new scenarios

    Unique Value

    Financial & Time Intelligence

    Centralized multi-user writeback modeling environment

    Centralized complex

    calculations

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    Providing Enterprise-class OLAPMost Scalable Online Analytic Processing Technology

    Multiple and cross platform deployment Unix and/or Windows

    32 / 64-bit

    Application optimization

    Partitioning

    Clustering

    Tuning

    Trickle Feed

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    Providing Top Performance Scalability

    Market-leading OLAP Architecture

    294

    162

    0

    50

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    CompetingVendor

    Essbase

    11.9

    83

    7

    0

    10

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    30

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    90

    CompetingVendor

    Essbase CompetingVendor

    Essbase

    Load & CalculationIdentical Hardware(Minutes)

    Query Response50 Concurrent Users(Seconds)

    CPU Utilization50 Concurrent Users(%)

    0.010

    2

    4

    6

    8

    10

    12

    14

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    More Than 30,000 Users

    5,000 views & reports

    Sales

    HR

    Purchasing

    Finance

    24 x 7 availability

    Maximum query time

    less than 4 seconds

    We realized we needed apowerfu l OLAP systemonethat was highly d imensional and

    detailedthat cou ld provide

    speed of tho ught respon se fortens o f thous ands of u sers. We

    selected Hyper ion because it

    met ou r scalabi l ity and

    performance requirements.

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    Better Information, Better Decision-makingComprehensive Intelligence Across Operations

    Before

    Existing system incapable of scalingfrom 1000 to 1500 users

    Complex environment - only 40% ofusers were accessing existingsystem

    Spreadsheet based with no

    standardization of business rules Cumbersome to integrate

    information across businessfunctions.

    Walmart Stores, Inc., is one of the preeminent retailers

    worldwide with more than 7000 stores operating in 14countries. Serving more than 176 million customersper week.

    After

    Scalable, easy to use, collaborativemerchandise planning application

    Winner of the Walmart TeamInnovation award

    Expanding to include integratedanalytics across major operations,

    including logistics, transportation,category management, finance, humanresources, real estate and operations

    Repeatable solution rolled out atWalmart International

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    Oracles Integrated Analytic Solution

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    Demonstration

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    Essbase Demonstration

    Powerful Querying

    Comprehensive Calculation

    Writeback and What-if Analysis3

    2

    1

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    Appendix

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    Essbase & Oracle OLAPComplementary, Strategic, Better Together

    Oracle Essbase Oracle Database OLAPOption

    Purpose

    BI & analytic applications builtand maintained by businessanalysts.

    Accelerate query performancein an Oracle DW

    Buyer Line of Business (LoB). IT

    Typical End Users

    Line of Business users whoquery and create data withinEssbase tools and OLAPapplications.

    Users of SQL-based businessintelligence tools who querydata in the database.

    Data Management

    Strategy

    Easily combine data from a

    wide variety of data sources.

    Optimized for data in the

    Oracle database.

    ArchitectureOLAP in a server, part ofFusion Middleware

    OLAP in the Oracle Database

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    Powerful Product Volume ForecastingForecast Speed and Accuracy for 30,000 Products

    Before

    Unable to analyze at productvolume forecast details

    Only working with summarized data

    Cumbersome to create forecasts forunderstanding product volumes

    One month to create forecast baseduser input

    Difficult to merge internal invoiceand master data with third-partysyndicated data and user input

    Worlds 6th largest food company, $15.9 billion in FY09net sales. Brands marketed in more than 100countries, more than 30,000 employees.

    After

    Product-level forecasting leveraging 4years of weekly volume data for 30,000base products for 5 versions for each ofthe 15 forecast scenarios.

    Iterative what if process quicklyrestates all products for an entire

    divisions forecast. Delivers forecast results at the speed

    of thought for top-down, bottoms-upand middle-out methods.

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    Better Information, Better Decision-makingComprehensive Intelligence Across Operations

    Before

    Existing system incapable of scalingfrom 1000 to 1500 users

    Complex environment - only 40% ofusers were accessing existingsystem

    Spreadsheet based with no

    standardization of business rules Cumbersome to integrate

    information across businessfunctions.

    Walmart Stores, Inc., is one of the preeminent retailers

    worldwide with more than 7000 stores operating in 14countries. Serving more than 176 million customersper week.

    After

    Scalable, easy to use, collaborativemerchandise planning application

    Winner of the Walmart TeamInnovation award

    Expanding to include integratedanalytics across major operations,

    including logistics, transportation,category management, finance, humanresources, real estate and operations

    Repeatable solution rolled out atWalmart International

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    No More Spreadsheet HellImproved Performance Visibility and Service Quality

    Before

    Excel cumbersome, manuallymaintained (store managers phonedin results)

    Data discrepancies, low confidencein the numbers

    No standard set of performance

    measures, lack of detail for analysis

    Operators and managers spent a lotof time gathering data, less onrunning the business

    Third largest pizza chain in the US

    3000 locations worldwide

    More than $1 billion in sales

    After

    Improved availability of data (fromhours to 30 minutes)

    Standard set of measures

    Improved quality of service (ordercompleteness improved, out thedoor time reduced 10%, higher

    customer satisfaction scores)

    Faster identification and reaction totheft issues

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    Analytic Scalability Enterprise-wide

    Human

    Resources Finance

    Executive

    Management

    Development

    & Delivery

    Sales &

    Marketing

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